Targeting axonal guidance dependencies in glioblastoma with ROBO1 CAR T cells
RNA-seq (gene expression) · human · 41 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
- GlioblastomaThis series is part of our curated briefing on it.
- Samples
- 41 samples: 41 samples, each with a distinct title — no replicated groupsGroups 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 axonal guidance dependencies in glioblastoma with ROBO1 CAR T cellsNature medicine · 2024
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 GSE240492_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 PRJNA1003899 and SRA study SRP454109. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 41 sample titles: 41 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.
- GSM7697749 BT241.T0 [GBM_1]
- GSM7697750 BT241.T35A [GBM_5]
- GSM7697751 BT241.T35B [GBM_6]
- GSM7697752 BT241.T35C [GBM_7]
- GSM7697753 BT594.T0 [GBM_55]
- GSM7697754 BT594.T85A [GBM_56]
- GSM7697755 BT594.T85B [GBM_57]
- GSM7697756 BT594.T85C [GBM_58]
- GSM7697757 BT972.T0 [GBM_14]
- GSM7697758 BT972.T54A [GBM_27]
- GSM7697759 BT972.T54B [GBM_28]
- GSM7697760 BT972.T54C [GBM_29]
- GSM7698782 BT594 cell line
- GSM7698783 BT972 cell line
- GSM7698784 Moffat_37_BT594_AAVS1_R1
- GSM7698785 Moffat_38_BT594_AAVS1_R2
- GSM7698786 Moffat_39_BT594_AAVS1_R3
- GSM7698787 Moffat_40_BT594_PTP4A2_sgA_R1
- GSM7698788 Moffat_41_BT594_PTP4A2_sgA_R2
- GSM7698789 Moffat_42_BT594_PTP4A2_sgA_R3
- GSM7698790 Moffat_43_BT594_PTP4A2_sgB_R1
- GSM7698791 Moffat_44_BT594_PTP4A2_sgB_R2
- GSM7698792 Moffat_45_BT594_PTP4A2_sgB_R3
- GSM7698793 Moffat_46_BT972_AAVS1_R1
- GSM7698794 Moffat_47_BT972_AAVS1_R2
- GSM7698795 Moffat_48_BT972_AAVS1_R3
- GSM7698796 Moffat_49_BT972_PTP4A2_sgA_R1
- GSM7698797 Moffat_50_BT972_PTP4A2_sgA_R2
- GSM7698798 Moffat_51_BT972_PTP4A2_sgA_R3
- GSM7698799 Moffat_52_BT972_PTP4A2_sgB_R1
- GSM7698800 Moffat_53_BT972_PTP4A2_sgB_R2
- GSM7698801 Moffat_54_BT972_PTP4A2_sgB_R3
- GSM8307406 BT594.T85A.TMZ [GBM_59]
- GSM8307407 BT594.T85B.TMZ [GBM_60]
- GSM8307408 BT594.T85C.TMZ [GBM_61]
- GSM8307409 BT594.T85A.RT [GBM_62]
- GSM8307410 BT594.T85B.RT [GBM_63]
- GSM8307411 BT594.T85C.RT [GBM_64]
- GSM8307412 BT594.T85A.RT-TMZ [GBM_65]
- GSM8307413 BT594.T85B.RT-TMZ [GBM_66]
+ 1 more — browse all 41 samples with per-sample file links →
- GSE107560 Ivy Glioblastoma Atlas Project 305 samples same disease briefing · shares glioblastoma
- GSE13041 Gene expression analysis of glioblastomas identifies the major molecular basis for the prognostic benefit of younger age 267 samples same disease briefing · shares glioblastoma
- GSE112650 SOX4/11 Enhances NGN2 Reprogramming Glioblastoma Cells into Neuron Cells by Modulating RhoA and CDC42/RAC1 Pathway Activity 30 samples same disease briefing · shares glioblastoma
- GSE112648 SOXC factors as suppressors modulate Rho activity to promote neuronal reprogramming of human glioblastoma cells 18 samples same disease briefing · shares glioblastoma
- GSE112645 SOXC factors as suppressors modulate Rho activity to promote neuronal reprogramming of human glioblastoma cells 12 samples same disease briefing · shares glioblastoma
- GSE10878 Integrative Genome-wide Analysis of Glioblastoma. 60 samples same disease briefing · shares glioblastoma
- GSE231555 Splicing and gene expression changes in cell lines treated with splicing switching oligonucleotide targeting TRA2B 46 samples same disease briefing · shares targeting
- GSE115459 Exosome-transmitted RVT1 from reactive astrocytes promotes recurrence glioblastoma proliferation 9 samples same disease briefing · shares glioblastoma
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.