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C1QBP expression and function in acute myeloid leukaemia.

GSE335296 Homo sapiens (human) RNA-seq (gene expression) 298 samples Submitted 2026/06/14 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 298 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
Acute myeloid leukemiaThis series is part of our curated briefing on it.
Samples
298 samples: 248 × AML vs 50 × DonoGroups 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.
Summary (written by the submitters)
Acute myeloid leukemia (AML) is a lethal hematological malignancy that originates from unlimited proliferation of immature progenitors characterized by medullary and extramedullary invasion, with a 5-year overall survival (OS) rate of <30% with chemotherapy.
Read the full summary ↓
Infiltration of bone marrow (BM) malignant leukemia cells into tissues other than the BM to form an extramedullary mass, referred to as extramedullary infiltration (EMI), is a common concomitant symptom of AML, with an incidence at initial diagnosis ranging from 2.5% to 30.5%,4-10 to even 65% if diagnosed by positron emission tomography/ computed tomography. Our privios study have identified the most featured macrophage-like C1Q+ population associated with EMI and adverse outcome and confirmed its unique function in migration. Here, we want to know the expression and function of C1QBP as the surface globular C1Q receptor in patients with AML who experience EMI.
This dataset
Open GSE335296 in finder → Find more human RNA-seq datasets → Acute myeloid leukemia landscape →
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.

Series matrix ↓
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 GSE335296_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1477867. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
248 × AML vs 50 × Dono

Supports a between-group comparison across 298 samples.

How we read this: 2 replicated groups read from 298 sample titles; they account for 298 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

+ 258 more — browse all 298 samples with per-sample file links →

More Acute myeloid leukemia datasets

Search all human RNA-seq datasets in GEO →

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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.