Evidence map›Paper›PMID 32518404›Full record

ArticleNature biotechnology2020

Single-cell RNA counting at allele and isoform resolution using Smart-seq3.

Michael Hagemann-Jensen, Christoph Ziegenhain, Ping Chen, Daniel Ramsköld, Gert-Jan Hendriks, Anton J M Larsson, Omid R Faridani, Rickard Sandberg

Abstract read
PubMed Publisher
In one paragraph

Article in Nature biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 445 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
445citing papers in PubMed, 2 pooled it
–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

445 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Single-cell RNA sequencing offers novel perspectives in viral infection research.Frontiers in cellular and infection microbiology · 2026
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385 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Michael Hagemann-JensenDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-6423-8216
Christoph ZiegenhainDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-2208-4877
Ping ChenIntegrated Cardio Metabolic Center, Karolinska Institutet, Stockholm, Sweden.
Daniel RamsköldDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-2892-673X
Gert-Jan HendriksDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.
Anton J M LarssonDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.
Omid R FaridaniIntegrated Cardio Metabolic Center, Karolinska Institutet, Stockholm, Sweden.
Rickard SandbergDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden. rickard.sandberg@ki.se.ORCID http://orcid.org/0000-0001-6473-1740

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale sequencing of RNA from individual cells can reveal patterns of gene, isoform and allelic expression across cell types and states

Indexed as

AllelesAnimalsGene Expression ProfilingHumansMiceRNARNA IsoformsSensitivity and SpecificitySequence Analysis, RNASingle-Cell AnalysisTranscriptomeRNARNA Isoforms

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.