Proteomic and transcriptomic profiling identifies TIPRL as a potential target in multiple myeloma with 1q gain
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
Read the full summary ↓
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 GSE315888_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 PRJNA1399724 and SRA study SRP660597. Searching any of these in the dataset finder brings you back here.
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.
- GSM9439305 Patient BM002019: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439306 Patient BM003658: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439307 Patient BM008204: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439308 Patient BM008219: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439309 Patient BM008487: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439310 Patient BM008518: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439311 Patient BM030784: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439312 Patient BM036560: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439313 Patient BM043138: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439314 Patient BM044056: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439315 Patient BM045892: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439316 Patient BM049537: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439317 Patient BM050038: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439318 Patient BM050446: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439319 Patient BM051002: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439320 Patient BM051757: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439321 Patient BM052522: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439322 Patient BM053063: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439323 Patient BM053512: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439324 Patient BM053621: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439325 Patient BM054653: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439326 Patient BM054835: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439327 Patient BM054891: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439328 Patient BM059241: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439329 Patient BM060113: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439330 Patient BM060196: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439331 Patient BM060207: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439332 Patient BM060477: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439333 Patient BM061466: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439334 Patient BM061529: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439335 Patient BM062008: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439336 Patient BM063008: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439337 Patient BM063110: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSM9439338 Patient BM063215: Proteomic and transcriptomic profiling identifies TIPRL as a potential target in MM with 1q gain Proteomic and transcrip…
- GSE161195 Single cell RNA-seq of relapsed and refractory multiple myeloma patients defines new resistance pathways and targeted treatments 213 samples same disease briefing · shares multiple, myeloma, target
- GSE148715 “Direct to Drug” screening as a precision medicine tool in multiple myeloma 38 samples same disease briefing · shares multiple, myeloma
- GSE167968 RNA-seq of Multiple Myeloma 33 samples same disease briefing · shares multiple, myeloma
- GSE179453 Expression data from control-knockdown (CTR-KD) and MAST4-KD human multiple myeloma (MM) cell lines 6 samples same disease briefing · shares multiple, myeloma
- GSE178442 Genome-wide maps of transcription in DEAF1 overexpression(OE) and wildtype(WT) cells in Multiple Myeloma 4 samples same disease briefing · shares multiple, myeloma
- GSE155631 Oncogenic mechanisms of DIS3 mutations in Multiple Myeloma 62 samples same disease briefing · shares multiple, myeloma
- GSE167969 ATAC-seq and RNA-Seq of Multiple Myeloma 46 samples same disease briefing · shares multiple, myeloma
- GSE167042 Splicing modulation increases BCL2 dependence and sensitizes Multiple Myeloma cells to Venetoclax 4 samples same disease briefing · shares multiple, myeloma
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.