Canonical and isomiR products of miR-142 enhance dendritic cell reprogramming [bulk RNA-seq]
RNA-seq (gene expression) · human · 53 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
- 53 samples: 26 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.
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 GSE324642_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 PRJNA1436482 and SRA study SRP683151. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 52 samples.
How we read this: 26 replicated groups read from 53 sample titles; they account for 52 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.
- GSM9581429 d3_PIB_AG_SCR_SC_1 d3_PIB_AG_SCR_SC
- GSM9581430 d3_PIB_AG_SCR_G_1 d3_PIB_AG_SCR_G
- GSM9581431 d3_PIB_AG_SCR_L_1 d3_PIB_AG_SCR_L
- GSM9581432 d3_SCR_SC_1 d3_SCR_SC
- GSM9581433 d3_SCR_G_1 d3_SCR_G
- GSM9581434 d3_SCR_L_1 d3_SCR_L
- GSM9581435 d3_124_3p_SC_1 d3_124_3p_SC
- GSM9581436 d3_124_3p_G_1 d3_124_3p_G
- GSM9581437 d3_124_3p_L_1 d3_124_3p_L
- GSM9581450 d3_142_mix_SC_1 d3_142_mix_SC
- GSM9581451 d3_142_mix_G_1 d3_142_mix_G
- GSM9581452 d3_142_mix_L_1 d3_142_mix_L
- GSM9581456 d3_GFP_SC_1 d3_GFP_SC
- GSM9581457 d3_GFP_G_1 d3_GFP_G
- GSM9581458 d3_GFP_L_1 d3_GFP_L
- GSM9581459 d6_PIB_AG_SCR_SC_1 d6_PIB_AG_SCR_SC
- GSM9581460 d6_PIB_AG_SCR_G_1 d6_PIB_AG_SCR_G
- GSM9581461 d6_PIB_AG_SCR_L_1 d6_PIB_AG_SCR_L
- GSM9581462 d6_SCR_SC_1 d6_SCR_SC
- GSM9581463 d6_SCR_G_1 d6_SCR_G
- GSM9581464 d6_SCR_L_1 d6_SCR_L
- GSM9581465 d6_124_3p_SC_1
- GSM9581466 d6_124_3p_G_1 d6_124_3p_G
- GSM9581467 d6_124_3p_L_1 d6_124_3p_L
- GSM9581480 d6_142_mix_SC_1 d6_142_mix_SC
- GSM9581481 d6_142_mix_G_1 d6_142_mix_G
- GSM9581482 d6_142_mix_L_1 d6_142_mix_L
- GSM9581485 d3_PIB_AG_SCR_SC_2 d3_PIB_AG_SCR_SC
- GSM9581486 d3_PIB_AG_SCR_G_2 d3_PIB_AG_SCR_G
- GSM9581487 d3_PIB_AG_SCR_L_2 d3_PIB_AG_SCR_L
- GSM9581488 d3_SCR_SC_2 d3_SCR_SC
- GSM9581489 d3_SCR_G_2 d3_SCR_G
- GSM9581490 d3_SCR_L_2 d3_SCR_L
- GSM9581491 d3_124_3p_SC_2 d3_124_3p_SC
- GSM9581492 d3_124_3p_G_2 d3_124_3p_G
- GSM9581493 d3_124_3p_L_2 d3_124_3p_L
- GSM9581506 d3_142_mix_SC_2 d3_142_mix_SC
- GSM9581507 d3_142_mix_G_2 d3_142_mix_G
- GSM9581508 d3_142_mix_L_2 d3_142_mix_L
- GSM9581512 d3_GFP_SC_2 d3_GFP_SC
+ 13 more — browse all 53 samples with per-sample file links →
- GSE269009 RNA-seq of monocyte derived macrophages and dendritic cells in a Peruvian Tuberculosis cohort 227 samples shares dendritic, rna-seq
- GSE232076 In vitro reconstitution of epigenetic reprogramming in the human germ line [RNA-Seq] 89 samples shares reprogramming, rna-seq
- GSE298209 Chemical reprogramming of human blood cells into hCiPS cells [bulk RNA-seq] 62 samples shares reprogramming, rna-seq
- GSE249544 Phenotypical states modulate sensitivity and transcriptional reprogramming in patient-derived glioblastoma cells in response to temozolomide and radiation therapy. [RNA-Seq] 48 samples shares reprogramming, rna-seq
- GSE294272 Tumor-resident T cells and dendritic cells form an in situ archetype for immunotherapy response in melanoma [bulk RNA-seq] 29 samples shares dendritic, rna-seq
- GSE326661 Reprogramming engineered autologous T cells to overcome resistance in Merkel cell carcinoma [scRNA-seq] 22 samples shares reprogramming, rna-seq
- GSE261322 NF-κB- and TET2-mediated macrophage reprogramming overrides the anti-inflammatory effects of hypoxia and improves responses in human cancer (RNA-Seq I). 20 samples shares reprogramming, rna-seq
- GSE298139 Therapy-resistance in AT/RT is driven by epithelial-mesenchymal transition, extracellular matrix changes, and enrichment of CD1A+ CD207+ dendritic cells [snRNA-seq] 16 samples shares dendritic, rna-seq
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.