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Proteomic and transcriptomic profiling identifies TIPRL as a potential target in multiple myeloma with 1q gain

GSE315888 Homo sapiens (human) RNA-seq (gene expression) 34 samples Submitted 2026/06/24 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 34 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
Multiple myelomaThis series is part of our curated briefing on it.
Samples
34 samples: 34 × Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gainGroups 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
Proteomic profiling revealed unique disease biology associated with 1q abnormalities in multiple myelomaNPJ precision oncology · 2026
Summary (written by the submitters)
Amplification or gain of chromosome 1q (+1q) is a common genomic alteration occurring in the plasma cells in nearly 40% of multiple myeloma patients. Although it is associated with inferior outcomes and is more common in the relapsed or refractory advanced disease stages, the impact of +1q at the proteomic level remains unclear. Here, we studied enriched CD138+ bone marrow plasma cells in newly diagnosed multiple myeloma to uncover molecular alterations associated with +1q.
Read the full summary ↓
Differential expression analysis revealed significantly increased expression of several proteins encoded by 1q region indicating potential gene dosage effect. Pathway enrichment analysis identified enrichment of cell cycle proteins. Further, protein-protein interaction network analysis showed enrichment of MYC transcriptional targets in +1q cases, including increased expression of TIPRL (located on 1q23). In agreement with these findings, increased TIPRL transcript expression was correlated with +1q across different cytogenetic subgroups in the CoMMPass dataset. High TIPRL protein expression was associated with poor prognosis in patients from the hyperdiploidy subgroup. Overall, this study highlights the role of proteomics in understanding molecular events associated with chromosomal alterations in MM and identifying potential targets for further functional analysis.
Published in
Proteomic profiling revealed unique disease biology associated with 1q abnormalities in multiple myeloma
Mangalaparthi KK, Hsu JS, Wiedmeier-Nutor JE et al. · NPJ precision oncology 2026 · PMID 41981199 · doi:10.1038/s41698-026-01364-7
This dataset
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.

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 GSE315888_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1399724 and SRA study SRP660597. Searching any of these in the dataset finder brings you back here.

Study design
34 × Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain

Supports a between-group comparison across 34 samples.

How we read this: 1 replicated groups read from 34 sample titles; they account for 34 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
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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.