A human-specific microRNA controls the timing of excitatory synaptogenesis (pLNA dataset)
RNA-seq (gene expression) · human · 19 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
- 19 samples: 16 distinct titles, 3 of them repeatedGroups 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 GSE244441_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 PRJNA1023177 and SRA study SRP464150. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 19 sample titles: 16 distinct titles with little repetition. 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.
- GSM7816191 p4_Empty
- GSM7816192 p1_pLNA-3943
- GSM7816193 p3_pLNA-Ctrl
- GSM7816194 p3_pLNA-3943
- GSM7816195 p2_pLNA-181c
- GSM7816196 p4_pLNA-1229
- GSM7816197 p2_Empty
- GSM7816198 p1_pLNA-Ctrl
- GSM7816199 p2_pLNA-Ctrl
- GSM7816200 p3_pLNA-1229
- GSM7816201 p2_pLNA-3943
- GSM7816202 p3_Empty
- GSM7816203 p4_pLNA-3943
- GSM7816204 p3_pLNA-181c
- GSM7816205 p2_pLNA-1229
- GSM7816206 p4_pLNA-Ctrl
- GSM7816207 p1_Empty
- GSM7816208 p4_pLNA-181c
- GSM7816209 p1_pLNA-181c
- GSE244440 A human-specific microRNA controls the timing of excitatory synaptogenesis (time course ribozero) 21 samples shares human-specific, synaptogenesis, excitatory, microrna, controls, timing
- GSE310579 A human-specific microRNA controls the timing of excitatory synaptogenesis (miRNA mimics) 9 samples shares human-specific, synaptogenesis, excitatory, microrna, controls, timing
- GSE244444 A human-specific microRNA controls the timing of excitatory synaptogenesis 70 samples shares human-specific, synaptogenesis, excitatory, microrna, controls, timing
- GSE260873 Excitatory Neurons Derived from Human-Induced Pluripotent Stem Cells Show Transcriptomic Differences in Alzheimer’s Patients from Controls 13 samples shares excitatory, controls
- GSE39833 microRNA profiles of serum exosomes in healthy controls and colorectal cancer patients-1 99 samples shares microrna, controls
- GSE349625 MicroRNA profiling of freshly isolated human endothelial cells from participants with type 2 diabetes mellitus and non-diabetic controls 38 samples shares microrna, controls
- GSE40246 microRNA profiles of serum exosomes in healthy controls and colorectal cancer patients-2 24 samples shares microrna, controls
- GSE324961 microRNA-132 attenuates inflammation in induced pluripotent stem-cell derived microglia from Alzheimer’s disease patients 95 samples shares microrna
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.