A human-specific microRNA controls the timing of excitatory synaptogenesis (time course ribozero)
RNA-seq (gene expression) · human · 21 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
- 21 samples: 7 × SC1_Day vs 7 × SC2_Day vs 7 × SC3_DayGroups 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 GSE244440_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 PRJNA1023176 and SRA study SRP464155. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 21 samples.
How we read this: 3 replicated groups read from 21 sample titles; they account for 21 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.
- GSM7816170 SC1_Day0 SC1_Day
- GSM7816171 SC1_Day15 SC1_Day
- GSM7816172 SC1_Day21 SC1_Day
- GSM7816173 SC1_Day27 SC1_Day
- GSM7816174 SC1_Day33 SC1_Day
- GSM7816175 SC1_Day40 SC1_Day
- GSM7816176 SC1_Day9 SC1_Day
- GSM7816177 SC2_Day0 SC2_Day
- GSM7816178 SC2_Day15 SC2_Day
- GSM7816179 SC2_Day21 SC2_Day
- GSM7816180 SC2_Day27 SC2_Day
- GSM7816181 SC2_Day33 SC2_Day
- GSM7816182 SC2_Day40 SC2_Day
- GSM7816183 SC2_Day9 SC2_Day
- GSM7816184 SC3_Day0 SC3_Day
- GSM7816185 SC3_Day15 SC3_Day
- GSM7816186 SC3_Day21 SC3_Day
- GSM7816187 SC3_Day27 SC3_Day
- GSM7816188 SC3_Day33 SC3_Day
- GSM7816189 SC3_Day40 SC3_Day
- GSM7816190 SC3_Day9 SC3_Day
- GSE244441 A human-specific microRNA controls the timing of excitatory synaptogenesis (pLNA dataset) 19 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.