CCL2-mediated Endothelial Injury Drives Cardiac Dysfunction in Long COVID
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 22 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Homo sapiens (human)
- Samples
- 22 samples: 8 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.
- Paper
- CCL2-mediated endothelial injury drives cardiac dysfunction in long COVIDNature cardiovascular research · 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 GSE227282_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA944559 and SRA study SRP475207. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 20 samples.
How we read this: 8 replicated groups read from 22 sample titles; they account for 20 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.
- GSM7093231 CM_minus_noCOVID_r1 CM_minus_noCOVID
- GSM7093232 CM_minus_noCOVID_r2 CM_minus_noCOVID
- GSM7093233 CM_plus_COVID_r1 CM_plus_COVID
- GSM7093234 CM_plus_COVID_r2 CM_plus_COVID
- GSM7093235 CM_EC_minus_noCOVID_r1 CM_EC_minus_noCOVID
- GSM7093236 CM_EC_minus_noCOVID_r2 CM_EC_minus_noCOVID
- GSM7093237 CM_EC_minus_noCOVID_r3 CM_EC_minus_noCOVID
- GSM7093238 CM_EC_minus_noCOVID_r4 CM_EC_minus_noCOVID
- GSM7093239 CM_EC_plus_COVID_r1 CM_EC_plus_COVID
- GSM7093240 CM_EC_plus_COVID_r2 CM_EC_plus_COVID
- GSM7093241 CM_EC_plus_COVID_r3 CM_EC_plus_COVID
- GSM7093242 CM_EC_plus_COVID_r4 CM_EC_plus_COVID
- GSM7094288 Cardiac_Organoid_No COVID
- GSM7094289 Cardiac_Organoid_COVID
- GSM7926428 CM_EC_plus_Day15_r1 CM_EC_plus_Day15
- GSM7926429 CM_EC_minus_Day15_r1 CM_EC_minus_Day15
- GSM7926430 CM_EC_plus_Day6_r1 CM_EC_plus_Day6
- GSM7926431 CM_EC_minus_Day6_r1 CM_EC_minus_Day6
- GSM7926432 CM_EC_plus_Day15_r2 CM_EC_plus_Day15
- GSM7926433 CM_EC_minus_Day15_r2 CM_EC_minus_Day15
- GSM7926434 CM_EC_plus_Day6_r2 CM_EC_plus_Day6
- GSM7926435 CM_EC_minus_Day6_r2 CM_EC_minus_Day6
- GSE237200 Endothelial transcription factor EB protects against doxorubicin-induced endothelial toxicity and cardiac dysfunction 20 samples shares endothelial, dysfunction, cardiac
- GSE267625 Whole blood transcriptome in long-COVID patients reveals association with lung function and immune response 111 samples shares covid, long
- GSE196198 Longitudinal single-cell multiomics data for different severity of COVID-19 100 samples shares covid, long
- GSE303208 Single cell RNA seq of Healthy, covid-19 infected, recovered and long recovered individuals. 57 samples shares covid, long
- GSE339049 Severe long-COVID is driven by monocyte reprogramming and broad immune dysregulation linked to herpesvirus activation 48 samples shares covid, long
- GSE265753 Single cell gene expression profile of peripheral whole blood cells from long COVID patients 13 samples shares covid, long
- GSE316079 SLF2 and SMC5 dysfunction drives HSC aging and predisposes to MDS, defining a new inherited bone marrow failure syndrome [ATAC-seq] 6 samples shares dysfunction, drives
- GSE210435 TET2 Mutant Clonal Hematopoiesis Enhances Severity of COVID-19 Related Cytokine Release Syndrome and is Associated with Increased Mortality. 363 samples shares covid
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.