Pateamine A mediates RNA sequence-selective translation repression by anchoring eIF4A and DDX3 to GNG motifs
RNA-seq (gene expression) · human · 36 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
- 36 samples: 30 distinct titles, 6 of them repeatedGroups 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
- DMDA-PatA mediates RNA sequence-selective translation repression by anchoring eIF4A and DDX3 to GNG motifsNature communications · 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 GSE243312_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 PRJNA1017801 and SRA study SRP460734. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 36 sample titles: 30 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.
- GSM7783169 ribosome profiling, 0.1 % DMSO, 30 min, rep1
- GSM7783170 ribosome profiling, 0.1 % DMSO, 30 min, rep2
- GSM7783171 ribosome profiling, 0.01 μM DMDA-PatA, 30 min
- GSM7783172 ribosome profiling, 0.1 μM DMDA-PatA, 30 min
- GSM7783173 ribosome profiling, 1 μM San, 30 min
- GSM7783174 ribosome profiling, 20 μM SAN, 30 min
- GSM7783175 ribosome profiling, 0.1 % DMSO, 15 min, rep1
- GSM7783176 ribosome profiling, 0.1 % DMSO, 15 min, rep2
- GSM7783177 ribosome profiling, 0.1 μM Hipp, 15 min
- GSM7783178 ribosome profiling, 1 μM Hipp, 15 min
- GSM7783179 RNA pulldown-Seq, 0.1 % DMSO, 30 min, rep1
- GSM7783180 RNA pulldown-Seq, 0.1 % DMSO, 30 min, rep2
- GSM7783181 RNA pulldown-Seq, 0.01 μM DMDA-PatA, 30 min
- GSM7783182 RNA pulldown-Seq, 0.1 μM DMDA-PatA, 30 min
- GSM7783183 RNA Bind-n-Seq, Input AMPPNP
- GSM7783184 RNA Bind-n-Seq, 0.1 % DMSO, 4.5 pmol eIF4A1, AMP-PNP
- GSM7783185 RNA Bind-n-Seq, 0.1 % DMSO, 15 pmol eIF4A1, AMP-PNP
- GSM7783186 RNA Bind-n-Seq, 0.1 % DMSO, 45 pmol eIF4A1, AMP-PNP
- GSM7783187 RNA Bind-n-Seq, 0.1 % DMSO, 90 pmol eIF4A1, AMP-PNP
- GSM7783188 RNA Bind-n-Seq, 3 μM RocA, 4.5 pmol eIF4A1, AMP-PNP
- GSM7783189 RNA Bind-n-Seq, 3 μM RocA, 15 pmol eIF4A1, AMP-PNP
- GSM7783190 RNA Bind-n-Seq, 3 μM RocA, 45 pmol eIF4A1, AMP-PNP
- GSM7783191 RNA Bind-n-Seq, 3 μM RocA, 90 pmol eIF4A1, AMP-PNP
- GSM7783192 RNA Bind-n-Seq, 3 μM DMDA-PatA, 4.5 pmol eIF4A1, AMP-PNP
- GSM7783193 RNA Bind-n-Seq, 3 μM DMDA-PatA, 15 pmol eIF4A1, AMP-PNP
- GSM7783194 RNA Bind-n-Seq, 3 μM DMDA-PatA, 45 pmol eIF4A1, AMP-PNP
- GSM7783195 RNA Bind-n-Seq, 3 μM DMDA-PatA, 90 pmol eIF4A1, AMP-PNP
- GSM7783196 RNA Bind-n-Seq, Input ADP
- GSM7783197 RNA Bind-n-Seq, 3 μM DMDA-PatA, 90 pmol eIF4A1, ADP+Pi
- GSM7783198 RNA Bind-n-Seq, 3 μM DMDA-PatA, 90 pmol DDX3X (helicase core), ADP+Pi
- GSM7783199 RNA Bind-n-Seq, Input, rep1
- GSM7783200 RNA Bind-n-Seq, Input, rep2
- GSM7783201 RNA Bind-n-Seq, 3 μM iPr-DMDA-PatA, 90 pmol eIF4A1, ADP+Pi, rep1
- GSM7783202 RNA Bind-n-Seq, 3 μM iPr-DMDA-PatA, 90 pmol eIF4A1, ADP+Pi, rep2
- GSM7783203 RNA Bind-n-Seq, 3 μM iPr-DMDA-PatA, 90 pmol DDX3X (helicase core), ADP+Pi, rep1
- GSM7783204 RNA Bind-n-Seq, 3 μM iPr-DMDA-PatA, 90 pmol DDX3X (helicase core), ADP+Pi, rep2
No close match found for this topic, so these are simply the most-viewed datasets of the same kind.
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- GSE272887 In vivo double knockout CAR-T screen identifies synergistic gene pairs that enhance anti-tumor immunity. 67 samples
- GSE236530 Enzyme-mediated methylation and alkynylation enables transcriptome-wide identification of pseudouridine modifications 50 samples
- GSE71962 Urinary miRNA biomarkers for early detection of pancreatic adenocarcinoma (PDAC) 29 samples
- GSE125179 microRNA modulated networks of adaptive and innate immune response in pancreatic ductal adenocarcinoma 28 samples
- GSE73691 Screening and validation of lncRNAs and circRNAs as miRNA sponges 23 samples
- GSE79383 A microfluidics-based in vitro model of the gastrointestinal human-microbe interface 18 samples
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.