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1,233 results for “Hepatocytes”

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ClinicalTrials.gov32/100

Evaluation of the Effect of Gabexate Mesilate in the Hepatocyte Protection After Liver Resection

ClinicalTrials.gov study NCT02710266. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
dryad32/100

Hepatocyte-specific Prominin-1 protects against liver injury-induced fibrosis by stabilizing SMAD7

Open the record for dataset details and reuse information.

publicMay 2021View details →
dryad28/100

Data from: Polycyclic aromatic hydrocarbons can trigger hepatocyte release of extracellular vesicles by various mechanisms of action depending on their affinity for the aryl hydrocarbon receptor.

Extracellular vesicles (EVs) are membrane enclosed nanostructures released by cells into the extracellular environment. As major actors of physiological intercellular communication, they have been shown to be pathogenic mediators of several liver diseases. EVs also appear to be potential actors of drug-induced liver injury, but nothing is known concerning environmental pollutants. We aimed to study the impact of polycyclic aromatic hydrocarbons (PAHs), major contaminants, on hepatocyte-derived EV production, with a special focus on hepatocyte death. Three PAHs were selected, based on their presence in food and their affinity for the aryl hydrocarbon receptor (AhR): benzo(a)pyrene (BP), dibenzo(a,h)anthracene (DBA), and pyrene (PYR). Treatment of primary rat and WIF-B9 hepatocytes by all three PAHs increased the release of EVs, mainly comprised of exosomes, in parallel with modifying exosome protein marker expression and inducing apoptosis. Moreover, PAH treatment of rodents for three months also led to increased EV levels in plasma. The EV release involved CYP metabolism and the activation of the transcription factor, the AhR, for BP and DBA and another transcription factor, the constitutive androstane receptor (CAR), for PYR. Furthermore, all PAHs increased cholesterol levels in EVs but only BP and DBA were able to reduce the cholesterol content of total cell membranes. All cholesterol changes very likely participated in the increase in EV release and cell death. Finally, we studied changes in cell membrane fluidity caused by BP and DBA due to cholesterol depletion. Our data showed increased cell membrane fluidity, which contributed to hepatocyte EV release and cell death.

opencc-zeroJul 2019View details →
dryad28/100

Data from: TAF4, a subunit of transcription factor II D, directs promoter occupancy of nuclear receptor HNF4A during post-natal hepatocyte differentiation

The functions of the TAF subunits of mammalian TFIID in physiological processes remain poorly characterised. Here we describe a novel function of TAFs in directing genomic occupancy of a transcriptional activator. Using liver-specific inactivation in mice, we show that the TAF4 subunit of TFIID is required for post-natal hepatocyte maturation. TAF4 promotes pre-initiation complex (PIC) formation at post-natal expressed liver function genes and down-regulates a subset of embryonic expressed genes by increased RNA polymerase II pausing. The TAF4-TAF12 heterodimer interacts directly with HNF4A and in vivo TAF4 is necessary to maintain HNF4A-directed embryonic gene expression at post-natal stages and promotes HNF4A occupancy of functional cis-regulatory elements adjacent to the transcription start sites of post-natal expressed genes. Stable HNF4A occupancy of these regulatory elements requires TAF4-dependent PIC formation highlighting that these are mutually dependent events. Local promoter-proximal HNF4A-TFIID interactions therefore act as instructive signals for post-natal hepatocyte differentiation.

opencc-zeroDec 2013View details →
dryad28/100

Data from: Collagen vitrigel promotes hepatocytic differentiation of induced pluripotent stem cells into functional hepatocyte-like cells

Differentiation of stem cells to hepatocytes provides an unlimited supply of human hepatocytes and therefore has been vigorously studied. However, to date, the stem cell-derived hepatocytes were suggested to be of immature features. To obtain matured hepatocytes from stem cells, we tested the effect of culturing iPS cell-derived endoderm cells on collagen vitrigel membrane and compared with our previous reported nanofiber matrix. We cultured hiPS cell-derived endoderm cells on a collagen vitrigel membrane and examined the expression profiles, and tested the activity of metabolic enzymes. Gene expression profile analysis of hepatocytic differentiation markers revealed that upon culture on collagen vitrigel membrane, immature markers of AFP decreased, with a concomitant increase in the expression of mature hepatocyte transcription factors and mature hepatocyte markers such as ALB, ASGR1. Mature markers involved in liver functions, such as transporters, cytochrome P450 enzymes, phase II metabolic enzymes were also upregulated. We observed the upregulation of the liver markers for at least 2 weeks. Gene array profiling analysis revealed that hiPS cell-derived hepatocyte-like cells (hiPS-hep) resemble that of the primary hepatocytes. Functions of the CYP enzyme activities were tested in multi-institution and all revealed high CYP1A, CYP2C19, CYP2D6, CYP3A activity, which could be maintained for at least 2 weeks in culture. Taken together, the present approach identified that collagen vitrigel membrane provides a suitable environment for the generation of hepatocytes from hiPS cells that resemble many characteristics of primary human hepatocytes.

opencc-zeroMay 2019View details →
zenodo28/100

Raw data for 'Engineered Lipids for Intracellular Reactive Oxygen Species Scavenging in Steatotic Hepatocytes'

Open the record for dataset details and reuse information.

opencc-by-4.0Apr 2024View details →
zenodo28/100

Transcriptome profiling of derived-hepatocyte progenitors from human iPSCs with nanoCAGE - part1 - genomic alignments (hg19 + hg38)

<p>This repository contains genomic alignments (BED files) of paired-end nanoCAGE sequencing data (CAGEscan data) collected from Illumina MiSeq run IDs &quot;170630_M00528_0292_000000000-B9JY8&quot; (aka &quot;NC_LIMMS&quot;) and &quot;180221_M00528_0334_000000000-B6PJM&quot; (aka &quot;NC_LIMMS2&quot;). FASTQ files were processed with the MOIRAI pipeline OP-WORKFLOW-CAGEscan-short-reads-v2.1 (Hasegawa et al. BMC Bioinformatics&nbsp;2014 May 16;15:144. doi: 10.1186/1471-2105-15-144.). Filtered pairs of reads were aligned on the human genome assemblies hg19 and hg38. See tables below for a detailed description of the samples contained in each nanoCAGE library, including barcodes and index sequences used for the demultiplexing of sequencing reads. Corresponding raw sequencing data files (FASTQ files) were deposited at Zenodo under&nbsp;the following Digital Object Identifier: 10.5281/zenodo.1014009.</p> <p>&nbsp;</p> <p><em><strong>&quot;170630_M00528_0292_000000000-B9JY8&quot; (&quot;NC_LIMMS&quot;) :</strong></em></p> <p><strong>ID&nbsp;&nbsp; Sample_name&nbsp;&nbsp; Barcode_number&nbsp;&nbsp; Barcode_sequence &nbsp; Index_sequence</strong></p> <p>1&nbsp;&nbsp; iPSC_control_rep1&nbsp;&nbsp; 4&nbsp;&nbsp; ACAGAT&nbsp;&nbsp; NNNNNNNN</p> <p>2&nbsp;&nbsp; iPSC_control_rep2&nbsp;&nbsp; 24&nbsp;&nbsp; ATCGTG&nbsp;&nbsp; NNNNNNNN</p> <p>3&nbsp;&nbsp; iPSC_control_rep3&nbsp;&nbsp; 31&nbsp;&nbsp; CACGAT&nbsp;&nbsp; NNNNNNNN</p> <p>4&nbsp;&nbsp; S3P1_OK_rep1&nbsp;&nbsp; 36&nbsp;&nbsp; CACTGA&nbsp;&nbsp; NNNNNNNN</p> <p>5&nbsp;&nbsp; S3P1_OK_rep2&nbsp;&nbsp; 46&nbsp;&nbsp; CTGACG&nbsp;&nbsp; NNNNNNNN</p> <p>6&nbsp;&nbsp; S3P1_OK_rep3&nbsp;&nbsp; 63&nbsp;&nbsp; GAGTGA&nbsp;&nbsp; NNNNNNNN</p> <p>7&nbsp;&nbsp; S4P1_OK_rep1&nbsp;&nbsp; 79&nbsp;&nbsp; GTATAC&nbsp;&nbsp; NNNNNNNN</p> <p>8&nbsp;&nbsp; S4P1_OK_rep2&nbsp;&nbsp; 92&nbsp;&nbsp; TCGAGC&nbsp;&nbsp; NNNNNNNN</p> <p>9&nbsp;&nbsp; S4P1_OK_rep3&nbsp;&nbsp; 9&nbsp;&nbsp; ACATGA&nbsp;&nbsp; NNNNNNNN</p> <p>10&nbsp;&nbsp; S4P2_OK_rep1&nbsp;&nbsp; 21&nbsp;&nbsp; ATCATA&nbsp;&nbsp; NNNNNNNN</p> <p>11&nbsp;&nbsp; S4P2_OK_rep2&nbsp;&nbsp; 33&nbsp;&nbsp; CACGTG&nbsp;&nbsp; NNNNNNNN</p> <p>12&nbsp;&nbsp; S4P2_OK_rep3&nbsp;&nbsp; 45&nbsp;&nbsp; CGATGA&nbsp;&nbsp; NNNNNNNN</p> <p>13&nbsp;&nbsp; S1P1_rep1&nbsp;&nbsp; 57&nbsp;&nbsp; GAGATA&nbsp;&nbsp; NNNNNNNN</p> <p>14&nbsp;&nbsp; S1P1_rep2&nbsp;&nbsp; 69&nbsp;&nbsp; GCTCTC&nbsp;&nbsp; NNNNNNNN</p> <p>15&nbsp;&nbsp; S1P1_rep3&nbsp;&nbsp; 81&nbsp;&nbsp; GTATGA&nbsp;&nbsp; NNNNNNNN</p> <p>16&nbsp;&nbsp; S3P1_FAILED_rep1&nbsp;&nbsp; 93&nbsp;&nbsp; TCGATA&nbsp;&nbsp; NNNNNNNN</p> <p>17&nbsp;&nbsp; S3P1_FAILED_rep2&nbsp;&nbsp; 11&nbsp;&nbsp; AGTAGC&nbsp;&nbsp; NNNNNNNN</p> <p>18&nbsp;&nbsp; S3P1_FAILED_rep3&nbsp;&nbsp; 23&nbsp;&nbsp; ATCGCA&nbsp;&nbsp; NNNNNNNN</p> <p>19&nbsp;&nbsp; S4P1_FAILED_rep1&nbsp;&nbsp; 35&nbsp;&nbsp; CACTCT&nbsp;&nbsp; NNNNNNNN</p> <p>20&nbsp;&nbsp; S4P1_FAILED_rep2&nbsp;&nbsp; 47&nbsp;&nbsp; CTGAGC&nbsp;&nbsp; NNNNNNNN</p> <p>21&nbsp;&nbsp; S4P1_FAILED_rep3&nbsp;&nbsp; 59&nbsp;&nbsp; GAGCGT&nbsp;&nbsp; NNNNNNNN</p> <p>22&nbsp;&nbsp; S4P2_FAILED_rep1&nbsp;&nbsp; 71&nbsp;&nbsp; GCTGCA&nbsp;&nbsp; NNNNNNNN</p> <p>23&nbsp;&nbsp; S4P2_FAILED_rep2&nbsp;&nbsp; 83&nbsp;&nbsp; TATAGC&nbsp;&nbsp; NNNNNNNN</p> <p>24&nbsp;&nbsp; S4P2_FAILED_rep3&nbsp;&nbsp; 95&nbsp;&nbsp; TCGCGT&nbsp;&nbsp; NNNNNNNN</p> <p>&nbsp;</p> <p><em><strong>&quot;180221_M00528_0334_000000000-B6PJM&quot; (&quot;NC_LIMMS2&quot;):</strong></em></p> <p><strong>ID&nbsp;&nbsp; Sample_name&nbsp;&nbsp; Barcode_number&nbsp;&nbsp; Barcode_sequence &nbsp; Index_sequence</strong></p> <p>25&nbsp;&nbsp; PETRI_rep1&nbsp;&nbsp; 04&nbsp;&nbsp; ACAGAT&nbsp;&nbsp; NNNNNNNN</p> <p>26&nbsp;&nbsp; PETRI_rep2&nbsp;&nbsp; 24&nbsp;&nbsp; ATCGTG&nbsp;&nbsp; NNNNNNNN</p> <p>27&nbsp;&nbsp; PETRI_rep3&nbsp;&nbsp; 31&nbsp;&nbsp; CACGAT&nbsp;&nbsp; NNNNNNNN</p> <p>28&nbsp;&nbsp; BIOCHIP_E_rep1&nbsp;&nbsp; 6&nbsp;&nbsp; CACTGA&nbsp;&nbsp; NNNNNNNN</p> <p>29&nbsp;&nbsp; BIOCHIP_M_rep1&nbsp;&nbsp; 46&nbsp;&nbsp; CTGACG&nbsp;&nbsp; NNNNNNNN</p> <p>30&nbsp;&nbsp; BIOCHIP_S_rep1&nbsp;&nbsp; 63&nbsp;&nbsp; GAGTGA&nbsp;&nbsp; NNNNNNNN</p> <p>31&nbsp;&nbsp; BIOCHIP_E_rep2&nbsp;&nbsp; 79&nbsp;&nbsp; GTATAC&nbsp;&nbsp; NNNNNNNN</p> <p>32&nbsp;&nbsp; BIOCHIP_M_rep2&nbsp;&nbsp; 92&nbsp;&nbsp; TCGAGC&nbsp;&nbsp; NNNNNNNN</p> <p>33&nbsp;&nbsp; BIOCHIP_S_rep2&nbsp;&nbsp; 09&nbsp;&nbsp; ACATGA&nbsp;&nbsp; NNNNNNNN</p> <p>34&nbsp;&nbsp; BIOCHIP_E_rep3&nbsp;&nbsp; 21&nbsp;&nbsp; ATCATA&nbsp;&nbsp; NNNNNNNN</p> <p>35&nbsp;&nbsp; BIOCHIP_M_rep3&nbsp;&nbsp; 33&nbsp;&nbsp; CACGTG&nbsp;&nbsp; NNNNNNNN</p> <p>36&nbsp;&nbsp; BIOCHIP_S_rep3&nbsp;&nbsp; 45&nbsp;&nbsp; CGATGA&nbsp;&nbsp; NNNNNNNN</p> <p>37&nbsp;&nbsp; HEPATOCYTES_rep1&nbsp;&nbsp; 57&nbsp;&nbsp; GAGATA&nbsp;&nbsp; NNNNNNNN</p> <p>38&nbsp;&nbsp; HEPATOCYTES_rep2&nbsp;&nbsp; 69&nbsp;&nbsp; GCTCTC&nbsp;&nbsp; NNNNNNNN</p> <p>39&nbsp;&nbsp; iPSC_control_rep1-2&nbsp;&nbsp; 81&nbsp;&nbsp; GTATGA&nbsp;&nbsp; NNNNNNNN</p> <p>40&nbsp;&nbsp; BIOCHIP_E_rep2-2&nbsp;&nbsp; 93&nbsp;&nbsp; TCGATA&nbsp;&nbsp; NNNNNNNN</p> <p>41&nbsp;&nbsp; BIOCHIP_M_rep1-2&nbsp;&nbsp;&nbsp; 11&nbsp;&nbsp; AGTAGC&nbsp;&nbsp; NNNNNNNN</p> <p>42&nbsp;&nbsp; BIOCHIP_S_rep2-2&nbsp;&nbsp; 23&nbsp;&nbsp; ATCGCA&nbsp;&nbsp; NNNNNNNN</p> <p>&nbsp;</p>

openOct 2017View details →
ClinicalTrials.gov28/100

Safety Study of Autologous Bone Marrow Stromal Cells With Modification by Hepatocyte Growth Factor to Treat Silicosis

ClinicalTrials.gov study NCT01977131. IPD Sharing: Not stated. Countries: 0. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad28/100

Data from: Polycyclic aromatic hydrocarbons can trigger hepatocyte release of extracellular vesicles by various mechanisms of action depending on their affinity for the aryl hydrocarbon receptor.

Open the record for dataset details and reuse information.

publicJul 2019View details →
dryad28/100

Data from: Collagen vitrigel promotes hepatocytic differentiation of induced pluripotent stem cells into functional hepatocyte-like cells

Open the record for dataset details and reuse information.

publicMay 2019View details →
dryad28/100

Data from: TAF4, a subunit of transcription factor II D, directs promoter occupancy of nuclear receptor HNF4A during post-natal hepatocyte differentiation

Open the record for dataset details and reuse information.

publicSep 2014View details →
geo24/100

Enrichment of pluripotent stem cell-derived hepatocyte-like cells

GEO Series GSE86453. Homo sapiens. 24 samples. Type: Expression profiling by array.

openGEO-OpenFeb 2017View details →
geo24/100

Effects of hepatocyte-restricted Fra-1 overexpression on hepatic gene expression in High-fat diet (HFD) fed mice

GEO Series GSE52273. Mus musculus. 5 samples. Type: Expression profiling by array.

openGEO-OpenSep 2015View details →
geo24/100

Metformin reverses a precancerous niche featuring cytoplasmic p21WAF1/CIP1-expressing hepatocytes and prevents hepatocellular carcinoma development

GEO Series GSE110524. Mus musculus. 25 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2020View details →
geo24/100

Expression Profiles of Primary Mouse Hepatocytes treated with Cyclosporin A and solvent control [RNA]

GEO Series GSE55881. Mus musculus. 24 samples. Type: Expression profiling by array.

openGEO-OpenJul 2014View details →
geo24/100

Transcriptional comparisons of stem cell-derived hepatocytes (hiPS-Hep), HepaRG cells and 3D human hepatocyte spheroids as predictive in vitro systems for drug-induced liver injury

GEO Series GSE93840. Homo sapiens. 54 samples. Type: Expression profiling by array.

openGEO-OpenMay 2017View details →
geo24/100

Drug-induced cis-regulatory elements in human hepatocytes affect molecular phenotypes associated with drug efficacy and adverse reactions

GEO Series GSE272109. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2024View details →
geo24/100

Analysis of Metabolically Stressed Primary Hepatocytes with IL-1β Recombinant Protein for 24 Hours

GEO Series GSE282137. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2025View details →
geo24/100

VEGFA mRNA-LNP promote biliary epithelial cell-to-hepatocyte conversion in acute and chronic liver diseases and reverses steatosis and fibrosis

GEO Series GSE242847. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2023View details →
geo24/100

MicroRNA-7-5p mediates the anti-oncogenic effect of hepatocyte growth factor in the MCF-10A mammary epithelial cell

GEO Series GSE102758. Homo sapiens. 2 samples. Type: Expression profiling by array.

openGEO-OpenDec 2017View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record