Transcriptional profiling of mature murine adipocytes of the inguinal white adipose tissue depot following LPCAT3 deletion and dietary PUFA manipulation
RNA-seq (gene expression) · mouse · 30 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
- 30 samples: 8 conditions, mostly with about 4 replicates eachGroups 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.
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 GSE218943_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 PRJNA906164. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 30 samples.
How we read this: 8 replicated groups read from 30 sample titles; they account for 30 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.
- GSM6760299 iwat, wt_sfa, 1 iwat, wt_sfa,
- GSM6760300 iwat, wt_sfa, 2 iwat, wt_sfa,
- GSM6760301 iwat, wt_sfa, 3 iwat, wt_sfa,
- GSM6760302 iwat, wt_sfa, 4 iwat, wt_sfa,
- GSM6760303 iwat, ko_sfa, 1 iwat, ko_sfa,
- GSM6760304 iwat, ko_sfa, 2 iwat, ko_sfa,
- GSM6760305 iwat, ko_sfa, 3 iwat, ko_sfa,
- GSM6760306 iwat, ko_sfa, 4 iwat, ko_sfa,
- GSM6760307 iwat, wt_n6, 1 iwat, wt_n6,
- GSM6760308 iwat, wt_n6, 2 iwat, wt_n6,
- GSM6760309 iwat, wt_n6, 3 iwat, wt_n6,
- GSM6760310 iwat, wt_n6, 4 iwat, wt_n6,
- GSM6760311 iwat, ko_n6, 1 iwat, ko_n6,
- GSM6760312 iwat, ko_n6, 2 iwat, ko_n6,
- GSM6760313 iwat, ko_n6, 3 iwat, ko_n6,
- GSM6760314 iwat, ko_n6, 4 iwat, ko_n6,
- GSM6760315 iwat, wt_n3, 1 iwat, wt_n3,
- GSM6760316 iwat, wt_n3, 2 iwat, wt_n3,
- GSM6760317 iwat, wt_n3, 3 iwat, wt_n3,
- GSM6760318 iwat, wt_n3, 4 iwat, wt_n3,
- GSM6760319 iwat, ko_n3, 1 iwat, ko_n3,
- GSM6760320 iwat, ko_n3, 2 iwat, ko_n3,
- GSM6760321 iwat, ko_n3, 3 iwat, ko_n3,
- GSM6760322 iwat, ko_n3, 4 iwat, ko_n3,
- GSM6760402 iwat, 60% n6 HFD, wt, rep 1 iwat, 60% n6 HFD, wt,
- GSM6760403 iwat, 60% n6 HFD, wt, rep 2 iwat, 60% n6 HFD, wt,
- GSM6760404 iwat, 60% n6 HFD, wt, rep 3 iwat, 60% n6 HFD, wt,
- GSM6760405 iwat, 60% n6 HFD, ko, rep 1 iwat, 60% n6 HFD, ko,
- GSM6760406 iwat, 60% n6 HFD, ko, rep 2 iwat, 60% n6 HFD, ko,
- GSM6760407 iwat, 60% n6 HFD, ko, rep 3 iwat, 60% n6 HFD, ko,
- GSE218938 Transcriptional profiling of mature murine adipocytes of the inguinal white adipose tissue depot following LPCAT3 deletion and dietary PUFA manipulation [bulk RNA-seq] 24 samples shares lpcat3, pufa, manipulation, adipocytes, following, inguinal, deletion, adipose
- GSE218941 Transcriptional profiling of mature murine adipocytes of the inguinal white adipose tissue depot following LPCAT3 deletion and dietary PUFA manipulation [snRNA-seq] 6 samples shares lpcat3, pufa, manipulation, adipocytes, following, inguinal, deletion, adipose
- GSE232928 Transcriptional profiling of mature murine adipocytes of the inguinal white adipose tissue depot following LPCAT3 deletion and HFD-induced adipose hypertrophy. 24 samples shares lpcat3, adipocytes, following, inguinal, deletion, adipose
- GSE293584 RNA-sequencing of SVF-derived preadipocytes and adipocytes from inguinal white adipose tissue of male mice treated with vehicle, CGRPa, NPY, NE, or SP 21 samples shares adipocytes, inguinal, adipose
- GSE283700 RNA-sequencing of SVF-derived preadipocytes from inguinal adipose tissue of male mice differentiating under control conditions or treated with CGRP 15 samples shares adipocytes, inguinal, adipose
- GSE273413 Adipose stem cells are sexually dimorphic cells with dual roles as preadipocytes and resident fibroblasts [FACS_pgWAT_iWAT_ASC] 143 samples shares adipocytes, adipose
- GSE272408 Adipose stem cells are sexually dimorphic cells with dual roles as preadipocytes and resident fibroblasts [bulk_adipocytes] 62 samples shares adipocytes, adipose
- GSE202686 Circadian Regulation of Murine Inguinal Adipocytes 61 samples shares adipocytes, inguinal
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.