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Gene expression analysis of myeloid cells cultured in the presence of fibronectin and/or anti-ILT3 16C5

GSE175354 Homo sapiens (human) RNA-seq (gene expression) 72 samples Submitted 2024/05/01 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 72 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
72 samples: 24 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.
Summary (written by the submitters)
RNA sequencing of monocyte-derived dendritic cells, tolerogenic dendritic cells, unpolarized macrophages, and M1, M2a, and M2c macrophages differentiated in vitro on PBS- or fibronectin-coated wells, in the presence of control IgG1 or anti-ILT3 16C5
This dataset
Open GSE175354 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE175354_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

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 PRJNA732075 and SRA study SRP320950. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
24 conditions, mostly in triplicate
moDC_P_KLH_D ×3 tolDC_P_KLH_D ×3 M0_P_KLH_D ×3 M1_P_KLH_D ×3 M2a_P_KLH_D ×3 M2c_P_KLH_D ×3 moDC_F_KLH_D ×3 tolDC_F_KLH_D ×3 +16 more

Supports a between-group comparison across 72 samples.

How we read this: 24 replicated groups read from 72 sample titles; they account for 72 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.

Samples in this study

+ 32 more — browse all 72 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.