Early Prediction of Preeclampsia Based on Transposable Elements Deregulation in the Placenta [RNA-Seq]
RNA-seq (gene expression) · human · 30 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
- 30 samples: 15 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 GSE261306_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 PRJNA1086462 and SRA study SRP494521. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 30 samples.
How we read this: 15 replicated groups read from 30 sample titles; they account for 30 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.
- GSM8140316 Placenta, RNA Control1 Rep1 Placenta, RNA Control1
- GSM8140317 Placenta, RNA Control1 Rep2 Placenta, RNA Control1
- GSM8140318 Placenta, RNA PE2 Rep1 Placenta, RNA PE2
- GSM8140319 Placenta, RNA PE2 Rep2 Placenta, RNA PE2
- GSM8140320 Placenta, RNA PE+IUGR1 Rep1 Placenta, RNA PE+IUGR1
- GSM8140321 Placenta, RNA PE+IUGR1 Rep2 Placenta, RNA PE+IUGR1
- GSM8140322 Placenta, RNA Control2 Rep1 Placenta, RNA Control2
- GSM8140323 Placenta, RNA Control2 Rep2 Placenta, RNA Control2
- GSM8140324 Placenta, RNA PE1 Rep1 Placenta, RNA PE1
- GSM8140325 Placenta, RNA PE1 Rep2 Placenta, RNA PE1
- GSM8140326 Placenta, RNA Control3 Rep1 Placenta, RNA Control3
- GSM8140327 Placenta, RNA Control3 Rep2 Placenta, RNA Control3
- GSM8140328 Placenta, RNA PE3 Rep1 Placenta, RNA PE3
- GSM8140329 Placenta, RNA PE3 Rep2 Placenta, RNA PE3
- GSM8140330 Placenta, RNA PE+IUGR2 Rep1 Placenta, RNA PE+IUGR2
- GSM8140331 Placenta, RNA PE+IUGR2 Rep2 Placenta, RNA PE+IUGR2
- GSM8140332 Placenta, RNA PE4 Rep1 Placenta, RNA PE4
- GSM8140333 Placenta, RNA PE4 Rep2 Placenta, RNA PE4
- GSM8140334 Placenta, RNA PE5 Rep1 Placenta, RNA PE5
- GSM8140335 Placenta, RNA PE5 Rep2 Placenta, RNA PE5
- GSM8140336 Placenta, RNA PE+IUGR3 Rep1 Placenta, RNA PE+IUGR3
- GSM8140337 Placenta, RNA PE+IUGR3 Rep2 Placenta, RNA PE+IUGR3
- GSM8140338 Placenta, RNA Control4 Rep1 Placenta, RNA Control4
- GSM8140339 Placenta, RNA Control4 Rep2 Placenta, RNA Control4
- GSM8140340 Placenta, RNA Control5 Rep1 Placenta, RNA Control5
- GSM8140341 Placenta, RNA Control5 Rep2 Placenta, RNA Control5
- GSM8140342 Placenta, RNA Control6 Rep1 Placenta, RNA Control6
- GSM8140343 Placenta, RNA Control6 Rep2 Placenta, RNA Control6
- GSM8140344 Placenta, RNA PE+IUGR4 Rep1 Placenta, RNA PE+IUGR4
- GSM8140345 Placenta, RNA PE+IUGR4 Rep2 Placenta, RNA PE+IUGR4
- GSE283597 LINE-1 transposable elements regulate the exit of human pluripotency and early brain development [bulkRNA-seq] 45 samples shares transposable, elements, rna-seq, early
- GSE284086 LINE-1 transposable elements regulate the exit of human pluripotency and early brain development [snRNA-seq] 19 samples shares transposable, elements, rna-seq, early
- GSE254242 Cancer cell type-specific derepression of transposable elements by inhibition of chromatin modifier enzymes [RNA-Seq] 99 samples shares transposable, elements, rna-seq
- GSE274217 METTL3-dependent m6A RNA methylation represses transposable elements derived enhancers to suppress naïve pluripotency in human pluripotent stem cells [RNA-Seq] 28 samples shares transposable, elements, rna-seq
- GSE287645 Maternal cause of early-onset preeclampsia: excessive endometrial gland-derived apolipoprotein D induces placental ferroptosis and developmental abnormalities 16 samples shares preeclampsia, placenta, early
- GSE283600 LINE-1 transposable elements regulate the exit of human pluripotency and early brain development 83 samples shares transposable, elements, early
- GSE295760 Multi-omics of chorionic villus samples reveals early pregnancy placental dysfunction associated with preeclampsia 38 samples shares preeclampsia, placenta, early
- GSE49711 RNA-Seq reveals an unprecedented complexity of the neuroblastoma transcriptome and is suitable for clinical endpoint prediction [RNA-Seq] 498 samples shares prediction, 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.