RAS Pathway–Mutated Chronic Myelomonocytic Leukemia at the Single Cell Level
Single-cell RNA-seq · human · 47 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 47 samples: 5 conditions, mostly with about 4 replicates eachGroups 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
- Targeting MCL1-driven anti-apoptotic pathways overcomes blast progression after hypomethylating agent failure in chronic myelomonocytic leukemiaCell reports. Medicine · 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 GSE218390_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA903476 and SRA study SRP408802. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 41 samples.
How we read this: 5 replicated groups read from 47 sample titles; they account for 41 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.
- GSM6744114 BM Sample 10 BM Sample
- GSM6744115 BM Sample 11 BM Sample
- GSM6744116 BM Sample 12 BM Sample
- GSM6744117 BM Sample 1 BM Sample
- GSM6744118 BM Sample 2 BM Sample
- GSM6744119 BM Sample 3 BM Sample
- GSM6744120 BM Sample 4 BM Sample
- GSM6744121 BM Sample 5 BM Sample
- GSM6744122 BM Sample 6 BM Sample
- GSM6744123 BM Sample 7 BM Sample
- GSM6744124 BM Sample 8 BM Sample
- GSM6744125 BM Sample 9 BM Sample
- GSM6744126 BM Sample 13 BM Sample
- GSM6744127 BM Sample 14 BM Sample
- GSM6744128 CD34 Sample 1 CD34 Sample
- GSM6744129 CD34 Sample 10 CD34 Sample
- GSM6744130 CD34 Sample 11 CD34 Sample
- GSM6744131 CD34 Sample 12 CD34 Sample
- GSM6744132 CD34 Sample 2 CD34 Sample
- GSM6744133 CD34 Sample 3 CD34 Sample
- GSM6744134 CD34 Sample 4 CD34 Sample
- GSM6744135 CD34 Sample 5 CD34 Sample
- GSM6744136 CD34 Sample 6 CD34 Sample
- GSM6744137 CD34 Sample 9 CD34 Sample
- GSM6744138 Sample 3-ATACseq
- GSM6744139 Sample 4-ATACseq
- GSM7912381 BM Sample 15 BM Sample
- GSM7912382 BM Sample 19 BM Sample
- GSM7912383 BM Sample 16 BM Sample
- GSM7912384 BM Sample 18 BM Sample
- GSM7912385 BM Sample 20 BM Sample
- GSM7912386 BM Sample 17 BM Sample
- GSM7912387 Sample 24-ATACseq
- GSM7912388 Sample 23-ATACseq
- GSM7912389 Sample 22-ATACseq
- GSM7912390 Sample 21-ATACseq
- GSM8219796 BM HD 1 BM HD
- GSM8219797 BM HD 2 BM HD
- GSM8219798 BM HD 3 BM HD
- GSM8239439 Sample 3–DAbseq (DAb-seq: DNA) DNA)
+ 7 more — browse all 47 samples with per-sample file links →
- GSE281506 Combining Menin and MEK inhibition to target poor prognosis KMT2A-rearranged RAS pathway-mutant acute myeloid leukemia 42 samples shares ras, leukemia
- GSE227548 Gene expression data at the single cell level of human hamstring, deltoid, supraspinatus muscle; as well as, cultured human muscle fibroadipogenic cells (FAPs) 17 samples shares ras, level
- GSE261917 The Follicular Lymphoma and Chronic Lymphocytic Leukemia Proliferative Microenvironment at Single-Cell Resolution 14 samples shares leukemia, chronic
- GSE324062 RAS pathway activation drives clonal selection and monocytic differentiation in FLT3 and BCL2 inhibitor resistance 61 samples shares ras
- GSE220870 METTL3 Promotes Histone H3K9 Acetylation through Recruitment of Histone Acetyltransferase 1 to Chromatin 43 samples shares ras
- GSE287535 FeaSion Decodes the Regulatory Landscape and Functional Diversity of RNA Polymerase II CTD Phosphorylation 225 samples shares ras
- GSE245969 EP300/CREBBP acetyltransferase inhibition limits steroid receptor and FOXA1 signaling in prostate cancer cells 122 samples shares ras
- GSE218269 CDK7 kinase activity promotes RNA polymerase II promoter escape by facilitating initiation factor release 100 samples shares ras
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.