Human small intestine
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA732897 | ENA |
REPOSITORIES: ENA
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Project description:Age and Human small intestine Metagenome
| PRJNA715766 | ENA
Project description:The intestine is composed of an epithelial layer, containing rapidly proliferating cells that mature into two distinct anatomic regions, the small and the large intestine. Although previous studies have identified stem cells as the cell-of-origin for the whole intestine, no studies have compared stem cells derived from the small and large intestine. Here, we report intrinsic differences between these two populations of cells. Primary epithelial cells isolated from human fetal small and large intestine and expanded with Wnt agonist, R-spondin 2, displayed differential expression of stem cell markers and separate hierarchical clustering of gene expression involved in differentiation, proliferation and disease pathways. Using a three-dimensional in vitro differentiation assay, single cells derived from small and large intestine formed distinct organoid architecture with cellular hierarchy similar to that found in primary tissue. Our characterization of human fetal intestinal stem cells defies the classical definition proposed by most where small and large intestine are repopulated by an identical epithelial stem cell and raises the question of the importance of intrinsic and extrinsic cues in the development of intestinal diseases.
2015-01-15 | GSE56525 | GEO
Project description:The intestine is composed of an epithelial layer, containing rapidly proliferating cells that mature into two distinct anatomic regions, the small and the large intestine. Although previous studies have identified stem cells as the cell-of-origin for the whole intestine, no studies have compared stem cells derived from the small and large intestine. Here, we report intrinsic differences between these two populations of cells. Primary epithelial cells isolated from human fetal small and large intestine and expanded with Wnt agonist, R-spondin 2, displayed differential expression of stem cell markers and separate hierarchical clustering of gene expression involved in differentiation, proliferation and disease pathways. Using a three-dimensional in vitro differentiation assay, single cells derived from small and large intestine formed distinct organoid architecture with cellular hierarchy similar to that found in primary tissue. Our characterization of human fetal intestinal stem cells defies the classical definition proposed by most where small and large intestine are repopulated by an identical epithelial stem cell and raises the question of the importance of intrinsic and extrinsic cues in the development of intestinal diseases. 12 samples were analyzed. They consisted of human fetal small and large intestine (SI; n=6 and LI; n=6) stem cells, expanded with Wnt agonist and R-spondin 2. Differential expression of genes in epithelial cells from both the large and small intestine were observed.
2015-01-15 | E-GEOD-56525 | biostudies-arrayexpress
Project description:<p>The diagnosed incidence of small bowel neuroendocrine tumors (NETs) is increasing. While patients with localized disease can be treated surgically, those with metastatic disease currently have few treatment options. The success of biologically targeted therapies in other malignancies has led to interest in the molecular alterations underlying the pathogenesis of these NETs. To identify genetic aberrations in small intestine NETs, we generated copy number profiles from 31 primary and metastatic tumors and performed whole-exome sequencing on a subset of 29 primary small intestine NETs and 24 metastatic NETs in parallel with normal blood DNA. Whole-genome sequencing data was generated on 15 tumor/normal pairs and 5 primary/metastasis/normal trios. The global genetic landscape of small bowel NETs is relatively quiet. Consistent with previous studies, the overwhelming majority of tumors were characterized by loss of chromosome 18 and, to a lesser extent, other chromosome arm gains and losses. In stark contrast to arm-level alterations, recurrent high-level focal amplifications and deletions were much less prevalent in these tumors. High-throughput mutation screening and exome sequencing revealed similarly low rates of somatic mutation in NETs (median of 0.77 non-silent mutations per megabase (Mb) of coding DNA) compared to other recent cancer exome sequencing efforts. Our analysis of this cohort identified only a single, statistically significant recurrent somatic mutation targeting the cyclin-dependent kinase inhibitor gene, CDKN1B, encoding p27. </p>
| phs000579 | dbGaP
Project description:Thiele2013 - Small intestine glandular cells
The model of small intestine glandular cells metabolism is derived from the community-driven global reconstruction of human metabolism (version 2.02, MODEL1109130000
).
This model is described in the article:
A community-driven global reconstruction of human metabolism.
Thiele I, et al
.
Nature Biotechnology
Abstract:
Multiple models of human metabolism have been reconstructed, but each represents only a subset of our knowledge. Here we describe Recon 2, a community-driven,
consensus 'metabolic reconstruction', which is the most comprehensive representation of human metabolism that is applicable to computational modeling. Compared
with its predecessors, the reconstruction has improved topological and functional features, including ~2x more reactions and ~1.7x more unique metabolites. Using
Recon 2 we predicted changes in metabolite biomarkers for 49 inborn errors of metabolism with 77% accuracy when compared to experimental data. Mapping metabolomic
data and drug information onto Recon 2 demonstrates its potential for integrating and analyzing diverse data types. Using protein expression data, we automatically
generated a compendium of 65 cell type-specific models, providing a basis for manual curation or investigation of cell-specific metabolic properties. Recon 2 will
facilitate many future biomedical studies and is freely available at http://humanmetabolism.org/.
This model is hosted on BioModels Database
and identified by: MODEL1310110020
.
To cite BioModels Database, please use: BioModels Database: An enhanced,
curated and annotated resource for published quantitative kinetic models
.
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer
to CC0 Public Domain Dedication
for more information.
2005-01-01 | MODEL1310110020 | BioModels
Project description:The intestine is an organ responsible for absorption and metabolism of orally administered drugs. It is necessary to examine the human intestinal expression profiles of the genes related to drug absorption, distribution, metabolism, and excretion (ADME), for accurate prediction of pharmacokinetics in the intestine. However, previous studies had issues such as the evaluation limited to specific molecules and regions, and relatively small sample sizes. In this study, to obtain more accurate expression profiles of mRNA and protein in various regions of human intestine, biopsy samples were collected from 38 patients with various regions, duodenum, jejunum, ileum, colon and rectum, and RNA-seq analysis and quantitative proteomics analysis were performed. We performed the expression analysis of drug-metabolizing enzymes (cytochromes P450 (CYP ) and non–CYP enzymes), apical and basolateral drug transporters, and nuclear receptors. Overall, mRNA expression levels of these ADME-related molecules were highly correlated with the protein expression levels. The characteristics of the expression of ADME-related genes in human small and large intestines differed significantly, such as higher or lower expression levels of CYP enzymes in the small or large intestines, respectively. Most CYPs were expressed dominantly in the small intestine. Non-CYPs were expressed in the large intestine, but their expression levels were lower than those in the small intestine. The expression levels of ADME-related genes differed even between the proximal and distal small intestine. The expression of transporters showed their highest abundance in the ileum. The data in the present study contributes to an improved understanding of intestinal ADME of drug candidates, and would be useful for drug discovery research.
2023-05-08 | GSE215285 | GEO
Project description:Uhlén2015 - Human tissue-based proteome metabolic network - small intestine
Human small intestine specific proteome metabolic network
This model is described in the article:
Tissue-based map of the human proteome
Uhlén M, Fagerberg L, Hallström BM, Lindskog C, Oksvold P, Mardinoglu A, Sivertsson Å, Kampf C, Sjöstedt E, Asplund A, Olsson I, Edllund K, Lundberg E, Navani S, Szigyarto AC, Odeberg J, Djureinovic D, Takanen JO, Hober S, Alm T, Edqvist P, Berlin H, Tegel H, Mulder J, Rockberg J, Nilsson P, Schwenk JM, Hamsten M, von Feilitzen K, Forsberg M, Persson L, Johansson F, Zwahlen M, von Heijne G, Nielsen J, Pontén F.
Science 2015 January; 347(6220)
Abstract:
Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray–based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body.
This model is hosted on
BioModels Database
and identified by:
MODEL1411240024.
To cite BioModels Database, please use:
BioModels:
ten-year anniversary .
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2015-01-28 | MODEL1411240024 | BioModels
Project description:To define changes in gene expression resulting from loss of hnf4 in the small intestine. Keywords: genetic modification
2005-12-31 | GSE3124 | GEO
Project description:Modification of Gene Expression of the Small Airway Epithelium in Response to Cigarette Smoking The earliest morphologic evidence of changes in the airways associated with chronic cigarette smoking is in the small airways. To help understand how smoking modifies small airway structure and function, we developed a strategy using fiberoptic bronchoscopy and brushing to sample the human small airway (10th-12th order) bronchial epithelium to assess gene expression (HG-133 Plus 2.0 array) in phenotypically normal smokers (n=10, 33 ± 7 pack-yr) compared to matched non-smokers (n=12). Even though the smokers were phenotypically normal, analysis of the small airway epithelium of the smokers compared to the non-smokers demonstrated up- and -down-regulation of genes in multiple categories relevant to the pathogenesis of chronic obstructive lung disease (COPD), including genes coding for cytokines/innate immunity, apoptosis, mucin, response to oxidants and xenobiotics, and general cellular processes. In the context that COPD starts in the small airways, these gene expression changes in the small airway epithelium in phenotypically normal smokers are candidates for the development of therapeutic strategies to prevent the onset of COPD. Keywords: smokers vs non-smokers
2006-11-21 | GSE4498 | GEO