Identification of RNAs regulated by ZMAT3 and p53
RNA-seq (gene expression) · human · 10 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
- 10 samples: 3 × ZMAT3-WT vs 3 × ZMAT3-KO vs 2 × siCTRL vs 2 × sip53Groups 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
- p53-induced RNA-binding protein ZMAT3 inhibits transcription of a hexokinase to suppress mitochondrial respiration in human cancer cellseLife · 2026
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 GSE280756_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 PRJNA1180478 and SRA study SRP542330. 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 10 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.
- GSM8605502 siCTRL-1 siCTRL
- GSM8605503 siCTRL-2 siCTRL
- GSM8605504 sip53-1 sip53
- GSM8605505 sip53-2 sip53
- GSM8605506 ZMAT3-WT-1 ZMAT3-WT
- GSM8605507 ZMAT3-WT-2 ZMAT3-WT
- GSM8605508 ZMAT3-WT-3 ZMAT3-WT
- GSM8605509 ZMAT3-KO-1 ZMAT3-KO
- GSM8605510 ZMAT3-KO-2 ZMAT3-KO
- GSM8605511 ZMAT3-KO-3 ZMAT3-KO
- GSE319124 Next-GenerationPediatric Cancer Models: Patient-Matched Orthotopic Xenografts, 3D Organoids, 2D Cultures, and Cell Lines for Identification of Therapeutic Vulnerabilities in Pediatric Solid Tumors [scRNAseq] 59 samples shares rnas
- GSE281106 Single-cell RNA-seq of peripheral blood links cell-type-specific regulation of splicing to autoimmune and inflammatory diseases [scRNAseq_KR_SGI] 352 samples shares rnas
- GSE318225 Development of an Optimized Epigenetic Silencer to Transcriptionally Inactivate Viral DNA in Chronic Hepatitis B [RNAseq] 218 samples shares rnas
- GSE330188 Crnic Institute Human Trisome Project - Tofacitinib for Immune Skin Conditions in Down Syndrome: PolyA RNAseq from whole blood 194 samples shares rnas
- GSE330029 Temporal changes in metabolism guide oligodendrocyte precursor cell dynamics in aging and multiple sclerosis [BulkRNAseq] 108 samples shares rnas
- GSE282517 RNAseq of CD4 T cells from 83 individuals with musculoskeletal compains 83 samples shares rnas
- GSE325047 Pervasive Enhanced Transcription in Inflammatory Breast Cancer Tumors and PBMCs Impacts RNA Splicing and Intronic RNAs in Plasma 80 samples shares rnas
- GSE311877 Genotype-phenotype single-cell transcriptomics for massive parallel assessment of genetic variants [RNAseq_mutants] 80 samples shares rnas
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.