A549 cell Next Gen sequencing (RNA-seq) for differential gene expression of untreated versus IL4 or IL4+ALOX15 siRNA treated cells
RNA-seq (gene expression) · human · 15 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
- 15 samples: 5 conditions, mostly in triplicateGroups 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.
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 GSE171750_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 PRJNA720719 and SRA study SRP314126. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 15 samples.
How we read this: 5 replicated groups read from 15 sample titles; they account for 15 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.
- GSM5233375 A549, Control untreated_1 A549, Control untreated
- GSM5233376 A549, Control untreated_2 A549, Control untreated
- GSM5233377 A549, Control untreated_3 A549, Control untreated
- GSM5233378 A549, 10 ng/ml IL4_1 A549, 10 ng/ml IL4
- GSM5233379 A549, 10 ng/ml IL4_2 A549, 10 ng/ml IL4
- GSM5233380 A549, 10 ng/ml IL4_3 A549, 10 ng/ml IL4
- GSM5233381 A549, 10 ng/ml IL4 + Compound A_1 A549, 10 ng/ml IL4 + Co…
- GSM5233382 A549, 10 ng/ml IL4 + Compound A_2 A549, 10 ng/ml IL4 + Co…
- GSM5233383 A549, 10 ng/ml IL4 + Compound A_3 A549, 10 ng/ml IL4 + Co…
- GSM5233384 A549, 10 ng/ml IL4 + Control Smartpool siRNA_1 A549, 10 ng/ml IL4 + Co…
- GSM5233385 A549, 10 ng/ml IL4 + Control Smartpool siRNA_2 A549, 10 ng/ml IL4 + Co…
- GSM5233386 A549, 10 ng/ml IL4 + Control Smartpool siRNA_3 A549, 10 ng/ml IL4 + Co…
- GSM5233387 A549, 10 ng/ml IL4 + ALOX15 Smartpool siRNA_1 A549, 10 ng/ml IL4 + AL…
- GSM5233388 A549, 10 ng/ml IL4 + ALOX15 Smartpool siRNA_2 A549, 10 ng/ml IL4 + AL…
- GSM5233389 A549, 10 ng/ml IL4 + ALOX15 Smartpool siRNA_3 A549, 10 ng/ml IL4 + AL…
- GSE179420 Normal human bronchial epithelial cell Next Gen sequencing (RNA-seq) for differential gene expression of untreated versus IL4 or IL4+ALOX15 siRNA treated cells 18 samples shares alox15, il4, differential, untreated, rna-seq, treated, versus
- GSE314526 Differential Cellular Mechanisms Underlie Language and Executive Decline in Amyotrophic Lateral Sclerosis [RNA-seq] 72 samples shares differential, rna-seq
- GSE270505 Epigenetic heterogeneity and state-specific transcriptional programs determine differential drug response in osteosarcoma [RNA-seq] 19 samples shares differential, rna-seq
- GSE271385 The APOE isoforms differentially shape the transcriptomic and epigenomic landscapes of human microglia in a xenotransplantation model of Alzheimer’s disease [RNA-seq] 19 samples shares differential, rna-seq
- GSE232322 Differential gene expression in breast cancer cell lines treated with a Baicalein at 100 uM concentration 12 samples shares differential, treated
- GSE283752 Differential unfolded protein response regulation in KRAS silencing sensitive versus innately resistant colorectal cancer cells [SW480 and SW837] 12 samples shares differential, versus
- GSE318601 Early differential impact of MeCP2 mutations on functional networks in Rett syndrome patient-derived human cortical organoids [RNA-Seq] 8 samples shares differential, rna-seq
- GSE285217 Digital transformation of herbal medicine: Conversion to biological entity data using Qi related decoction and constituent herbal medicine-induced transcriptome sequencing_third_A549 270 samples shares a549
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.