Ontology highlight
ABSTRACT:
PROVIDER: PRJNA880162 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR21564200_1.fastq.gz | Fastqsanger.gz | |||
| SRR21564200_2.fastq.gz | Fastqsanger.gz | |||
| SRR21564300_1.fastq.gz | Fastqsanger.gz | |||
| SRR21564300_2.fastq.gz | Fastqsanger.gz | |||
| SRR21564400_1.fastq.gz | Fastqsanger.gz |
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Project description:Metagenome of human breastmilk and infant gut
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Project description:Very little is known about miRNAs found in breastmilk cells, which also reflect the cells of the lactating mammary epithelium. Our hypothesis is that breastmilk cells are richer in miRNA compared to other milk fractions, such as skim milk. Further, the effects of milk removal by the infant on milk cell miRNA content and/or composition have not been investigated. Breastmilk cells conserved higher miRNA content than previously published lipid and skim fractions of breastmilk as well as other known sources of miRNA in humans. Specifically, 1,467 known mature miRNAs were identified and a further 1996 novel miRNAs, of which 89 were highly expressed. As previously shown, post-feed milk contained more cells than pre-feed milk, and the same was observed for miRNA content. However, no statistically significant difference was found in the expression of the total known and novel miRNAs between pre- and post-feed milk (p=0.76), although 27 known miRNAs and 1 novel miRNA were higher expressed in post-feed milk. As expected, samples richer in viable cells contained more known miRNAs (p = 0.01). Functional analysis of the top 10 most highly expressed known miRNAs showed that they may be potentially involved in crucial roles for the infant, including body fluid balance, thirst, appetite, immune responses, and development. In conclusion, breastmilk is highly rich in miRNA which may play important functions in the breastfed infant and the lactating breast. Milk removal by the infant can influence the total miRNA content of breastmilk, similar to its cell and fat content, but the miRNA composition remains constant
2016-10-04 | GSE71098 | GEO
Project description:Metagenomic and targeted meta-proteomics were used to investigate the mycobiome profile of the infant gut to identify proteins involved during atopic dermatitis manifestation in a Thai population-based birth cohort.
2021-09-14 | PXD027687 | JPOST Repository
Project description:Intestinal microorganisms impact on health maintaining gut homeostasis and shaping the host immunity, while gut dysbiosis associates with many conditions including autism, a complex neurodevelopmental disorder with multifactorial aetiology. In autism, gut dysbiosis correlates with symptom severity and is characterized by a reduced bacterial variability and a diminished beneficial commensal relationship. Microbiota can influence the expression of host microRNAs that, in turn, regulate the growth of intestinal bacteria by means of bidirectional host-gut micro-biota cross-talk. We investigated possible interactions among intestinal microbes and between them and host transcriptional modulators in autism. To this purpose, we analysed, by “omics” technologies, faecal microbiome, mycobiome and small non-coding-RNAs (particularly miRNAs and piRNAs) of children with autism and neurotypical development. Patients displayed gut dysbiosis, related to a reduction of healthy gut micro- and mycobiota, and up-regulated tran-scriptional modulators. The targets of dysregulated non-coding-RNAs are involved in intestinal permeability, inflammation and autism. Furthermore, microbial families, underrepresented in patients, participate to the production of human essential metabolites negatively influencing the health condition. Here, we propose a novel approach to analyse faeces as a whole and, for the first time, we detected miRNAs and piRNAs in faecal samples of patients with autism.
2022-03-12 | GSE198199 | GEO
Project description:Human milk (breastmilk) is much more than nutrition for the infant, containing an array of regulatory agents with immunoprotective and developmental functions. Amongst those, microRNAs (miRNAs) have recently been identified, with their properties, roles, origin and distribution in breastmilk as well as in the mammary gland being still undetermined. In this study, we examined the miRNA profile of different fractions of human milk (cells and lipids) using the OpenArray system (Applied Biosystems, 770 miRNA species measured per sample) and compared it with maternal peripheral blood mononuclear cells (PBMCs) and plasma. Although PBMCs were the richest group in miRNA species, plasma showed very low expression pattern. Thus, the human milk fractions (cells, lipid) and skim milk (not being investigated in this study) were found to conserve higher levels of miRNAs than blood in general. Specifically, human milk cell miRNA quantity was found relatively close to PBMCs, and higher than milk lipids. Correlation and clustering analyses indicated that miRNA expression and types of milk cells were highly similar to those in lipids. Milk miRNAs showed a slight correlation to PBMCs, so PBMCs potentially are not contributing to milk miRNAs. Plasma was different to all other three groups in miRNA content and expression pattern. Further, two infant formulae (a plant-based and a cow milk-based) were compared to human milk and found to contain significantly fewer miRNA species than human milk cells and lipids (p>0.001). Taken together with previous studies on miRNAs, our findings demonstrate that human milk is one of the richest sources of miRNAs among human body fluids. As a non-invasive and plentiful source of miRNAs, human milk could be used as a disease biomarker for the mammary gland, with potential in assessing lactation performance. Finally, gene target and pathways analyses identified several target mRNAs regulated by miRNAs found to be abundant in breastmilk. Given the recently identified stability and function of food-derived miRNAs in regulating mammalian genes, we propose that breastmilk is a rich source of miRNA ingested by the infant during the first months of life, and which potentially contribute to early infant development. 10 exclusively breastfeeding dyads were recruited. 10 whole milk and 10 whole blood samples were collected and fractionated to obtain 10 milk cells, 10 milk lipid, 10 mononeucleoted blood cells (PBMCs), and 10 plasma. In addition to the above 40 samples, 2 infant formula were profiled. 4 different extraction kits were used, miRNeasy mini Kit for human milk cell and PBMC samples. miRCURY RNA Isolation-Biofluids Kit for human milk lipid samples and both infant formulae. mirVana PARIS Kit for plasma samples. NanoDrop 2000 and Bioanalyzer 2100 were used to determine concentration and purity of the extracted miRNA from all samples (n=42). miRNA OpenArray panel system (Life Technologies, CA, USA) was used to profile 754 human mature miRNAs in samples. RNU48, RNU44 and U6 rRNA were used as housekeeping controls for normalisation. ath-miR159a was used as a negative control for human samples. GeneGO and Ingenuity Pathway Analysis were used to determine biological pathways. Please note that normalization of miRNAs was done in R but without generating deltaCT values, thus [1] only the list of normalized miRNA with Ct vlaue between 8 and 29 and that detected in at least 4 samples out of 10 analysed in each group is provided ('normalized_miRNAs_list.txt') [2] the sample data tables contain raw data.
2015-03-30 | E-GEOD-66358 | biostudies-arrayexpress
Project description:Breastfeeding provides important immunological benefits to the neonate, but how different immunoactive components in breastmilk contribute to immunity remains poorly understood. Here, we characterized human breastmilk T cells using single cell RNA sequencing and flow cytometry. Breastmilk contained predominantly memory T cells with immune response signaling, proliferation and an effector Th1/cytotoxic profile with high cytokine production capacities. High activation markers were balanced by an enriched Treg population and immune regulatory markers in conventional memory T cells. Gene and surface expression of tissue-residency markers indicated that breastmilk T cells represent tissue-adapted rather than circulatory T cells. In addition, breastmilk T cells had a broad homing profile and higher activation markers in these migratory subsets. The partly overlapping transcriptome profile between breastmilk and breast tissue T cells, particularly cytotoxic T cells, might support a role in local immune defense in the mammary gland. However, unique features of breastmilk, such as regulatory T cells, might imply an additional role in neonatal immune defense. We found some correlations between the breastmilk T-cell profile and clinical parameters, most notably with maternal and household factors. . Together, our data suggest that breastmilk contains an adapted T cell population that exerts their function in specific tissue-sites.
2024-07-26 | GSE273105 | GEO
Project description:<p><strong>BACKGROUND:</strong> The human intestinal microbiome plays a central role in overall health status, especially in early life stages. 16S rRNA amplicon sequencing is used to profile its taxonomic composition; however, multiomic approaches have been proposed as the most accurate methods for study of the complexity of the gut microbiota. In this study, we propose an optimized method for bacterial diversity analysis that we validated and complemented with metabolomics by analyzing fecal samples.</p><p><strong>METHODS:</strong> Forty-eight different analytical combinations regarding (1) 16S rRNA variable region sequencing, (2) a feature selection approach, and (3) taxonomy assignment methods were tested. A total of 18 infant fecal samples grouped depending on the type of feeding were analyzed by the proposed 16S rRNA workflow and by metabolomic analysis.</p><p><strong>RESULTS:</strong> The results showed that the sole use of V4 region sequencing with ASV identification and VSEARCH for taxonomy assignment produced the most accurate results. The application of this workflow showed clear differences between fecal samples according to the type of feeding, which correlated with changes in the fecal metabolic profile.</p><p><strong>CONCLUSION:</strong> A multiomic approach using real fecal samples from 18 infants with different types of feeding demonstrated the effectiveness of the proposed 16S rRNA-amplicon sequencing workflow.</p>
2021-08-18 | MTBLS2942 | MetaboLights
Project description:The use of 3D human intestinal organoid (HIO) models is growing in biomedical research due to their ability to mimic human tissue for studying diseases, developing biomarkers, and testing therapies. However, current models of the infant gut are limited, focusing mostly on necrotizing enterocolitis, leaving gaps in our understanding of healthy infant gut development. Additionally, achieving full differentiation and maturation of secretory cells, especially Paneth cells, remains challenging. Our studies suggest IL-22 can enhance maturation, though its effects on infant enteroids remain unexplored. In this study, infant-derived ileal enteroids were cultured with Th17 supernatant or IL-22, and their development was assessed via immunofluorescence staining and RNA sequencing. Our results showed that neonatal Th17 cell-derived IL-22 supported the growth and maturation of infant enteroids, including Paneth cell differentiation. IL-22 induced gene expression changes related to cellular identity, maturation, immune response, and barrier function, as revealed by RNAseq analysis.
2025-05-22 | GSE282290 | GEO