Base editing reveals an essential role for NANOG in human embryo lineage specification.
RNA-seq (gene expression) · human · 13 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
- 13 samples: 8 × Human NANOG Targeted Blastocyst Mosaic vs 3 × Human NANOG Targeted Blastocyst Homozygous vs 2 × Human AAVS1 Targeted BlastocystGroups 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 GSE319780_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 PRJNA1425079 and SRA study SRP677855. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 13 samples.
How we read this: 3 replicated groups read from 13 sample titles; they account for 13 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.
- GSM9526269 Human NANOG Targeted Blastocyst Mosaic 1 Human NANOG Targeted Bl…
- GSM9526270 Human NANOG Targeted Blastocyst Mosaic 2 Human NANOG Targeted Bl…
- GSM9526271 Human NANOG Targeted Blastocyst Mosaic 3 Human NANOG Targeted Bl…
- GSM9526272 Human NANOG Targeted Blastocyst Homozygous 4 Human NANOG Targeted Bl…
- GSM9526273 Human NANOG Targeted Blastocyst Mosaic 5 Human NANOG Targeted Bl…
- GSM9526274 Human NANOG Targeted Blastocyst Mosaic 6 Human NANOG Targeted Bl…
- GSM9526275 Human NANOG Targeted Blastocyst Homozygous 7 Human NANOG Targeted Bl…
- GSM9526276 Human NANOG Targeted Blastocyst Homozygous 8 Human NANOG Targeted Bl…
- GSM9526277 Human NANOG Targeted Blastocyst Mosaic 9 Human NANOG Targeted Bl…
- GSM9526278 Human NANOG Targeted Blastocyst Mosaic 10 Human NANOG Targeted Bl…
- GSM9526279 Human NANOG Targeted Blastocyst Mosaic 11 Human NANOG Targeted Bl…
- GSM9526280 Human AAVS1 Targeted Blastocyst 1 Human AAVS1 Targeted Bl…
- GSM9526281 Human AAVS1 Targeted Blastocyst 2 Human AAVS1 Targeted Bl…
- GSE242328 METTL7B is an essential epigenetic regulator of lineage specification in glioblastoma [RNAseq] 16 samples shares specification, essential, lineage
- GSE287868 Transcriptomic footprinting following restoration of p53 sequence and function utilising Adenine Base Editing 54 samples shares editing, base
- GSE264114 An Improved SNAP-ADAR Tool Enables Efficient RNA Base Editing to Interfere with Post-translational Protein Modification 26 samples shares editing, base
- GSE288161 Single-cell exploration of gonadal somatic cell lineage specification during human sex determination 20 samples shares specification, lineage
- GSE243185 Activation of the imprinted Prader-Willi Syndrome locus by CRISPR-based epigenome editing [RNA-seq] 18 samples shares editing, base
- GSE297430 Systemic comparison of dCas9-based DNA methylation editing systems for specificity and stability [RNAseq_firstRun] 17 samples shares editing, base
- GSE307482 Functional correction and genome integrity with duplex base editing of β-thalassemic hematopoietic stem cells 15 samples shares editing, base
- GSE291384 Multiplex base editing of BCL11A regulatory elements to treat sickle cell disease 12 samples shares editing, base
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.