Gene Expression Data Explorer
Info Gene counts are sourced from ARCHS4, which provides uniform alignment of GEO samples. You can learn more about ARCHS4 and its pipeline here.
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GROUP CONDITION SAMPLES
liver organoid
GSM4253933 GSM4253934 GSM4253935 GSM4253942 GSM4253943 GSM4253944
GSM4253927 GSM4253928 GSM4253931 GSM4253936 GSM4253937 GSM4253940
GSM4253929 GSM4253930 GSM4253932 GSM4253938 GSM4253939 GSM4253941
Description

Submission Date: Jan 07, 2020

Summary: End-stage liver diseases are an increasing health burden and liver transplantations are currently the only curative treatment option. Due to a lack of donor livers, alternative treatments are urgently needed. Human liver organoids are very promising for regenerative medicine, however, organoids are currently cultured in Matrigel, which is extracted from the extracellular matrix of the Engelbreth-Holm-Swarm mouse sarcoma. Matrigel is poorly defined, suffers from high batch-to-batch variability and is of murine origin, which limits clinical application of organoids. Here, a novel hydrogel based on polyisocyanopeptides (PIC) and laminin-111 is described for human liver organoid culture. PIC is a synthetic hydrogel with thermodynamic properties, making it easy to handle and very attractive for clinical applications. Organoids in an optimized PIC hydrogel proliferate at rates comparable to Matrigel; proliferation rates are stiffness-dependent, with lower stiffnesses being optimal for organoid proliferation. Moreover, organoids can be efficiently differentiated towards hepatocyte-like cells with key liver functions. This proliferation and differentiation potential can be maintained over at least 16 passages. Our results indicate that PIC is a promising material for human liver organoid culture and has the potential to be used in a variety of clinical applications including cell therapy and tissue engineering.

GEO Accession ID: GSE143223

PMID: 34658689

Description

Submission Date: Jan 07, 2020

Summary: End-stage liver diseases are an increasing health burden and liver transplantations are currently the only curative treatment option. Due to a lack of donor livers, alternative treatments are urgently needed. Human liver organoids are very promising for regenerative medicine, however, organoids are currently cultured in Matrigel, which is extracted from the extracellular matrix of the Engelbreth-Holm-Swarm mouse sarcoma. Matrigel is poorly defined, suffers from high batch-to-batch variability and is of murine origin, which limits clinical application of organoids. Here, a novel hydrogel based on polyisocyanopeptides (PIC) and laminin-111 is described for human liver organoid culture. PIC is a synthetic hydrogel with thermodynamic properties, making it easy to handle and very attractive for clinical applications. Organoids in an optimized PIC hydrogel proliferate at rates comparable to Matrigel; proliferation rates are stiffness-dependent, with lower stiffnesses being optimal for organoid proliferation. Moreover, organoids can be efficiently differentiated towards hepatocyte-like cells with key liver functions. This proliferation and differentiation potential can be maintained over at least 16 passages. Our results indicate that PIC is a promising material for human liver organoid culture and has the potential to be used in a variety of clinical applications including cell therapy and tissue engineering.

GEO Accession ID: GSE143223

PMID: 34658689

Visualize Samples

Info Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.

Precomputed Differential Gene Expression

Info Differential expression signatures are automatically computed using the limma R package. More options for differential expression are available to compute below.

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Control Condition

Perturbation Condition

Only conditions with at least 1 replicate are available to select

Differential Gene Expression Analysis
Info Differential expression signatures can be computed using DESeq2 or characteristic direction.
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Bulk RNA-seq Appyter

This pipeline enables you to analyze and visualize your bulk RNA sequencing datasets with an array of downstream analysis and visualization tools. The pipeline includes: PCA analysis, Clustergrammer interactive heatmap, library size analysis, differential gene expression analysis, enrichment analysis, and L1000 small molecule search.