Placental Privilege: Evidence of Organ Resilience in severe COVID-19
RNA-seq (gene expression) · human · 52 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
- 52 samples: 19 × placenta_PRYA vs 19 × blood_PRYAGroups 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
- Placental Privilege: Evidence of organ resilience in severe COVID-19 in pregnancyPlacenta · 2026
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 GSE249139_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 PRJNA1047537 and SRA study SRP475348. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 38 samples.
How we read this: 2 replicated groups read from 52 sample titles; they account for 38 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.
- GSM7927333 placenta_PRYA144-1
- GSM7927334 placenta_PRYA215 placenta_PRYA
- GSM7927335 placenta_PRYA186 placenta_PRYA
- GSM7927336 placenta_PRYA132 placenta_PRYA
- GSM7927337 placenta_PRYA209/133-1
- GSM7927338 placenta_PRYA167-1
- GSM7927339 placenta_PRYA176 placenta_PRYA
- GSM7927340 placenta_PRYA108/YA252
- GSM7927341 placenta_PRYA206/184-1
- GSM7927342 placenta_PRYA211 placenta_PRYA
- GSM7927343 placenta_PRYA148 placenta_PRYA
- GSM7927344 placenta_PRYA110/YA248
- GSM7927345 placenta_PRYA175-1
- GSM7927346 placenta_PRYA207 placenta_PRYA
- GSM7927347 placenta_PRYA146 placenta_PRYA
- GSM7927348 placenta_PRYA190 placenta_PRYA
- GSM7927349 placenta_PRYA49 placenta_PRYA
- GSM7927350 placenta_PRYA2000 placenta_PRYA
- GSM7927351 placenta_PRYA141 placenta_PRYA
- GSM7927352 placenta_PRYA187 placenta_PRYA
- GSM7927353 placenta_PRYA286 placenta_PRYA
- GSM7927354 placenta_PRYA288 placenta_PRYA
- GSM7927355 placenta_PRYA290 placenta_PRYA
- GSM7927356 placenta_PRYA297 placenta_PRYA
- GSM7927357 placenta_PRYA298 placenta_PRYA
- GSM7927358 placenta_PRYA301 placenta_PRYA
- GSM7927359 blood_PRYA144-1
- GSM7927360 blood_PRYA215 blood_PRYA
- GSM7927361 blood_PRYA186 blood_PRYA
- GSM7927362 blood_PRYA132 blood_PRYA
- GSM7927363 blood_PRYA209/133-1
- GSM7927364 blood_PRYA167-1
- GSM7927365 blood_PRYA176 blood_PRYA
- GSM7927366 blood_PRYA108/YA252
- GSM7927367 blood_PRYA206/184-1
- GSM7927368 blood_PRYA211 blood_PRYA
- GSM7927369 blood_PRYA148 blood_PRYA
- GSM7927370 blood_PRYA110/YA248
- GSM7927371 blood_PRYA175-1
- GSM7927372 blood_PRYA207 blood_PRYA
+ 12 more — browse all 52 samples with per-sample file links →
- GSE212861 Dynamics of gene expression profiling by RNA-Seq and identification of high-risk patients for severe COVID-19 [RNA-Seq] 93 samples shares covid-19, severe
- GSE202805 Global Transcriptomic analysis of PBMC derived from COVID-19 acute-severe patients and convalescents 80 samples shares covid-19, severe
- GSE273149 Longitudinal transcriptomic analysis reveals persistent enrichment of iron homeostasis and erythrocyte function pathways in severe COVID-19 ARDS 49 samples shares covid-19, severe
- GSE237180 Distinct pulmonary and systemic effects of dexamethasone in severe COVID-19. 45 samples shares covid-19, severe
- GSE152418 Systems biological assessment of immunity to severe and mild COVID-19 infections 34 samples shares covid-19, severe
- GSE236030 Distinct pulmonary and systemic effects of dexamethasone in severe COVID-19 24 samples shares covid-19, severe
- GSE237109 Distinct pulmonary and systemic effects of dexamethasone in severe COVID-19 21 samples shares covid-19, severe
- GSE212866 Dynamics of gene expression profiling by microarrays and identification of high-risk patients for severe COVID-19 230 samples shares covid-19, severe
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.