Lycorine attenuated proliferation and induced apoptosis on imatinib-resistant K562 cell by inhibiting autophagy.
RNA-seq (gene expression) · human · 12 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)
- Topic
- Chronic myeloid leukemiaThis series is part of our curated briefing on it.
- Samples
- 12 samples: 3 × G1 vs 3 × G3 vs 3 × G4 vs 3 × G2Groups 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
- Lycorine attenuated proliferation and induced apoptosis on imatinib-resistant K562 cell by inhibiting autophagyDiscover oncology · 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 GSE267522_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 PRJNA1111773 and SRA study SRP507782. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8268138 G1_1 G1
- GSM8268139 G1_2 G1
- GSM8268140 G1_3 G1
- GSM8268141 G3_1 G3
- GSM8268142 G3_2 G3
- GSM8268143 G3_3 G3
- GSM8268144 G4_1 G4
- GSM8268145 G4_2 G4
- GSM8268146 G4_3 G4
- GSM8268147 G2_1 G2
- GSM8268148 G2_2 G2
- GSM8268149 G2_3 G2
- GSE314129 Transcriptomics of K562/S and K562/R, KU812/S and KU812/R of imatinib resistant cell using RNA-sequencing. 8 samples same disease briefing · shares k562
- GSE263645 Whole transcriptome sequencing for wild type and IRAIN over-expression K562 cells 6 samples same disease briefing · shares k562
- GSE282987 Effect of depletion of METTL3 or METTL14 on gene expression in human K562 cell line, a model of chronic myeloid leukemia in the acute myeloid blast phase 6 samples same disease briefing · shares k562
- GSE235463 Effect of knockdown PHF8 on the transcriptional regulation of BCR-ABL1 fusion gene on CML cell line K562 4 samples same disease briefing · shares k562
- GSE314200 Transcriptomics of PLAG1 VC and KD in K562 imatinib resistant cell using RNA-sequencing. 4 samples same disease briefing · shares k562
- GSE318329 RNA-Seq quantitative analysis of the regulation of imatinib-resistant cell-derived exosomes on CML cell transcriptomes 4 samples same disease briefing · shares imatinib-resistant
- GSE303378 Transcriptomic profiling of bone marrow cells from CML mouse models and newly diagnosed patients treated with SOS1 inhibitor BI-3406 and/or imatinib 48 samples same disease briefing
- GSE267912 CDK6 kinase inhibition opens up metabolic dependencies in BCR-ABL+ leukemia 45 samples same disease briefing
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.