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SETD2 Mutations Do Not Contribute to Clonal Fitness in Response to Chemotherapy in Childhood B Acute Lymphoblastic Leukemia (WES)

GSE231723 Homo sapiens (human) Other 12 samples Submitted 2024/05/01 Platform GPL24676
At a glance

human · 12 samples

Organism
Homo sapiens (human)
Samples
12 samples: 10 distinct titles, 1 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.
Paper
SETD2 mutations do not contribute to clonal fitness in response to chemotherapy in childhood B cell acute lymphoblastic leukemiaLeukemia & lymphoma · 2024
Summary (written by the submitters)
To investigate the impact of SETD2 mutations on clonal fitness in B actue lymphoblastic leukemia we generated cells lines with SETD KO using CRISPR/Cas9 system. We then performed phenotypic based assays as well as gene expression profiling, mutation burden, and chromtain accessibilty analysis using data obtained from RNA-seq, Whole exom sequencing following drug traetment, and ATAC-seq.
Published in
SETD2 mutations do not contribute to clonal fitness in response to chemotherapy in childhood B cell acute lymphoblastic leukemia
Contreras Yametti GP, Robbins G, Chowdhury A et al. · Leukemia & lymphoma 2024 · PMID 37874744 · doi:10.1080/10428194.2023.2273752
This dataset
Download · which file do I need?

Direct links to NCBI, 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.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE231723_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Also filed as BioProject PRJNA967354. Searching any of these in the dataset finder brings you back here.

Study design
10 distinct titles, 1 of them repeated
KOPN cells, sgRNA SETD2 clone BA, single cell… ×3

How we read this: Read from 12 sample titles: 10 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.

Samples in this study
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