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Abstract The liver is the largest solid organ and a primary metabolic hub. In recent years, intact cell nuclei were used to perform single-nuclei RNA-seq (snRNA-seq) for tissues difficult to dissociate and for flash-frozen archived tissue samples to discover unknown and rare cell sub-populations. In...
ORGANISM(S): Homo sapiens (Human) 
2020-12-21 | PXD017610 | Pride
Chromatin immunoprecipitation of SREBP-1 and RNA polII in HepG2 with detection on ENCODE arrays.
ORGANISM(S): Homo sapiens 
Alteration of various metabolites has been linked to type 2 diabetes (T2D) and insulin resistance. However, identifying significant associations between metabolites and tissue-specific phenotypes requires a multi-omics approach. In a cohort of 42 subjects with different levels of glucose tolerance (...
2020-01-06 | MTBLS1051 | MetaboLights
In each cell type the expression of genes is regulated by the action of a large number of transcription factors, but so far we have only a rudimentary knowledge of the location of the gene regulatory elements where they bind. This can now be addressed with genome-wide ChIP experiments. In a previous...
ORGANISM(S): Homo sapiens 
We used ultra deep sequencing of MnaseI trated cells to faithfully position nucleosomes before and after treatment with TGFB growth factor for 1h in HepG2-cells.
ORGANISM(S): Homo sapiens 
HepG2 cells were treated or untreated with Na-Butyrate and Chromatin immunoprecipitations were performed in order to investigate the genomic regions displaying changes in histone acetylation pattern (H3ac and H4ac) after treatment. Such ChIPs material were analyzed by ChIP-Chip, hybridizing ChIP DNA...
ORGANISM(S): Homo sapiens 
In this study we explored a unique cohort of 43 samples to build a map of metabolites varying in T2D across five different tissues (subcutaneous adipose tissue, liver, pancreatic islets, skeletal muscle and blood serum). The samples originate from the Excellence in Diabetes biobank (EXODIAB) in Swed...
2018-10-08 | MTBLS690 | MetaboLights
Identification of liver transcription factors binding sites by ChIP-chip using HepG2 cells. Inference of binding sites at base pair resolution was achieved by using bioinformatic tools on the generated data sets.
ORGANISM(S): Homo sapiens 
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