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Isolation of biologically active small peptide from KSHV LANA protein sequence, which induces CHD4 degradation to promote cell differentiation and inhibits leukemic cell growth (SLAM-seq)

GSE228656 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2024/03/01 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 18 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)
Samples
18 samples: 9 conditions, mostly in duplicateGroups 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)
Kaposi's sarcoma-associated herpesvirus (KSHV) establishes a latent infection, in which most viral genes are silenced except a few latent proteins such as latency-associated nuclear antigen (LANA). In latent viral chromatin, viral genes are poised to be transcribed, and KSHV LANA plays a major role in maintaining such transcription status.
Read the full summary ↓
In the poised chromatins, LANA recruits cellular CHD4 (Chromodomain Helicase DNA binding protein 4) and suppresses inducible viral gene promoters. The CHD4 is known to regulate cell differentiation by restricting enhancer-promoter interactions and its mutation or overexpression deregulates the host cell transcription program and therefore associates with tumorigenesis. Here, we identified a putative CHD4 inhibitor from the LANA amino acid sequence from the LANA-CHD4 interaction surface. The small peptide interacts with CHD4 at its PHD domain with 14 nM KD (dissociation constant). The introduction of the peptide into the primary effusion lymphomas induces caspase-mediated CHD4 cleavage and subsequently triggered cell apoptosis and autophagy. A series of MTT assays demonstrated that the peptide preferentially killed lymphoma and leukemia cell lines at low micromolar concentrations, while peripheral mononuclear cells or adhesion cell lines were found to be more resistant to the peptide treatment. A monocyte cell differentiation model demonstrated that pre-treatment with the peptide at a low dose substantially enhanced transitioning into M2 macrophage (by reducing CHD4 occupancies from gene promoters), and globally altered the repertories of phorbol myristate acetate target genes in U937 cells. Finally, the PEL xenograft mouse model inhibited tumor growth without measurable side effects, and PEL cells isolated from xenograft tumors showed reduced CHD4 and LANA expression with terminally differentiated phenotype. We propose that the peptide isolated from the KSHV LANA sequence is biologically active and may function as a CHD4 inhibitor.
This dataset
Open GSE228656 in finder → Find more human RNA-seq datasets →
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 GSE228656_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 PRJNA950961 and SRA study SRP430335. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
9 conditions, mostly in duplicate
BC3_Ctrl ×2 BC3_Wt ×2 BC3_Mut ×2 BCBL1_Ctrl ×2 BCBL1_Wt ×2 BCBL1_Mut ×2 Raji_Ctrl ×2 Raji_Wt ×2 +1 more

Supports a between-group comparison across 18 samples.

How we read this: 9 replicated groups read from 18 sample titles; they account for 18 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
Datasets on a similar topic

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