BET inhibition rescues ciliogenesis and ameliorates pancreatitis-driven phenotypic changes in mice with Par3 loss
RNA-seq (gene expression) · mouse · 12 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 12 samples: 3 × pancreas, WT, cerulein, DMSO, vs 3 × pancreas, WT, cerulein, JQ1, vs 2 × pancreas, Par3KO, cerulein, DMSO, vs 2 × pancreas, Par3KO, cerulein, JQ1,Groups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- BET Inhibition Rescues Acinar-Ductal-Metaplasia and Ciliogenesis and Ameliorates Chronic Pancreatitis-Driven Changes in Mice With Loss of the Polarity Protein Par3Cellular and molecular gastroenterology and hepatology · 2024
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE243623_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1019260 and SRA study SRP461929. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 10 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM7791953 pancreas, WT, cerulein, DMSO, rep 1 pancreas, WT, cerulein,…
- GSM7791954 pancreas, WT, cerulein, DMSO, rep 2 pancreas, WT, cerulein,…
- GSM7791955 pancreas, WT, cerulein, DMSO, rep 3 pancreas, WT, cerulein,…
- GSM7791956 pancreas, Par3KO, cerulein, DMSO, rep 1 pancreas, Par3KO, cerul…
- GSM7791957 pancreas, Par3KO, cerulein, DMSO, rep 2 pancreas, Par3KO, cerul…
- GSM7791958 pancreas, Par3KO cerulein, DMSO, rep 3
- GSM7791959 pancreas, WT, cerulein, JQ1, rep 1 pancreas, WT, cerulein,…
- GSM7791960 pancreas, WT, cerulein, JQ1, rep 2 pancreas, WT, cerulein,…
- GSM7791961 pancreas, WT, cerulein, JQ1, rep 3 pancreas, WT, cerulein,…
- GSM7791962 pancreas, Par3KO, cerulein, JQ1, rep 1 pancreas, Par3KO, cerul…
- GSM7791963 pancreas, Par3KO, cerulein, JQ1, rep 2 pancreas, Par3KO, cerul…
- GSM7791964 pancreas, Par3KO cerulein, JQ1, rep 3
- GSE325466 Transcriptomics of S3 segment in mice: response to type 1 diabetes, SGLT1/2 inhibition, or GLP1 receptor agonism response to type 1 diabetes, SGLT1/2 inhibition or GLP1 receptor agonism 54 samples shares bet, inhibition
- GSE309033 Combined BET Bromodomain and DNMT Inhibition Targets Lineage Plasticity in Prostate Cancer [BETi_DNMTi_mouse_RNAseq] 51 samples shares bet, inhibition
- GSE245287 Beta-catenin deletion and GSK3b inhibition in B-ALL cells 12 samples shares bet, inhibition
- GSE241770 ACSS2 mediates an epigenetic pathway to regulate maternal Beta-cell adaptation and progression of gestational diabetes (scRNA-Seq) 7899 samples shares bet
- GSE192687 Single-cell RNAseq analysis of renal endothelial cells in murine diabetic nephropathy 5464 samples shares bet
- GSE166225 Inference of emergent spatio-temporal processes from single-cell sequencing reveals feedback between de novo DNA methylation and chromatin condensates [RNA-seq] 288 samples shares bet
- GSE159911 “Bench-to-Bedside and Back” analysis of NAFLD model reveals common transcriptomic shifts between mouse and human during disease progression 152 samples shares bet
- GSE299709 Longitudinal monitoring of Type 1 Diabetes progression to disease onset 120 samples shares bet
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.