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Transcriptional responses of human intestinal epithelial HT-29 cells to spore-displayed p40 derived from Lacticaseibacillus rhamnosus GG

BMC Microbiology volume 22, Article number: 316 (2022) Cite this article

Abstract

Backgrounds

The aims of this study were to construct spore-displayed p40, a Lacticaseibacillus rhamnosus GG-derived soluble protein, using spore surface display technology and to evaluate transcriptional responses in human intestinal epithelial cells.

Results

p40 was displayed on the surface of Bacillus subtilis spores using spore coat protein CotG as an anchor protein. Effects of spore-displayed p40 (CotG-p40) on gene expression of intestinal epithelial cell line HT-29 were evaluated by transcriptome analysis using RNA-sequencing. As a result of differentially expressed gene (DEG) analysis, 81 genes were up-regulated and 82 genes were down-regulated in CotG-p40 stimulated cells than in unstimulated cells. Gene ontology enrichment analysis showed that CotG-p40 affected biological processes such as developmental process, metabolic process, cell surface receptor linked signaling pathway, and retinoic acid metabolic process. Gene-gene network analysis suggested that 10 DEGs (EREG, FOXF1, GLI2, PTGS2, SPP1, MMP19, TNFRSF1B, PTGER4, CLDN18, and ALDH1A3) activated by CotG-p40 were associated with probiotic action.

Conclusions

This study demonstrates the regulatory effects of CotG-p40 on proliferation and homeostasis of HT-29 cells. This study provided comprehensive insights into the transcriptional response of human intestinal epithelial cells stimulated by CotG-p40.

Background

Probiotics are live microorganisms that can confer a health benefit on the host when administered in appropriate amounts [1]. Despite many health benefits, probiotics have some limitations because they are live microorganisms. The effects of probiotics vary depending on the gut microbiome compositions of the host and on strains or doses of probiotic bacteria ingested [2]. Because probiotic bacteria are greatly affected by factors such as pH, temperature, moisture, and air, there are concerns about their viability and stability during storage or processing as well as in the human gastrointestinal (GI) tract [3]. To overcome these limitations, the research on probiotics are shifting focus to proteins derived from probiotic bacteria [4]. They not only mimic the probiotic activity of probiotic bacteria, but also have several advantages such as a specific mechanism of action and ease of storage and production [5, 6]. Thus, they are considered as a safe alternative to compensate limitations associated with live probiotics. Moreover, many researchers have been attempting to develop novel probiotics with desirable effects using probiotics engineering technology that comprehends metabolic engineering and synthetic biology [2, 7, 8].

Lacticaseibacillus rhamnosus GG (LGG) is one of the most commonly used Gram-positive probiotics strains isolated from healthy human intestines [9]. LGG can help treat diseases such as diarrhea, GI disorders, and atopic dermatitis [10,11,12]. As one of secreted proteins from LGG, p40 plays a role in the probiotic functionality of LGG [13]. p40 protein also is known to carry cysteine, histidine-dependent aminohydrolase/peptidase (CHAP) domain that exhibits peptidoglycan hydrolase (PGH) activity [14]. p40 protein suppresses disruption of barrier function and cytokine-induced apoptosis of intestinal epithelial cells by activating epidermal growth factor (EGF) receptor [15]. The activated EGF receptor also enhances proliferation, migration, and survival of intestinal epithelial cells [16]. Another study has revealed that p40 protects intestinal epithelial cells against injuries and maintain their homeostasis [17]. Although roles of p40 in intestinal epithelial cells are well understood at the protein level, its roles at the gene expression level are unclear [16,17,18].

Bacillus subtilis is a spore-forming Gram-positive bacterium [19]. It also has good safety records in that it has been used as an additive in human and animal preparations as probiotics [20]. Spore surface display technology offers many functional and economic advantages. B. subtilis spores are comprised of core, cortex, and more than 70 coat proteins including inner coat and outer coat proteins [21]. Since spores have a rigid structure, they can withstand heat, radiation, and chemicals in harsh environments such as industrial process or GI tract [22]. This unique structure of spore provides the enhanced stability to the protein displayed on the spore surface [21, 22]. These properties are extremely useful for oral delivery. In addition, only cultivation and centrifugation were required to prepare the spore displayed proteins. Spores can be obtained at a high rate (up to 1010 spores/mL) through flask culture and can be stored for a long period of time after purification [23]. Due to these advantages, spore surface display has been applied in several fields, such as whole-cell biocatalyst and vaccine development [24,25,26,27]. In our previous study, another LGG-derived p75 protein was displayed on the spore surface and its effects on transcriptional response of human intestinal epithelial cells was evaluated [28, 29].

In this study, we aimed to construct spore-displayed p40 (CotG-p40) by displaying LGG-derived p40 protein on the surface of B. subtilis spore using CotG as an anchor protein. The effect of CotG-p40 on transcriptional response of HT-29 cells is evaluated at the gene expression level by RNA-sequencing (RNA-seq). Analysis methods such as differentially expressed genes (DEGs), gene ontology (GO) enrichment, and gene-gene interaction network analysis were used to comprehend effects of CotG-p40 on gene expression of HT-29 cells.

Results

Construction of spore-displayed p40

To construct the recombinant plasmid pUB19-cotG- p40, the cotG gene from the outer coat protein CotG of B. subtilis 168 and the p40 gene from L. rhamnosus GG were amplified and overlapped. The overlapped cotG-p40 fragment was inserted into pUB19 vector. The pUB19 plasmid was digested with NotI and MluI and ligated. A flexible linker (Gly-Gly-Gly-Gly-Ser) was inserted between the C-terminus of CotG and the N-terminus of p40 to provide flexibility of structural domain movements. The construction of plasmid was verified by restriction enzymes digestion and polymerase chain reaction (PCR) methods. The recombinant plasmid was named pUB19-cotG-p40 and a diagram of its structure is presented in Fig. 1.

Fig. 1
figure 1

Plasmid diagram of recombinant plasmid. pUB19-cotG-p40 includes antibiotic markers (kan, kanamycin; amp, ampicillin), replication origin (ori), and replication protein B (repB). cotG represents the spore coat protein CotG encoding gene of Bacillus subtilis, and p40 represents the p40 protein encoding gene of Lacticaseibacillus rhamnosus GG

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Expression of spore-displayed p40

The expression of p40 on the spore surface was verified by a ninhydrin test in that p40 exhibits PGH activity. Peptidoglycan (PG) was exposed to various concentrations of CotG-p40 (1.4, 2.8, 4.2, 5.6, and 7.0 × 103 spores/mL). The PG degradation levels were determined by the ninhydrin test. As presented in Fig. 2, the absorbance increased linearly as CotG-p40 concentration increased (R2 = 0.9252). This result showed that the PGH activity of p40 protein was well maintained even when displayed on the spore surface. Therefore, it is considered that the fusion of p40 and CotG protein does not affect the biological activity of p40 protein. On the other hand, the PGH activity of wild-type spores was not observed (Fig. S1).

Fig. 2
figure 2

Determination of the peptidoglycan hydrolase activity of CotG-p40. After treatment of peptidoglycan with different concentrations of CotG-p40 (●) and wild-type spore (■) at 37 °C for 15 min, the absorbance of each sample was measured at 570 nm. All tests were performed in triplicate, and the data are presented as mean ± standard deviation

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Thermal and pH stability of spore-displayed p40

The stable expression of PGH activity of CotG-p40 was determined under various temperature and pH conditions. The PGH activity of CotG-p40 measured at room temperature (25 °C) and pH 7 was used as a control. As shown in Fig. 3a, when the temperature increased from 40 °C to 80 °C, the PGH activity of CotG-p40 decreased gradually. However, CotG-p40 still retained its initial activity more than 70 and 65% at 40 and 50 °C. CotG-p40 exhibits high thermostability retaining more than 35% of its activity even at a high temperature of 80 °C. The pH stability is also tested under various pH conditions. As presented in Fig. 3b, CotG-p40 maintained its original PGH activity at a wide range of pH 3–7 (p > 0.05). However, the PGH activity of CotG-p40 was greatly reduced to 15% at pH 2 strongly acidic and 30% at pH 8 a relatively weak alkaline.

Fig. 3
figure 3

Relative peptidoglycan hydrolase activity of CotG-p40 after heat (a) and pH (b) treatments. Relative activity was calculated by defining its activity at 25 °C and pH 7 as 100%. All tests were performed in triplicate, and the data are presented as mean ± standard deviation. Statistical analysis was performed by an unpaired two-tailed t-test. Asterisks (*) indicate a significance difference from the control (* p < 0.05, ** p < 0.01, *** p < 0.001)

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RNA-sequencing and data analysis

To investigate transcriptional responses, RNA-seq was performed for CotG-p40 treated- and wild-type spore treated- human intestinal epithelial HT-29 cells. All samples were treated for 3 h. Cells treated with PBS instead of spores were used as a control. Before functional analyses were conducted, quality control analysis was carried out for raw data obtained from RNA-seq. Clean reads were obtained after removing low-quality data and adapter sequences from raw data. As a result, 62,200,250, 80,150,244, and 77,090,466 clean reads were obtained from cells treated with CotG-p40, wild-type spores, and control, respectively, with clean ratios more than 98%. The average Q30 quality score of these three samples was above 95% and the percentage for mapped reads was over 97% (Table S1).

Differentially expressed genes in HT-29 cells stimulated with CotG-p40

DEG analysis was performed to determine transcriptome changes in HT-29 cells treated with CotG-p40. Genes with |fold change| ≥ 2 and raw p-value < 0.05 were considered as DEGs. A total of 163 DEGs were detected between the CotG-p40 treatment group and the control group, including 81 up-regulated and 82 down-regulated genes. A total of 75 DEGs were detected between the wild-type spore treatment group and the control group, showing 36 up-regulated and 39 down-regulated genes (Table S2). To confirm the similarity of expression, DEGs between samples were represented by heat maps as shown in Fig. 4. Results showed that DEGs in control and wild-type spore-stimulated cells were similar in their expression, but different from those in CotG-p40-stimulated cells. As shown in the volcano plot of Fig. 5, there were more DEGs between the control and CotG-p40 treated group than between the control and wild-type spore treated group. These results confirmed that transcriptome changes in HT-29 cells were mediated by p40 displayed on the spore surface.

Fig. 4
figure 4

Analysis of hierarchical clustering. Heat map shows expression levels of DEGs in three samples. Each column represents three different samples of CotG-p40 treated cells (G40), control cells (CON), and wild-type spore treated cells (WT). Each row represents DEGs. High expression level is indicated by “yellow” and lower expression level is indicated by “blue”

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Fig. 5
figure 5

Volcano plot of all differentially expressed genes between two samples. Fold change values are plotted on the x-axis and negative log10 p-values are plotted on the y-axis. Up-regulated genes are indicated by “yellow”. Down-regulated genes are indicated by “blue”. Genes showing no significant difference are indicated by “gray”. a, Volcano plot between wild-type spore-treated cells and control; b, Volcano plot between CotG-p40 treated cells and control

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Among genes activated by CotG-p40, DEG analysis results of genes associated with the probiotic function of LGG are shown in Table 1. fold change values of ZO-1, CLDN, OCLN, PTGS2, MMP19, ADAM17, HB-EGF, MUC2, and APRIL genes are shown. Expression levels of PTGS2 and MMP19 were increased by 3.2 and 4.87 times, respectively, confirming that gene expression patterns of CotG-p40 and p40 were partially consistent. The results of DEG analysis for all comparison groups, CotG-p40 stimulated cells vs. control, CotG-p40 stimulated cells vs. wild-type spore stimulated cells, and wild-type spore stimulated cells vs. control, are provided in Table S2 − S4 in supplementary file, respectively.

Table 1 Fold change values of genes related to intestinal function improvement of Lacticaseibacillus rhamnosus GG in CotG-p40 stimulated HT-29 cells
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Gene ontology enrichment analysis and gene-gene interaction network analysis

GO enrichment analysis was performed to analyze biological functions associated with DEGs. Gene ontology is largely divided into three categories: biological process, cellular component, and molecular function. According to the analysis, there were 46 GO terms with corrected p-value < 0.05, all of which belonged to biological process (Table S3). Among these 46 GO terms, the top 20 GO terms based on the corrected p-value are presented in Table 2. The interaction between all GO terms is presented as a network as shown in Fig. 6 using BiNGO. As a result, most genes activated by CotG-p40 were annotated in organ development (GO:0048513), system development (GO:0048731), anatomical structure development (GO:0048856), tissue development (GO:0009888), epithelial development (GO:0060429), and multicellular organismal development (GO:0007275). These are subordinate to the developmental process (GO: 0032502). Results also confirmed that many DEGs were involved in GO terms such as cell surface receptor linked signaling pathway (GO:0007166) under signaling (GO:0023052) and retinoic acid metabolic process (GO: 0042573) associated with the synthesis of vitamin A and retinoic acid under metabolic process (GO: 0008152). The results of GO enrichment analysis for all comparison groups, CotG-p40 stimulated cells vs. control, CotG-p40 stimulated cells vs. wild-type spore stimulated cells, and wild-type spore stimulated cells vs. control, are provided in Table S5, Table S6 (Fig. S2), and S7 (Fig. S3) of the supplementary file, respectively.

Table 2 Top 20 gene ontology (GO) terms of differentially expressed genes between CotG-p40 treated cells and control cells
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Fig. 6
figure 6

Gene ontology (GO) analysis for DEGs between CotG-p40 treated cells and control. The color of each node represents the enrichment level of each GO term. The size of each node represents the number of genes that map to the category represented by each node. The color saturation of the node represents the significance (p-value) of the category represented by each node

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Additionally, to identify interactions between DEGs involved in these biological processes, we obtained a gene-gene interaction network using the STRING program. Representative genes involved in each process were EREG, FOXF1, GLI2, PTGS2, SPP1, MMP19, TNFRSF1B, PTGER4, CLDN18, and ALDH1A3. Fold change values of the DEGs obtained from RNA-seq are shown in Table 3. Relationships between each gene and related GO terms are described in Fig. 7. Analysis of GO enrichment and the gene-gene interaction network showed that many genes activated by CotG-p40 were involved in biological process, including developmental process, signaling, and metabolic process.

Table 3 Differential expression of selected genes between CotG-p40 treated cells and control
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Fig. 7
figure 7

Visualization of gene-gene interaction network and gene ontology (GO) term analysis for selected genes using Cytoscape. Yellow nodes represent GO terms. Blue nodes represent DEGs. Each line represents the interaction between annotated GO terms and DEGs

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Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) validation

RT-qPCR was performed to validate RNA-seq results. We selected 7 genes (EREG, FOXF1, PTGS2, SPP1, TNFRSF1B, CLDN18, and ALDH1A3) associated with probiotic action extracted from gene-gene interaction analysis. Results of comparison between RNA-seq and RT-qPCR are shown in Fig. 8. As a result of RT-qPCR validation, we found that expression levels of all selected genes showed the same tendency as RNA-seq results.

Fig. 8
figure 8

Quantitative reverse transcription PCR (RT-qPCR) analysis data for the seven differentially expressed genes. Experiments were repeated three times. Error bars represent mean ± standard deviation (n = 3)

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Discussion

Probiotics help humans maintain homeostasis of internal microbiota and keep the intestine healthy [30]. Soluble proteins secreted by probiotics play key roles in probiotic effects, including alleviation of intestinal diseases such as inflammatory bowel disease (IBD) [31]. p40 is one of soluble proteins secreted by LGG. It controls cell proliferation, apoptosis, and intestinal homeostasis [32]. In our previous study, we have displayed a p75 protein, another LGG derived protein, on the spore surface and verified its stability at various pH and temperature conditions [28].

This study designed CotG-p40 by displaying p40 on the spore surface of B. subtilis. RNA-seq was conducted to analyze the transcriptome of CotG-p40 treated HT-29 cells to identify effects of CotG-p40 on human intestinal epithelial cells. The comparison of CotG-p40-stimulated and wild-type spore-stimulated cells to control cells identified 163 and 75 DEGs, respectively (Table S4). This explains that spore surface-displayed p40 mediate transcriptional responses of human intestinal epithelial cells.

A previous study has found that administration of LGG to neonatal mice increases the expression of CLDN3, a tight junction protein, along with the maturation of intestinal barrier function [33]. Another study has also found that LGG mediates CLDN1 to enhance the barrier function of human intestinal epithelial cells [34]. CLDN18, a claudin family protein, also supports mucosal homeostasis of cells [35]. LGG induces the expression of PTGS2 (also known as COX2) in human colon epithelial T84 cells [36]. Morteau et al. have revealed that PTGS2 contributes to maintaining mucosal integrity and healing colitis by preventing colonic injuries from acute mucosal inflammation [37].

p40 transactivates the EGF receptor by activation of matrix metalloproteinases (MMPs) and releases of a metalloproteinase domain-containing protein 17 (ADAM17) mediated heparin binding-epidermal growth factor (HB-EGF) [16, 31]. This suggests that p40 suppresses the apoptosis of the colon and preserves the barrier function [16, 31]. MMP19, a member of the MMP protein family, is involved in maintaining the epithelial barrier of the colon and attenuating colitis development [38]. Likewise, CotG-p40 showed similar effects on intestinal epithelial cells as it up-regulated the expression of PTGS2, MMP19, and CLDN18. These results indicate that CotG-p40 can help maintain the barrier function of intestinal epithelial cells similar to p40.

Results of GO enrichment analysis and gene-gene interaction network of 163 DEGs from CotG-p40 treated HT-29 cells showed that CotG-p40 was related to biological processes such as developmental process, cell surface receptor linked signaling pathway, and retinoic acid metabolic process. CotG-p40 activated genes including EREG, ALDH1A3, FOXF1, GLI2, PTGS2, SPP1, and MMP19, are associated with the developmental process. In addition, it stimulated the ALDH1A3 gene related to the retinoic acid metabolic process and other genes, such as EREG, FOXF1, GLI2, TNFRSF1B, and PTGER4, associated with cell surface receptor linked signaling pathway.

DEGs related to the developmental process, such as EREG, SPP1, and PTGS2, are known to be associated with the treatment of IBD. EREG affects the proliferation of intestinal epithelial cells and mediates intestinal wound healing and protection from IBD [39]. Over-expressed SPP1 ameliorates TNF-α induced apoptosis and participates in the mucosal protective mechanism from IBD [40]. PTGS2 is associated with maintaining mucosal integrity and healing of colitis [36]. Up-regulated EREG, SPP1, and PTGS2 by CotG-p40 support the claim that it can protect intestinal epithelial cells from intestinal diseases.

FOXF1 and GLI2 are genes related to the homeostasis of the intestinal epithelium. The FOXF1 regulates homeostasis and proliferation of adult intestinal epithelium [41]. GLI2 is a major effector in the hedgehog signaling (Hh) pathway during gut development [42]. The Hh signaling pathway is crucial in that it participates in the development of the gastrointestinal tract and regulates its homeostasis [43]. Therefore, CotG-p40 is expected to help control the homeostasis of intestinal epithelial cells.

PTGER4 and TNFRSF1B belong to cell surface receptor linked signaling pathway. They are associated with wound repair and treatment of intestinal diseases. PTGER4 is one of prostaglandin E2 (PGE2) receptors. The expression of PTGER4 can improve wound repair responses of the intestinal epithelium [44]. TNFRSF1B affects wound healing of the IBD by stimulating intestinal cell migration [45].

In this study, ALDH1A3 annotated both the developmental process and the retinoic acid metabolic process. ALDH1A3 turns retinal into retinoic acid in vitamin A metabolism [46]. Retinoic acid is a biologically active form of vitamin A. It protects the intestinal barrier and determines epithelial integrity [47]. Thus, retinoic acid produced by ALDH1A3 may help maintain the integrity of intestinal epithelial cells.

Considering the effects of wild-type spore on HT-29 cells, wild-type spore treated cells showed higher fold change values of SPP1 and CLDN18 than CotG-p40 treated ones. Although the expression level of SPP1 was only a little higher in wild-type spore treated cells, the expression level of CLDN18 was about two times higher in wild-type spore treated samples. Rhayat et al. already demonstrated that B. subtilis strains reinforce intestinal barrier integrity through up-regulation of the expression of tight junction proteins [48]. Thus, our results are partially consistent with a previous study that have shown probiotic features of B. subtilis.

Conclusions

In conclusion, we displayed p40, a significant protein in probiotic action of LGG, on the surface of B. subtilis spore and its effects on transcriptional response of human intestinal epithelial HT-29 cells were evaluated by RNA-seq. There were 10 DEGs acted similarly to the probiotic activity of p40 and LGG. CotG-p40 was associated with the developmental process, cell surface receptor linked signaling pathway, and retinoic acid metabolic process of intestinal epithelial cells. These results suggest that CotG-p40 can regulate proliferation and homeostasis of human intestinal epithelial cells.

Methods

Bacterial strains, culture conditions, and transformation

Bacterial strains used in this study are listed in Table 4. Escherichia coli DH5α and B. subtilis 168 were used for transformation and incubated at 37 °C in Luria-Bertani (LB) medium. L. rhamnosus GG ATCC 53103 was used to obtain the p40 gene and incubated at 37 °C in Man-Rogosa-Sharpe (MRS) medium. E. coli DH5α was transformed using the CaCl2-mediated method [52]. Transformation of B. subtilis was performed according to the method described by Juhas and Ajioka [53]. Ampicillin (50 μg/mL) and kanamycin (50 μg/mL) were used to screen E. coli and B. subtilis transformants, respectively.

Table 4 Bacterial strains, plasmids, and primers used in this study
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Plasmid construction

Plasmids and primers used in this study are shown in Table 4. pUB19 was used as an E. coli-B. subtilis shuttle vector. The DNA fragment (866 bp) containing cotG promoter and structure gene was amplified by PCR using forward primer set cotG-F/cotG-R with chromosomal DNA of B. subtilis. The DNA frangment (1206 bp) containing p40 structure gene except 84 bp of the signal peptide sequence was amplified from LGG chromosome using primer set p40-F/p40-R. These amplified cotG and p40 genes were fused by overlap extension PCR using primer set p40-F /cotG-R. To provide flexibility and mobility between functional domains, a flexible linker (Gly-Gly-Gly-Gly-Ser) was inserted between cotG and p40 genes [54]. The amplified cotG-p40 fragment (2042 bp) was digested with restriction enzymes NotI and MluI and ligated into pUB19 shuttle vector digested with the same enzymes.

Preparation of spores

B. subtilis 168 containing pUB19-cotG-p40 was incubated at 37 °C for 62 h in shaking incubator at 150 rpm in Difco Sporulation Medium (DSM) consisting of the 0.8% nutrient broth, 0.025% MgSO4‧7H2O, 0.1% KCl, 10 M MnCl2, 1 M FeSO4‧7H2O, 1 M Ca (NO3)2. After cultivation, the spores and the sporangial cells of B. subtilis 168 recombinant plasmid were collected by centrifugation at 5000×g for 10 min at 4 °C. Spores were obtained with a previously reported method [55]. Shortly, these spores were resuspended in 50 mM sodium phosphate buffer (pH 7.2) and treated with lysozyme to destroy residual sporangial cells at 4 °C for 1 h. After centrifugation at 5000×g for 10 min at 4 °C, the purified spores were washed with 1 M NaCl and 1 M KCl. After the final washing with 50 mM sodium phosphate buffer, spores were resuspended in sterile phosphate-buffered saline (PBS, pH 7.4) and stored at 4 °C. Plating of serial dilutions was carried out on LB agar plates to count spores. The final concentration of spores was adjusted to 105 spores/mL.

Preparation of peptidoglycan

The peptidoglycan extraction was carried out based on the method as described Atrih et al. [56]. Briefly, the bacterial pellet recovered from a 250 mL of the mid-log phase cell culture of B. subtilis. The pellet was boiled, and then centrifuged at 14,000×g for 8 min at 4 °C. The collected pellet was resuspended in boiling 5% (W/V) sodium dodecyl sulfate (SDS) and incubated for 25 min. After centrifugation, the pellet was resuspended in boiling 4% (W/V) SDS and incubated for 15 min. The insoluble residue was collected and washed in distilled water (DW) 6–7 times to eliminate SDS. Then the sediment was treated with proteinase K (2 mg/mL) and trypsin (200 μg/mL) for 1 h and 16 h, separately, at 37 °C to remove covalently attached proteins. Then the insoluble materials were collected by centrifuge and incubated in 48% (V/V) hydrofluoric acid for 24 h at 4 °C. After centrifugation, the pH of the insoluble cell wall was adjusted to 7.0 by resuspending in Tris-HCl buffer (50 mM, pH 7) and washing five times with cold DW. Finally, the PG extract was suspended in 1.5 mL DW and stored at 4 °C for further analysis.

PGH activity assay of CotG-p40

The PGH activity of CotG-p40 was measured using the ninhydrin method [57]. The PG of B. subtilis was used as a substrate. Briefly, 30 μL of CotG-p40 at different concentrations (1.4, 2.8, 4.2, 5.6, and 7.0 × 103 spores/mL) was mixed with 30 μL of PG extract. The mixtures were incubated at 37 °C for 15 min. After the reaction, the unhydrolyzed PG extract was precipitated by centrifugation at 14,000×g for 5 min. Then, 30 μL of the supernatant was taken in a new tube and 3 μL of 2% (W/V) ninhydrin solution was added. The reaction solution was incubated in boiling water bath for 5 min and cooled to room temperature for 5 min in ice bath. The absorbance of the reaction mixture was measured at 570 nm using a Nanodrop 2000 spectrophotometer (Thermo Fisher Scientific, Wilmington, DE, USA). PG treated with DW instead of CotG-p40 was used as a blank. PG treated with wild-type spores was used as a control.

Stability test

The thermal and pH stability of CotG-p40 was determined under various temperature and pH conditions based on ninhydrin assay. The thermal stability of CotG-p40 was examined by incubating 30 μL of spores (7.0 × 103 spores/mL) at various temperatures (40, 50, 60, 70, and 80 °C) for 15 min and cooling to room temperature (25 °C). The pH stability of CotG-p40 was determined by incubating 30 μL of spores in various pH buffers ranging from 2 to 8 for 15 min. Then all samples were washed at least three times with PBS. After each temperature and pH treatment, all samples were incubated with the PG extract at 37 °C for 15 min. The residual activity of each sample was measured with the ninhydrin assay as already described. Relative activity was calculated by defining the respective original activity measured at 25 °C and pH 7 as 100%.

Cell culture and spore treatment

Human intestinal epithelial cell line HT-29 was cultured in Dulbecco’s modified Eagle medium (DMEM) supplemented with 10% heat-inactivated fetal bovine serum (FBS), 100 U/mL penicillin, and 100 μg/mL streptomycin. Cells were incubated at 37 °C in a 5% CO2 incubator. The culture medium was changed every other day. HT-29 cells were then seeded into 12-well plates at a density of 4 × 105 cells/mL. After cells reached appropriate confluence, the medium was removed and cells were treated with spores (105 spores/mL) for 3 h. Cells treated with PBS instead of spores were used as a control.

RNA extraction, library construction, and RNA-sequencing

Total RNA was extracted using TRIzol reagent (Invitrogen, Waltham, MA, USA) according to the manufacturer’s instruction. Total RNA extraction from each sample was performed independently in triplicate. Total RNA samples were treated with RNase-free DNaseI to eliminate possible DNA contaminants. The quality and quantity of the RNA were verified by a NanoDrop 2000 UV spectrophotometer (Thermo Scientific, Waltham, MA, USA). Only RNA samples meeting the quality control parameters were used for RNA-seq and qRT-PCR.

Libraries were constructed using a TruSeq Stranded mRNA LT sample prep kit (Illumina, San Diego, CA, USA) following the protocol outlined by Illumina (https://support.illumina.com/sequencing/sequencing_kits/truseq-stranded-mrna.html). Briefly, mRNA was purified and fragmented from 1 μg of total RNA using oligo dT magnetic beads. The fragmented mRNAs were synthesized as single-stranded cDNAs using random hexamer primers. Using this as a template, double-stranded cDNA was obtained. Subsequently, end repair, A-tailing, and adapter ligation were performed. Then, the products were amplified with PCR to generate the final cDNA library.

RNA sequencing was performed as paired-end (2 × 101 bp) on an Illumina NovaSeq 6000 platform (Illumina, San Diego, CA, USA). Sequencing quality control was carried out using FastQC v0.11.7 (http://www.bioinformatics.babraham.ac.uk/projects/fastqc/). To obtain clean reads, adapter and low-quality reads from raw data were removed using a Trimmomatic 0.38 [58]. Clean reads were mapped to human reference genome (GRCh37) using HISAT2 version 2.1.0 and Bowtie2 2.3.4.1 software. The sequence data from this study have been deposited into Sequence Read Archive (http://www.ncbi.nlm.nih.gov/sra) under accession number PRJNA746714.

Identification of differentially expressed genes (DEGs)

The mapped reads for each sample were assembled using StringTie (https://ccb.jhu.edu/software/stringtie/). StringTie and DESeq2 were used to estimate the expression levels of transcripts [59]. The value of fragments per kilobase of transcript per million mapped reads (FPKM) was used to normalize gene expression level. Genes meeting the criteria of |fold change| > 2 and raw p-value < 0.05 were defined as DEGs.

Gene ontology (GO) enrichment analysis and gene-gene interaction network analysis

To identify biological functions of DEGs, Biological Network Gene Ontology (BiNGO) tool was used to perform GO enrichment analysis [60]. The p-values were adjusted by Benjamini-Hochberg correction for multiple hypothesis testing. The GO terms with a corrected p-value < 0.05 were considered significantly enriched. To identify interactions between DEGs, gene-gene interaction network was constructed using Search Tool for the Retrieval of Interacting Genes (STRING, https://string-db.org/) with a minimum required interaction score set at > 0.4 [61]. GO enrichment analysis and gene-gene interaction network analysis were visualized using Cytoscape v3.7.2 [62].

Quantitative real-time PCR (qRT-PCR) validation

The seven genes (EREG, FOXF1, PTGS2, SPP1, TNFRSF1B, CLDN18, and ALDH1A3) associated with probiotic action were selected and validated by RT-qPCR. cDNA was synthesized from total RNA using random hexamers (Roche, Basel, Switzerland) and M-MLV reverse transcriptase (Promega, Madison, WI, USA). RT-qPCR was performed on a CFX Connect™ Real-Time System (Bio-rad, Hercules, CA, USA) under the conditions at 95 °C for 10 s, followed by 40 cycles of 95 °C for 5 s and 60 °C for 31 s using SYBR-Green PCR Master Mix kit (Takara, Shiga, Japan). Primer sets were listed in Table 5. GAPDH gene was used as an internal control to normalize data. Relative gene expression levels were calculated using a comparative cycle threshold method [63].

Table 5 Primer sequences used for RT-qPCR
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Statistical analysis

For RT-qPCR data, all experiments were performed in triplicates. All the numeric values were expressed as mean ± standard deviation (SD). All statistical analyses were carried out using unpaired t-test of GraphPad Prism 5.0 software (GraphPad, San Diego, CA, USA).

Availability of data and materials

The datasets supporting the conclusions of this article are included within the article and its additional files. The datasets presented in this study are available in NCBI Sequence Read Archive (SRA) (http://www.ncbi.nlm.nih.gov/sra) with the accession number PRJNA746714.

Abbreviations

ADAM17:

A metalloproteinase domain-containing protein 17

BiNGO:

Biological network gene ontology

DEG:

Differentially expressed gene

DMEM:

Dulbecco’s modified Eagle medium

DSM:

Difco sporulation medium

EGF:

Epidermal growth factor

FBS:

Fetal bovine serum

FPKM:

Fragments per kilobase of transcript per million mapped reads

GO:

Gene ontology

HB-EGF:

Heparin binding-epidermal growth factor

Hh signaling:

Hedgehog signaling

IBD:

Inflammatory bowel disease

LB:

Luria-Bertani

LGG:

Lacticaseibacillus rhamnosus GG

MMPs:

Matrix metalloproteinases

MRS:

Man-Rogosa-Sharpe

PBS:

Phosphate-buffered saline

PCR:

Polymerase chain reaction

PGE2 :

Prostaglandin E2

qRT-PCR:

Quantitative real-time PCR

RNA-seq:

RNA-sequencing

SD:

Standard deviation

STRING:

Search tool for the retrieval of interacting genes

References

  1. Hotel ACP, Cordoba A. Health and nutritional properties of probiotics in food including powder milk with live lactic acid bacteria. Prevention. 2001;5(1):1–10.

    Google Scholar 

  2. Zhou Z, Chen X, Sheng H, Shen X, Sun X, Yan Y, et al. Engineering probiotics as living diagnostics and therapeutics for improving human health. Microb Cell Factories. 2020;19(1):1–12.

    Article  Google Scholar 

  3. Ayichew T, Belete A, Alebachew T, Tsehaye H, Berhanu H, Minwuyelet A. Bacterial probiotics their importances and limitations: a review. J Nutr Health Sci. 2017;4(2):202.

    Google Scholar 

  4. Delgado S, Sánchez B, Margolles A, Ruas-Madiedo P, Ruiz L. Molecules produced by probiotics and intestinal microorganisms with immunomodulatory activity. Nutrients. 2020;12(2):391.

    Article  CAS  Google Scholar 

  5. Aguilar-Toalá J, Garcia-Varela R, Garcia H, Mata-Haro V, González-Córdova A, Vallejo-Cordoba B, et al. Postbiotics: an evolving term within the functional foods field. Trends Food Sci Technol. 2018;75:105–14.

    Article  Google Scholar 

  6. Nataraj BH, Ali SA, Behare PV, Yadav H. Postbiotics-parabiotics: the new horizons in microbial biotherapy and functional foods. Microb Cell Factories. 2020;19(1):1–22.

    Article  Google Scholar 

  7. Saeidi N, Wong CK, Lo TM, Nguyen HX, Ling H, Leong SSJ, et al. Engineering microbes to sense and eradicate Pseudomonas aeruginosa, a human pathogen. Mol Syst Biol. 2011;7(1):521.

    Article  Google Scholar 

  8. Liu M, Li S, Zhang Q, Xu Z, Wang J, Sun H. Oral engineered Bifidobacterium longum expressing rhMnSOD to suppress experimental colitis. Int Immunopharmacol. 2018;57:25–32.

    Article  Google Scholar 

  9. Yan F, Polk DB. Lactobacillus rhamnosus GG: an updated strategy to use microbial products to promote health. Funct Food Rev (Print). 2012;4(2):77.

    Google Scholar 

  10. Kalliomäki M, Salminen S, Arvilommi H, Kero P, Koskinen P, Isolauri E. Probiotics in primary prevention of atopic disease: a randomised placebo-controlled trial. Lancet. 2001;357(9262):1076–9.

    Article  Google Scholar 

  11. Basu S, Chatterjee M, Ganguly S, Chandra PK. Effect of lactobacillus rhamnosus GG in persistent diarrhea in Indian children: a randomized controlled trial. J Clin Gastroenterol. 2007;41(8):756–60.

    Article  Google Scholar 

  12. Horvath A, Dziechciarz P, Szajewska H. Meta-analysis: lactobacillus rhamnosus GG for abdominal pain-related functional gastrointestinal disorders in childhood. Aliment Pharmacol Ther. 2011;33(12):1302–10.

    Article  CAS  Google Scholar 

  13. Claes IJ, Schoofs G, Regulski K, Courtin P, Chapot-Chartier M-P, Rolain T, et al. Genetic and biochemical characterization of the cell wall hydrolase activity of the major secreted protein of lactobacillus rhamnosus GG. PLoS One. 2012;7(2):e31588.

    Article  CAS  Google Scholar 

  14. Bäuerl C, Pérez-Martínez G, Yan F, Polk DB, Monedero V. Functional analysis of the p40 and p75 proteins from lactobacillus casei BL23. Microb Physiol. 2010;19(4):231–41.

    Article  Google Scholar 

  15. Yan F, Cao H, Cover TL, Washington MK, Shi Y, Liu L, et al. Colon-specific delivery of a probiotic-derived soluble protein ameliorates intestinal inflammation in mice through an EGFR-dependent mechanism. J Clin Invest. 2011;121(6):2242–53.

    Article  CAS  Google Scholar 

  16. Yan F, Liu L, Dempsey PJ, Tsai Y-H, Raines EW, Wilson CL, et al. A lactobacillus rhamnosus GG-derived soluble protein, p40, stimulates ligand release from intestinal epithelial cells to transactivate epidermal growth factor receptor. J Biol Chem. 2013;288(42):30742–51.

    Article  CAS  Google Scholar 

  17. Wang L, Cao H, Liu L, Wang B, Walker WA, Acra SA, et al. Activation of epidermal growth factor receptor mediates mucin production stimulated by p40, a lactobacillus rhamnosus GG-derived protein. J Biol Chem. 2014;289(29):20234–44.

    Article  CAS  Google Scholar 

  18. Wang Y, Liu L, Moore DJ, Shen X, Peek R, Acra SA, et al. An LGG-derived protein promotes IgA production through upregulation of APRIL expression in intestinal epithelial cells. Mucosal Immunol. 2017;10(2):373–84.

    Article  CAS  Google Scholar 

  19. Schallmey M, Singh A, Ward OP. Developments in the use of Bacillus species for industrial production. Can J Microbiol. 2004;50(1):1–17.

    Article  CAS  Google Scholar 

  20. Cutting SM. Bacillus probiotics. Food Microbiol. 2011;28(2):214–20.

    Article  Google Scholar 

  21. Guoyan Z, Yingfeng A, Zabed HM, Qi G, Yang M, Jiao Y, et al. Bacillus subtilis spore surface display technology: a review of its development and applications. 2019.

    Google Scholar 

  22. Nicholson WL, Munakata N, Horneck G, Melosh HJ, Setlow P. Resistance of Bacillus endospores to extreme terrestrial and extraterrestrial environments. Microbiol Mol Biol Rev. 2000;64(3):548–72.

    Article  CAS  Google Scholar 

  23. Kim J, Schumann W. Display of proteins on Bacillus subtilis endospores. Cell Mol Life Sci. 2009;66(19):3127–36.

    Article  CAS  Google Scholar 

  24. Chen H, Chen Z, Ni Z, Tian R, Zhang T, Jia J, et al. Display of Thermotoga maritima MSB8 nitrilase on the spore surface of Bacillus subtilis using out coat protein CotG as the fusion partner. J Mol Catal B Enzym. 2016;123:73–80.

    Article  CAS  Google Scholar 

  25. Wang H, Yang R, Hua X, Zhang W, Zhao W. An approach for lactulose production using the CotX-mediated spore-displayed β-galactosidase as a biocatalyst. J Microbiol Biotechnol. 2016;26(7):1267–77.

    Article  CAS  Google Scholar 

  26. Dai X, Liu M, Pan K, Yang J. Surface display of OmpC of Salmonella serovar Pullorum on Bacillus subtilis spores. PLoS One. 2018;13(1):e0191627.

    Article  Google Scholar 

  27. Sun H, Lin Z, Zhao L, Chen T, Shang M, Jiang H, et al. Bacillus subtilis spore with surface display of paramyosin from Clonorchis sinensis potentializes a promising oral vaccine candidate. Parasite Vectors. 2018;11(1):1–15.

    Article  Google Scholar 

  28. Kang SJ, Jun JS, Moon JA, Hong KW. Surface display of p75, a lactobacillus rhamnosus GG derived protein, on Bacillus subtilis spores and its antibacterial activity against listeria monocytogenes. AMB Express. 2020;10(1):1–9.

    Article  Google Scholar 

  29. Kang S-J, Kim M-J, Son D-Y, Kang S-S, Hong K-W. Effects of spore-displayed p75 protein from Lacticaseibacillus rhamnosus GG on the transcriptional response of HT-29 cells. Microorganisms. 2022;10(7):1276.

    Article  CAS  Google Scholar 

  30. Sanders ME, Heimbach JT, Pot B, Tancredi DJ, Lenoir-Wijnkoop I, Lähteenmäki-Uutela A, Gueimonde M, Bañares S. Health claims substantiation for probiotic and prebiotic products. Gut Microbes. 2011;2(3):127−33. 

  31. Yan F, Polk DB. Characterization of a probiotic-derived soluble protein which reveals a mechanism of preventive and treatment effects of probiotics on intestinal inflammatory diseases. Gut Microbes. 2012;3(1):25–8.

    Article  Google Scholar 

  32. Sanchez B, Urdaci MC, Margolles A. Extracellular proteins secreted by probiotic bacteria as mediators of effects that promote mucosa–bacteria interactions. Microbiology. 2010;156(11):3232–42.

    Article  CAS  Google Scholar 

  33. Patel RM, Myers LS, Kurundkar AR, Maheshwari A, Nusrat A, Lin PW. Probiotic bacteria induce maturation of intestinal claudin 3 expression and barrier function. Am J Pathol. 2012;180(2):626–35.

    Article  CAS  Google Scholar 

  34. Llewellyn A, Foey A. Probiotic modulation of innate cell pathogen sensing and signaling events. Nutrients. 2017;9(10):1156.

    Article  Google Scholar 

  35. Hagen SJ, Ang L-H, Zheng Y, Karahan SN, Wu J, Wang YE, et al. Loss of tight junction protein claudin 18 promotes progressive neoplasia development in mouse stomach. Gastroenterology. 2018;155(6):1852–67.

    Article  CAS  Google Scholar 

  36. Korhonen R, Kosonen O, Korpela R, Moilanen E. The expression of COX2 protein induced by lactobacillus rhamnosus GG, endotoxin and lipoteichoic acid in T84 epithelial cells. Lett Appl Microbiol. 2004;39(1):19–24.

    Article  CAS  Google Scholar 

  37. Morteau O, Morham SG, Sellon R, Dieleman LA, Langenbach R, Smithies O, et al. Impaired mucosal defense to acute colonic injury in mice lacking cyclooxygenase-1 or cyclooxygenase-2. J Clin Invest. 2000;105(4):469–78.

    Article  CAS  Google Scholar 

  38. Brauer R, Tureckova J, Kanchev I, Khoylou M, Skarda J, Prochazka J, et al. MMP-19 deficiency causes aggravation of colitis due to defects in innate immune cell function. Mucosal Immunol. 2016;9(4):974–85.

    Article  CAS  Google Scholar 

  39. Riese DJ II, Cullum RL. Epiregulin: roles in normal physiology and cancer. Semin Cell Dev Biol. 2014;28: Elsevier:49–56.

    Article  CAS  Google Scholar 

  40. Tang R, Yang G, Zhang S, Wu C, Chen M. Opposite effects of interferon regulatory factor 1 and osteopontin on the apoptosis of epithelial cells induced by TNF-α in inflammatory bowel disease. Inflamm Bowel Dis. 2014;20(11):1950–61.

    Article  Google Scholar 

  41. Madison BB, McKenna LB, Dolson D, Epstein DJ, Kaestner KH. FoxF1 and FoxL1 link hedgehog signaling and the control of epithelial proliferation in the developing stomach and intestine. J Biol Chem. 2009;284(9):5936–44.

    Article  CAS  Google Scholar 

  42. Coquenlorge S, Yin W-C, Yung T, Pan J, Zhang X, Mo R, et al. GLI2 modulated by SUFU and SPOP induces intestinal stem cell niche signals in development and tumorigenesis. Cell Rep. 2019;27(10):3006–18. e4.

    Article  CAS  Google Scholar 

  43. Huang H, Cotton JL, Wang Y, Rajurkar M, Zhu LJ, Lewis BC, et al. Specific requirement of Gli transcription factors in hedgehog-mediated intestinal development. J Biol Chem. 2013;288(24):17589–96.

    Article  CAS  Google Scholar 

  44. Miyoshi H, VanDussen KL, Malvin NP, Ryu SH, Wang Y, Sonnek NM, et al. Prostaglandin E2 promotes intestinal repair through an adaptive cellular response of the epithelium. EMBO J. 2017;36(1):5–24.

    Article  CAS  Google Scholar 

  45. Corredor J, Yan F, Shen CC, Tong W, John SK, Wilson G, et al. Tumor necrosis factor regulates intestinal epithelial cell migration by receptor-dependent mechanisms. Am J Physiol Cell Physiol. 2003;284(4):C953–C61.

    Article  CAS  Google Scholar 

  46. Feng H, Liu Y, Bian X, Zhou F, Liu Y. ALDH1A3 affects colon cancer in vitro proliferation and invasion depending on CXCR4 status. Br J Cancer. 2018;118(2):224–32.

    Article  CAS  Google Scholar 

  47. Yamada S, Kanda Y. Retinoic acid promotes barrier functions in human iPSC-derived intestinal epithelial monolayers. J Pharmacol Sci. 2019;140(4):337–44.

    Article  CAS  Google Scholar 

  48. Rhayat L, Maresca M, Nicoletti C, Perrier J, Brinch KS, Christian S, et al. Effect of Bacillus subtilis strains on intestinal barrier function and inflammatory response. Front Immunol. 2019;10:564.

    Article  CAS  Google Scholar 

  49. Hanahan D. Studies on transformation of Escherichia coli with plasmids. J Mol Biol. 1983;166(4):557–80.

    Article  CAS  Google Scholar 

  50. Anagnostopoulos C, Crawford I. Transformation studies on the linkage of markers in the tryptophan pathway in Bacillus subtilis. Proc Natl Acad Sci. 1961;47(3):378–90.

    Article  CAS  Google Scholar 

  51. Kang SJ, Park EA, Lee DH, Hong KW. Comparison of the stability of eGFP displayed on the Bacillus subtilis spore surface using CotB and C-terminally truncated CotB proteins as an anchoring motif under extreme conditions. Appl BiolChem. 2019;62(1):1–8.

    Google Scholar 

  52. Sambrook J, Fritsch EF, Maniatis T. Molecular cloning: a laboratory manual. New york: Cold spring harbor laboratory press; 1989.

  53. Juhas M, Ajioka JW. Integrative bacterial artificial chromosomes for DNA integration into the Bacillus subtilis chromosome. J Microbiol Methods. 2016;125:1–7.

    Article  CAS  Google Scholar 

  54. Chen X, Zaro JL, Shen W-C. Fusion protein linkers: property, design and functionality. Adv Drug Del Rev. 2013;65(10):1357–69.

    Article  CAS  Google Scholar 

  55. Nicholson WL, Setlow P. Dramatic increase in negative superhelicity of plasmid DNA in the forespore compartment of sporulating cells of Bacillus subtilis. J Bacteriol. 1990;172(1):7–14.

    Article  CAS  Google Scholar 

  56. Atrih A, Bacher G, Gn A, Williamson MP, Foster SJ. Analysis of peptidoglycan structure from vegetative cells of Bacillus subtilis 168 and role of PBP 5 in peptidoglycan maturation. J Bacteriol. 1999;181(13):3956–66.

    Article  CAS  Google Scholar 

  57. Moore S, Stein WH. Photometric Nin-hydrin method for use in the ehromatography of amino acids. J Biol Chem. 1948;176:367–88.

    Article  CAS  Google Scholar 

  58. Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30(15):2114–20.

    Article  CAS  Google Scholar 

  59. Anders S, Huber W. Differential expression analysis for sequence count data. Nat Precedings. 2010;11(10).

  60. Maere S, Heymans K, Kuiper M. BiNGO: a Cytoscape plugin to assess overrepresentation of gene ontology categories in biological networks. Bioinformatics. 2005;21(16):3448–9.

    Article  CAS  Google Scholar 

  61. Von Mering C, Jensen LJ, Snel B, Hooper SD, Krupp M, Foglierini M, et al. STRING: known and predicted protein–protein associations, integrated and transferred across organisms. Nucleic Acids Res. 2005;33(suppl_1):D433–D7.

    Google Scholar 

  62. Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13(11):2498–504.

    Article  CAS  Google Scholar 

  63. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2− ΔΔCT method. Methods. 2001;25(4):402–8.

    Article  CAS  Google Scholar 

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Acknowledgements

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Funding

This work was supported under the framework of international cooperation program managed by National Research Foundation of Korea (NRF-2018R1D1A1A02086040). The funding body played no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

Author information

Author notes

  1. Soo Ji Kang and Jeong A. Moon contributed equally to this work.

Authors and Affiliations

  1. Department of Food Science and Biotechnology, College of Life Science and Biotechnology, Dongguk University, Goyang-si, 10326, Republic of Korea

    Soo Ji Kang, Jeong A Moon, Do Yeong Son & Kwang Won Hong

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  1. Soo Ji Kang
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  2. Jeong A Moon
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Contributions

SJK, JAM, and DYS carried out the experiment and data analyses. SJK and JAM wrote the manuscript with support from DYS. KWH designed and supervised the project. All authors read and approved the final manuscript.

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Correspondence to Kwang Won Hong.

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Supplementary Information

Additional file 1: Table S1.

Quality control and mapping of raw reads. Table S2. All differentially expressed genes (DEGs) between CotG-p40 treated HT-29 cells and control. Table S3. All differentially expressed genes (DEGs) between CotG-p40-treated and wild-type spore-treated HT-29 cells. Table S4. All differentially expressed genes (DEGs) between wild-type spore treated HT-29 cells and control. Table S5. Gene ontology (GO) enrichment analysis of 163 differentially expressed genes (DEGs) between CotG-p40-treated HT-29 cells and control. Table S6. Gene ontology (GO) enrichment analysis of 147 differentially expressed genes (DEGs) between CotG-p40- and wild-type spore-treated HT-29 cells. Table S7. Gene ontology (GO) enrichment analysis of 147 differentially expressed genes (DEGs) between wild-type-spore treated HT-29 cells and control. Fig. S1. Determination of the peptidoglycan hydrolase activity of wild-type spore. After treatment of peptidoglycan with different concentrations of wild-type spore at 37°C for 15 min, the absorbance of each sample was measured at 570 nm. All tests were performed in triplicate, and the data are presented as mean ± standard deviation. Fig. S2. Gene ontology (GO) analysis for DEGs between CotG-p40- and wild-type spore-treated HT-29 cells. Fig. S3. Gene ontology (GO) analysis for DEGs between wild-type spore-treated HT-29 cells and control.

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Kang, S.J., Moon, J.A., Son, D.Y. et al. Transcriptional responses of human intestinal epithelial HT-29 cells to spore-displayed p40 derived from Lacticaseibacillus rhamnosus GG. BMC Microbiol 22, 316 (2022). https://doi.org/10.1186/s12866-022-02735-3

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Keywords

  • Spore surface display
  • p40 protein
  • HT-29 cells
  • RNA-sequencing
  • Differentially expressed genes

BMC Microbiology

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