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Generalization of the sci-L3 method to achieve high-throughput linear amplification for replication template strand sequencing, genome conformation capture, and the joint profiling of RNA and chromatin accessibility

GSE281238 Homo sapiens (human) Other 7 samples Submitted 2025/02/25 Platform GPL18573
At a glance

human · 7 samples

Organism
Homo sapiens (human)
Samples
7 samples: 3 × sci_L3_HiC_yi vs 3 × sci_L3_RNA/ATAC/DNA_yi261Groups 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.
Paper
Generalization of the sci-L3 method to achieve high-throughput linear amplification for replication template strand sequencing, genome conformation capture, and the joint profiling of RNA and chromatin accessibilityNucleic acids research · 2025
Summary (written by the submitters)
Single-cell combinatorial indexing (sci-) methods have addressed major limitations of throughput and cost for many single cell modalities. With the incorporation of linear amplification and 3-level barcoding in our suite of methods called sci-L3, we further addressed the limitations of uniformity in single cell genome amplification. Here, we build on the generalizability of sci-L3 by extending it to template strand sequencing (sci-L3-Strand-seq), genome conformation capture (sci-L3-Hi-C), and the joint profiling of RNA and chromatin accessibility (sci-L3-RNA/ATAC).
Read the full summary ↓
We demonstrate the ease of adapting sci-L3 to these new modalities by only requiring a single-step modification of the original protocol. As a proof-of-principle, we show our ability to detect sister chromatid exchanges, genome compartmentalization, and cell state specific features in thousands of single cells. We anticipate sci-L3 to be compatible with additional modalities, including DNA methylation (sci-MET) and chromatin associated factors (CUT&Tag), and ultimately enable a multi-omics readout of them.
Published in
Generalization of the sci-L3 method to achieve high-throughput linear amplification for replication template strand sequencing, genome conformation capture, and the joint profiling of RNA and chromatin accessibility
Chovanec P, Yin Y · Nucleic acids research 2025 · PMID 39997216 · doi:10.1093/nar/gkaf101
This dataset
Download · which file do I need?

Direct links to NCBI, 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.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE281238_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Also filed as BioProject PRJNA1182789. Searching any of these in the dataset finder brings you back here.

Study design
3 × sci_L3_HiC_yi vs 3 × sci_L3_RNA/ATAC/DNA_yi261

Supports a between-group comparison across 6 samples.

How we read this: 2 replicated groups read from 7 sample titles; they account for 6 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
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