GEO series
Simultaneous orthogonal cell engineering by a single CRISPR-Cas9 polyfunctional editor
GSE293143
Homo sapiens (human)
DNA methylation
84 samples
Submitted 2026/04/03
Platform GPL15520Platform GPL24676
At a glance
DNA methylation · human · 84 samples
- What it is
- DNA methylationChemical marks on DNA that help switch genes on or off.
- Organism
- Homo sapiens (human)
- Samples
- 84 samples: 17 conditions, mostly in duplicateGroups 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.
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
This dataset
Download · which file do I need?
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.
1 · Just have a look
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.
2 · Re-analyse it
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE293143_RAW.tar (it can run to tens of gigabytes).
3 · Start from the raw reads
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: Look for beta-value tables or raw IDAT files among the supplementary files.
Also filed as BioProject PRJNA1242873 and SRA study SRP573677. Searching any of these in the dataset finder brings you back here.
Study design
17 conditions, mostly in duplicate
Mock treated K-562 B2M tdTomato cells, ×6
Mock-treated T cells from Dono ×6
Mock treated T cells from Dono ×4
Tripartite ETR targeting B2M with a full leng… ×3
Tripartite ETR targeting B2M with a 16nt gRNA… ×3
Poly-functional editors treated K-562 B2M tdT… ×3
Tripartite ETR targeting with an unrelated gR… ×2
Tripartite ETR targeting CD3D full-length gRN… ×2
+46 more
Supports a between-group comparison across 47 samples.
How we read this: 17 replicated groups read from 84 sample titles; they account for 47 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.
Samples in this study
- GSM8877258 Mock treated K-562 B2M tdTomato cells, replicate 1 Mock treated K-562 B2M …
- GSM8877259 Tripartite ETR targeting B2M with a full length gRNA treated K-562 B2M tdTomato cells, replicate 1 Tripartite ETR targetin…
- GSM8877260 Tripartite ETR targeting B2M with a 16nt gRNA treated K-562 B2M tdTomato cells, replicate 1 Tripartite ETR targetin…
- GSM8877261 Mock treated K-562 B2M tdTomato cells, replicate 2 Mock treated K-562 B2M …
- GSM8877262 Tripartite ETR targeting B2M with a full length gRNA treated K-562 B2M tdTomato cells, replicate 2 Tripartite ETR targetin…
- GSM8877263 Tripartite ETR targeting B2M with a 16nt gRNA treated K-562 B2M tdTomato cells, replicate2 Tripartite ETR targetin…
- GSM8877264 Mock treated K-562 B2M tdTomato cells, replicate 3 Mock treated K-562 B2M …
- GSM8877265 Tripartite ETR targeting B2M with a full length gRNA treated K-562 B2M tdTomato cells, replicate 3 Tripartite ETR targetin…
- GSM8877266 Tripartite ETR targeting B2M with a 16nt gRNA treated K-562 B2M tdTomato cells, replicate 3 Tripartite ETR targetin…
- GSM8877267 T cells from Donor 1 treated with a poly-functional editor targeting B2M and AAVS1
- GSM8877268 Mock treated T cells from Donor 1 Mock treated T cells fr…
- GSM8877269 T cells from Donor 2 treated with ETRs targeting B2M
- GSM8877270 T cells from Donor 2 treated with a tripartite ETR targeting B2M
- GSM8877271 T cells from Donor 2 treated with a poly-functional editor targeting B2M and AAVS1
- GSM8877272 Mock treated T cells from Donor 2 Mock treated T cells fr…
- GSM8877273 T cells from Donor 3 treated with ETRs targeting B2M
- GSM8877274 T cells from Donor 3 treated with a tripartite ETR targeting B2M
- GSM8877275 Mock treated T cells from Donor 3 Mock treated T cells fr…
- GSM8877276 T cells from Donor 4 treated with ETRs targeting TET2
- GSM8877277 Mock treated T cells from Donor 4 Mock treated T cells fr…
- GSM8877278 Mock treated K-562 B2M tdTomato cells, replicate 1 Mock treated K-562 B2M …
- GSM8877279 Poly-functional editors treated K-562 B2M tdTomato cells, replicate 1 Poly-functional editors…
- GSM8877280 Mock treated K-562 B2M tdTomato cells, replicate 2 Mock treated K-562 B2M …
- GSM8877281 Poly-functional editors treated K-562 B2M tdTomato cells, replicate 2 Poly-functional editors…
- GSM8877282 Mock treated K-562 B2M tdTomato cells, replicate 3 Mock treated K-562 B2M …
- GSM8877283 Poly-functional editors treated K-562 B2M tdTomato cells, replicate 3 Poly-functional editors…
- GSM9511017 Tripartite ETR targeting with an unrelated gRNA treated T cells, replicate 1 Tripartite ETR targetin…
- GSM9511018 Tripartite ETR targeting with an unrelated gRNA treated T cells, replicate 2 Tripartite ETR targetin…
- GSM9511019 Tripartite ETR targeting CD3D full-length gRNAs treated T cells, replicate 1 Tripartite ETR targetin…
- GSM9511020 Tripartite ETR targeting CD3D full-length gRNAs treated T cells, replicate 2 Tripartite ETR targetin…
- GSM9511021 Tripartite ETR targeting CD3 with a truncated gRNA treated T cells, replicate 1 Tripartite ETR targetin…
- GSM9511022 Tripartite ETR targeting CD3 with a truncated gRNA treated T cells, replicate 2 Tripartite ETR targetin…
- GSM9511029 Tripartite ETR targeting with an unrelated gRNA treated T cells, replicate 1.
- GSM9511030 Tripartite ETR targeting with an unrelated gRNA treated T cells, replicate 2.
- GSM9511031 Tripartite ETR targeting B2M with a full-length gRNA treated T cells, replicate 1 Tripartite ETR targetin…
- GSM9511032 Tripartite ETR targeting B2M with a full-length gRNA treated T cells, replicate 2 Tripartite ETR targetin…
- GSM9511033 Tripartite ETR targeting B2M with a truncated gRNA treated T cells, replicate1 Tripartite ETR targetin…
- GSM9511034 Tripartite ETR targeting B2M with a truncated gRNA treated T cells, replicate2 Tripartite ETR targetin…
- GSM9511035 Tripartite ETR targeting TET2 with a full-length gRNA treated T cells, replicate 1 Tripartite ETR targetin…
- GSM9511036 Tripartite ETR targeting TET2 with a full-length gRNA treated T cells, replicate 2 Tripartite ETR targetin…
+ 44 more — browse all 84 samples with per-sample file links →
Datasets on a similar topic
- GSE319117 Simultaneous orthogonal cell engineering by a single CRISPR-Cas9 polyfunctional editor [RNA-seq T-cells B2M/TET2/TGFBR2] 14 samples shares polyfunctional, simultaneous, engineering, crispr-cas9, orthogonal, editor
- GSE293141 Simultaneous orthogonal cell engineering by a single CRISPR-Cas9 polyfunctional editor [RNA-seq K562] 9 samples shares polyfunctional, simultaneous, engineering, crispr-cas9, orthogonal, editor
- GSE231507 Impact of azide metabolic glycoengineering and bioorthogonal click chemistry cell-cell tethering in adipose tissue-derived mesenchymal stromal cells 15 samples shares engineering, orthogonal
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- GSE283896 A single-cell multiomics approach for simultaneous analysis of replication timing and gene expression 96 samples shares simultaneous
- GSE286521 scDUAL-seq Simultaneously Measures RNA Synthesis and Degradation Rates in Single Cells 24 samples shares simultaneous
- GSE288996 Simultaneous single cell CRISPR, RNA, and ATAC-seq enables multiomic CRISPR screens to identify gene regulatory relationships 15 samples shares simultaneous
- GSE100866 CITE-seq: Large scale simultaneous measuremnt of epitopes and transcriptomes in single cells 12 samples shares simultaneous
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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.