Targeting Immune-Fibroblast Crosstalk in Myocardial Infarction and Cardiac Fibrosis II
RNA-seq (gene expression) · human · 21 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
- 21 samples: 18 distinct titles, 3 of them repeatedGroups 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
- Targeting immune-fibroblast cell communication in heart failureNature · 2024
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 GSE218391_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 PRJNA903479 and SRA study SRP408806. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 21 sample titles: 18 distinct titles with little repetition. 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.
- GSM6744140 iHCF_72h_Control_lot1
- GSM6744141 iHCF_72h_Control_lot2
- GSM6744142 iHCF_72h_TGFb_lot1
- GSM6744143 iHCF_72h_TGFb_lot2
- GSM6744144 iHCF_72h_IL1b_lot1
- GSM6744145 iHCF_72h_IL1b_lot2
- GSM6744146 NHCF_72h_Control
- GSM6744147 NHCF_72h_TGFb
- GSM6744148 NHCF_72h_IL1b
- GSM6744149 NHDF_72h_Control
- GSM6744150 NHDF_72h_TGFb
- GSM6744151 NHDF_72h_IL1b
- GSM6744152 CMO_iHCF_72h_Control_lot1
- GSM6744153 CMO_iHCF_72h_TGFb_lot1
- GSM6744154 CMO_iHCF_72h_IL1b_lot1
- GSM6744155 CMO_NHCF_72h_Control
- GSM6744156 CMO_NHCF_72h_TGFb
- GSM6744157 CMO_NHCF_72h_IL1b
- GSM6744158 CMO_NHDF_72h_Control
- GSM6744159 CMO_NHDF_72h_TGFb
- GSM6744160 CMO_NHDF_72h_IL1b
- GSE217494 Targeting Immune-Fibroblast Crosstalk in Myocardial Infarction and Cardiac Fibrosis I 44 samples shares immune-fibroblast, myocardial, infarction, targeting, crosstalk, fibrosis, cardiac
- GSE272178 The Myocardial Infarction Platelet Transcriptome 91 samples shares myocardial, infarction
- GSE313527 Plasma Extracellular Vesicle Modulate Immune Cell Transcriptional Responses Following Acute Myocardial Infarction 74 samples shares myocardial, infarction
- GSE310479 Targeting Fused in Sarcoma (FUS): A Novel Antisense Strategy for Treating Idiopathic Pulmonary Fibrosis 38 samples shares targeting, fibrosis
- GSE310473 Targeting Fused in Sarcoma (FUS): A Novel Antisense Strategy for Treating Idiopathic Pulmonary Fibrosis [RNA-Seq IPF] 16 samples shares targeting, fibrosis
- GSE249812 Dynamic molecular signatures of acute myocardial infarction based on transcriptomics 15 samples shares myocardial, infarction
- GSE269269 Single-Cell RNA Sequencing of Peripheral Blood Mononuclear Cells From Acute Myocardial Infarction 10 samples shares myocardial, infarction
- GSE294627 Modeling myocardial physiological growth using human pluripotent stem cell derived cardiomyocytes and 3D cardiac microtissues 10 samples shares myocardial, cardiac
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.