A MIR17HG-derived Long Noncoding RNA Provides an Essential Chromatin Scaffold for Protein Interaction and Myeloma Growth
Expression microarray · human · 12 samples
- What it is
- Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
- Organism
- Homo sapiens (human)
- Topic
- Multiple myelomaThis series is part of our curated briefing on it.
- Samples
- 12 samples: 2 × 20210819_AMO1_DR-KO_d1_ASO1 vs 2 × 20210819_AMO1_DR-KO_d1_NC vs 2 × H929 D1 Treated vs 2 × H929 D1 UntreatedGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed expression table (series matrix) and the array files, from NCBI.
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 GSE208599_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 arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.
Also filed as BioProject PRJNA860192 and SRA study SRP387134. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 8 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 8 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.
- GSM6355370 20210819_AMO1_DR-KO_d1_ASO1-2 20210819_AMO1_DR-KO_d1_…
- GSM6355371 20210819_AMO1_DR-KO_d1_ASO1-1 20210819_AMO1_DR-KO_d1_…
- GSM6355372 20210819_AMO1_DR-KO_d1_NC-2 20210819_AMO1_DR-KO_d1_…
- GSM6355373 20210819_AMO1_DR-KO_d1_NC-1 20210819_AMO1_DR-KO_d1_…
- GSM6355374 3_AMO1 D1 Treated
- GSM6355375 4_AMO1 D1 Treated
- GSM6355376 1_AMO1 D1 Untreated
- GSM6355377 2_AMO1 D1 Untreated
- GSM6355378 H929 D1 Treated H929 D1 Treated
- GSM6355379 H929 D1 Treated_2 H929 D1 Treated
- GSM6355380 H929 D1 Untreated_2 H929 D1 Untreated
- GSM6355381 H929 D1 Untreated H929 D1 Untreated
- GSE178328 Genome-wide maps of chromatin state in DEAF1 overexpression (OE in Multiple Myeloma) 2 samples same disease briefing · shares chromatin
- GSE161195 Single cell RNA-seq of relapsed and refractory multiple myeloma patients defines new resistance pathways and targeted treatments 213 samples same disease briefing
- GSE155631 Oncogenic mechanisms of DIS3 mutations in Multiple Myeloma 62 samples same disease briefing
- GSE167969 ATAC-seq and RNA-Seq of Multiple Myeloma 46 samples same disease briefing
- GSE148715 “Direct to Drug” screening as a precision medicine tool in multiple myeloma 38 samples same disease briefing
- GSE167968 RNA-seq of Multiple Myeloma 33 samples same disease briefing
- GSE179453 Expression data from control-knockdown (CTR-KD) and MAST4-KD human multiple myeloma (MM) cell lines 6 samples same disease briefing
- GSE167042 Splicing modulation increases BCL2 dependence and sensitizes Multiple Myeloma cells to Venetoclax 4 samples same disease briefing
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.