CCL2-mediated Endothelial Injury Drives Cardiac Dysfunction in Long COVID
RNA-seq (gene expression) · human · 23 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
- 23 samples: 10 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 GSE252448_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 PRJNA1060662 and SRA study SRP481083. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 23 samples.
How we read this: 10 replicated groups read from 23 sample titles; they account for 23 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.
- GSM8001521 Pt8 Pt
- GSM8001522 Pt9 Pt
- GSM8001523 HC6 1 HC6
- GSM8001524 HC6 2 HC6
- GSM8001525 HC7 1 HC7
- GSM8001526 HC7 2 HC7
- GSM8001527 Pt5 Pt
- GSM8001528 Pt6 Pt
- GSM8001529 Pt7 Pt
- GSM8001530 CM_Live_Plus CM_Live_Plus
- GSM8001531 CM_Live_Plus_2 CM_Live_Plus
- GSM8001532 CMEC_Live_Plus CMEC_Live_Plus
- GSM8001533 CMEC_Live_Plus_2 CMEC_Live_Plus
- GSM8001534 CM_Mock CM_Mock
- GSM8001535 CM_Mock_2 CM_Mock
- GSM8001536 CMEC_Mock CMEC_Mock
- GSM8001537 CMEC_Mock_2 CMEC_Mock
- GSM8001538 CCL2KD_CMEC_Mock CCL2KD_CMEC_Mock
- GSM8001539 CCL2KD_CMEC_Mock2 CCL2KD_CMEC_Mock
- GSM8001540 CCL2KD_CM_Pseudo CCL2KD_CM_Pseudo
- GSM8001541 CCL2KD_CM_Pseudo2 CCL2KD_CM_Pseudo
- GSM8001542 CCL2KD_CMEC_Pseudo CCL2KD_CMEC_Pseudo
- GSM8001543 CCL2KD_CMEC_Pseudo2 CCL2KD_CMEC_Pseudo
- 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
- GSE303208 Single cell RNA seq of Healthy, covid-19 infected, recovered and long recovered individuals. 57 samples shares covid, long
- GSE265753 Single cell gene expression profile of peripheral whole blood cells from long COVID patients 13 samples shares covid, long
- GSE196198 Longitudinal single-cell multiomics data for different severity of COVID-19 100 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
- 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
- GSE264443 Dynamic gene expression analysis reveals distinct severity phases of immune and cellular dysregulation in COVID-19 189 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.