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Casein kinase 1δ/ε inhibition suppresses CLL through cell-intrinsic and microenvironmental mechanisms [RNA-Seq]

GSE305855 Mus musculus (mouse) RNA-seq (gene expression) 42 samples Submitted 2026/03/31 Platform GPL13112Platform GPL11154
At a glance

RNA-seq (gene expression) · mouse · 42 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
Mus musculus (mouse)
Topic
Chronic lymphocytic leukemiaThis series is part of our curated briefing on it.
Samples
42 samples: 33 distinct titles, 2 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; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Casein kinase 1δ/ε inhibition suppresses CLL proliferation through cell-intrinsic and microenvironmental mechanismsHemaSphere · 2026
Summary (written by the submitters)
Chronic lymphocytic leukemia (CLL) is a consequence of pathological B cell accumulation in blood and lymphoid organs. Due to high refractoriness, CLL is considered incurable which calls for novel therapeutic options. Previously, we showed casein kinase 1δ/ε (CK1δ/ε) inhibition prolonged survival of Eµ-TCL1 mice with CLL-like disease. Herein, we elucidate mechanisms mediating CK1δ/ε inhibition efficacy in CLL suppression.
Read the full summary ↓
Using in vivo Eµ-TCL1 adoptive transfer (AT) model, we showed CK1δ/ε inhibition mediated cell cycle slowdown and CLL cell accumulation at S/G2 interface. This observation was validated using multiple CLL cell lines and EdU/Click-iT reaction applied in vivo. Furthermore, we showed CK1δ/ε inhibition led to T cell decrease in lymph nodes (LN). Using system mimicking LN microenvironment in vitro, we observed CK1δ/ε inhibition triggered downregulation of nuclear factor κ B (NFκB) pathway that acts downstream of T-cell-mediated CD40L:CD40 stimulus, inducing CLL cell proliferation. Finally, we showed CK1δ/ε inhibition counteracted proliferation of CLL cells from wide range of patients, with lower efficacy only in patients bearing TP53 defects.
Published in
Casein kinase 1δ/ε inhibition suppresses CLL proliferation through cell-intrinsic and microenvironmental mechanisms
Mikulova A, Plesingerova H, Chorvatova M et al. · HemaSphere 2026 · PMID 41939248 · doi:10.1002/hem3.70343
This dataset
Open GSE305855 in finder → Find more RNA-seq datasets → Chronic lymphocytic 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 GSE305855_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 PRJNA1308056 and SRA study SRP610042. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41939248) ↗
Study design
33 distinct titles, 2 of them repeated
CLL ×9 M2-10B4 ×2

How we read this: Read from 42 sample titles: 33 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

+ 2 more — browse all 42 samples with per-sample file links →

More Chronic lymphocytic leukemia datasets

Search all 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.