Transcriptome-wide profiles and ac4c modification profile in RA FLS with NAT10 knockdown
RNA-seq (gene expression) · human · 18 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
- 18 samples: 18 samples, each with a distinct title — no replicated groupsGroups 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 GSE248476_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 PRJNA1044097 and SRA study SRP473739. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 18 sample titles: 18 distinct titles with little repetition. 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.
- GSM7915356 RA1 control
- GSM7915357 RA1 shNAT10
- GSM7915358 RA7 control
- GSM7915359 RA7 shNAT10
- GSM7915360 RA9 control
- GSM7915361 RA9 shNAT10
- GSM7915362 RA1 control input
- GSM7915363 RA1 control ip
- GSM7915364 RA1 shNAT10 input
- GSM7915365 RA1 shNAT10 ip
- GSM7915366 RA7 control input
- GSM7915367 RA7 control ip
- GSM7915368 RA7 shNAT10 input
- GSM7915369 RA7 shNAT10 ip
- GSM7915370 RA9 control input
- GSM7915371 RA9 control ip
- GSM7915372 RA9 shNAT10 input
- GSM7915373 RA9 shNAT10 ip
- GSE248474 Transcriptome-wide profiles in RA FLS with NAT10 knockdown 6 samples shares nat10, fls, transcriptome-wide, knockdown, profiles
- GSE225052 NAT10-mediated ac4C modification promotes neuroectoderm specification of human embryonic stem cells via acetylating NR2F1 mRNA to enhance translation efficiency 24 samples shares nat10, ac4c, modification
- GSE225051 NAT10-mediated ac4C modification promotes neuroectoderm specification of human embryonic stem cells via acetylating NR2F1 mRNA to enhance translation efficiency [Ribo-seq] 6 samples shares nat10, ac4c, modification
- GSE225050 NAT10-mediated ac4C modification promotes neuroectoderm specification of human embryonic stem cells via acetylating NR2F1 mRNA to enhance translation efficiency [RNA-seq] 6 samples shares nat10, ac4c, modification
- GSE314697 NAT10 drives head and neck squamous cell carcinoma proliferation via ac4C modification of DDIT4 mRNA 4 samples shares nat10, ac4c, modification
- GSE246506 NAT10-mediated mRNA N4-acetylcitidine (ac4C) Promotes Stemness and Leukemogenesis in Acute Myeloid Leukemia 26 samples shares nat10, ac4c
- GSE180494 ac4C RIP-seq analysis of AGS cells upon NAT10 knockout. 8 samples shares nat10, ac4c
- GSE307601 NAT10-Dependent N4-acetylcytidine (ac4C) on R-loops Drive Glioblastoma Tumorigenesis and Stemness 38 samples shares nat10, ac4c
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.