Evidence map›Paper›PMID 38589969›Full record

ArticleGenome biology2024

scifi-ATAC-seq: massive-scale single-cell chromatin accessibility sequencing using combinatorial fluidic indexing.

Xuan Zhang, Alexandre P Marand, Haidong Yan, Robert J Schmitz

Abstract read
In one paragraph

Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

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  14. Plant engineering: advances, bottlenecks, and promise.The Plant journal : for cell and molecular biology · 2025
    Article
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  16. Article
  17. Review
  18. A spatially resolved multiomic single-cell atlas of soybean development.bioRxiv : the preprint server for biology · 2024
    Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Xuan ZhangDepartment of Genetics, University of Georgia, Athens, GA, USA.
Alexandre P MarandDepartment of Genetics, University of Georgia, Athens, GA, USA.
Haidong YanDepartment of Genetics, University of Georgia, Athens, GA, USA.
Robert J SchmitzDepartment of Genetics, University of Georgia, Athens, GA, USA. schmitz@uga.edu.ORCID 0000-0001-7538-6663

Funding

Exploration of cis-regulatory diversity underlying phenotypic innovationR00GM144742 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARAND, ALEXANDRE · 2023 to 2025
$747k
Exploration of cis-regulatory diversity underlying phenotypic innovationK99GM144742 · NIGMS · UNIVERSITY OF GEORGIA · PI MARAND, ALEXANDRE · 2022 to 2023
$142k
NIGMS NIH HHS K99 GM144742NIGMS NIH HHS R00 GM144742
6 · The paper itself

Abstract

Single-cell ATAC-seq has emerged as a powerful approach for revealing candidate cis-regulatory elements genome-wide at cell-type resolution. However, current single-cell methods suffer from limited throughput and high costs. Here, we present a novel technique called scifi-ATAC-seq, single-cell combinatorial fluidic indexing ATAC-sequencing, which combines a barcoded Tn5 pre-indexing step with droplet-based single-cell ATAC-seq using the 10X Genomics platform. With scifi-ATAC-seq, up to 200,000 nuclei across multiple samples can be indexed in a single emulsion reaction, representing an approximately 20-fold increase in throughput compared to the standard 10X Genomics workflow.

Indexed as

ChromatinChromatin Immunoprecipitation SequencingCell NucleusHigh-Throughput Nucleotide SequencingSequence Analysis, DNAChromatinATAC-seqChromatin accessibilityCombinatorial fluidic indexingMassive-scaleSingle-cell

Identifiers

PMID38589969
PMCPMC11003106

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.