islet

Information for islet

Description

Irregular microscopic structures scattered throughout the pancreas and comprising its endocrine part (the endocrine pancreas). In humans, they are composed of at least four types of cells: the alpha cells, which secrete glucagon; the beta cells, which are the most abundant and secrete insulin; the delta cells, which secrete somatostatin; and the PP cells, which secrete pancreatic polypeptide. Degeneration of the beta cells, whose secretion (insulin) is important in carbohydrate metabolism, is the major cause of type I diabetes mellitus.

Source BRENDA Tissue Ontology (BTO)

ReMap Statistics

Datasets
8
Transcriptional Factors
6
Peaks
660,626
Non-redundant peaks
326,693

Description

Cell_name
pancreatic islet

External IDs

Cellosaurus
Experimental Factor
BRENDA Tissue
BTO:0000991
Wiki
islet
ATCC
islet
Synonyms
island of Langerhans; island of pancreas; islet of Langerhans
All peaks islet
Download BED file
Non redundant islet
Download BED file
CRMs islet
Download BED file
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Datasets Table for islet

Biotype Biotype modification Ecotype Target name Target modification Source Species Experiment Peaks
islet PDX1 ENA Homo sapiens ERP001456 Download (54,902)
islet CTCF ENA Homo sapiens ERP004003 Download (63,252)
islet FOXA2 ENA Homo sapiens ERP004003 Download (163,078)
islet MAFB ENA Homo sapiens ERP004003 Download (53,287)
islet NKX2-2 ENA Homo sapiens ERP004003 Download (137,600)
islet NKX3-1 ENA Homo sapiens ERP004003 Download (71,863)
islet PDX1 ENA Homo sapiens ERP004003 Download (80,819)
islet CTCF GEO Homo sapiens GSE23784 Download (35,825)
Biotype Biotype modification Ecotype Target name Target modification Source Species Experiment Peaks

ReMap is a database of transcriptional regulators peaks derived from curated ChIP-seq, ChIP-exo, DAP-seq experiments in Human and Thaliana.

You are using the 2020 ReMap (3rd) release.
The ReMap catalogues (2020, 2018, 2015) are under CC BY-NC 4.0 international license, while ReMapEnrich, remap-pipeline under GNU GPLv3 licence.

Inserm TAGC
AMU AMU-MESO

This work was granted access to the HPC resources of Aix-Marseille Université financed by the project Equip@Meso (ANR-10-EQPX-29-01) of the program "Investissements d’Avenir" supervised by the Agence Nationale de la Recherche.