RNA-Seq analysis LPCAT3 knockdown effect on primary human endometrial stromal cells(HESC).
RNA-seq (gene expression) · human · 6 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
- Homo sapiens (human)
- Samples
- 6 samples: 3 × HESCs, siLPCAT3, vs 3 × HESCs, siNC,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.
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 GSE274335_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 PRJNA1145986 and SRA study SRP525088. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 6 samples.
How we read this: 2 replicated groups read from 6 sample titles; they account for 6 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.
- GSM8447585 HESCs, siLPCAT3, rep1 HESCs, siLPCAT3,
- GSM8447586 HESCs, siLPCAT3, rep2 HESCs, siLPCAT3,
- GSM8447587 HESCs, siLPCAT3, rep3 HESCs, siLPCAT3,
- GSM8447588 HESCs, siNC, rep1 HESCs, siNC,
- GSM8447589 HESCs, siNC, rep2 HESCs, siNC,
- GSM8447590 HESCs, siNC, rep3 HESCs, siNC,
- GSE288172 Influence of NIPBL Knockdown-Induced Alterations in Cohesin Loop Extrusion on CTCF Loops, Enhancer-Promoter Connectivity, and PRC Domain Contacts During hESC Differentiation into Pancreatic Lineages 263 samples shares hesc, knockdown
- GSE175617 RNA-Seq Analysis of p53 Knockdown and Knock out Human Cancer cells 36 samples shares knockdown, rna-seq
- GSE271198 RNA-seq analysis for endometrium and serous classification of endometrial cancer 16 samples shares endometrial, rna-seq
- GSE246591 Transcriptomic exploration of decidualizing human endometrial stromal cell dynamics 40 samples shares endometrial, stromal
- GSE323965 Transcriptional signatures indicating RB function may predict response to CDK4/6 inhibition in endometrial cancer [RNA-Seq] 39 samples shares endometrial, rna-seq
- GSE234338 Extracellular vesicles (EVs) secreted by human aneuploid embryos contain a distinct RNA cargo and upregulate MUC1 transcription in decidualised endometrial stromal cells (dESCs) 32 samples shares endometrial, stromal
- GSE265762 Individual RNA-seq for different prostate cancer cells and Lucap145.2 PDX treated by JQ1, AZD5153,ENZ or by FOXA1 and BRD4 gene knockdown 20 samples shares knockdown, rna-seq
- GSE230865 PolyA RNA-seq from Medulloblastoma cells ± EYA2 knockdown 18 samples shares knockdown, rna-seq
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.