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Precise immuno-fluorescence canceling enables highly multiplexed imaging [RNA-seq]

GSE242886 Homo sapiens (human) Single-cell RNA-seq 3 samples Submitted 2024/04/21 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 3 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Homo sapiens (human)
Samples
3 samples
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.
Paper
Precise immunofluorescence canceling for highly multiplexed imaging to capture specific cell statesNature communications · 2024
Summary (written by the submitters)
Cell states are regulated by extrinsic signals from various external factors such as intercellular interactions, and intrinsic gene expression. Although comprehensive cell state profiling has been attempted, it remains simultaneous analysis of signal activation has still been challenging. Multiplexed imaging is a technique acquiring multiple protein information at a single cell level as traditional immunofluorescence.
Read the full summary ↓
However, the method often compromises resolution, hindering the analysis of intracellular localization dynamics and post-translational modifications of proteins. To address these limitations, we developed an erasable fluorescence method using disulfide linkers to label antibodies. We term these antibodies ‘Precise Emission Canceling Antibodies (PECAbs)’. PECAb allows for high-resolution iterative imaging with minimal non-specific binding. Automation enables our system to achieve reproducible quantitative analysis using 206 antibodies. The resulting quantitative data allow reconstruction of the spatiotemporal dynamics of signaling pathways over both long and short timescales. Additionally, combining this approach with sequential RNA-FISH can effectively classify cells and identify their signal activation states in human tissue. Overall, the PECAb system serves as a comprehensive platform for analyzing complex cell processes, from signal transduction to gene expression.
Published in
Precise immunofluorescence canceling for highly multiplexed imaging to capture specific cell states
Tomimatsu K, Fujii T, Bise R et al. · Nature communications 2024 · PMID 38719795 · doi:10.1038/s41467-024-47989-9
This dataset
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.

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 GSE242886_RAW.tar (it can run to tens of gigabytes).

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.

What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1015232 and SRA study SRP459772. Searching any of these in the dataset finder brings you back here.

Samples in this study

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