Evidence map›Paper›PMID 35132263›Full record

ArticleNature biotechnology2022

Cell types of origin of the cell-free transcriptome.

Sevahn K Vorperian, Mira N Moufarrej, Tabula Sapiens Consortium, Stephen R Quake

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Nature biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed
8.1field-weighted citation impact, top 1% of its field
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

81 citing papers in PubMed, 98 citations in OpenAlex.

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  13. Integration of Bulk and Single-Cell RNA Sequencing Analyses in Biomedicine.International journal of molecular sciences · 2026
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21 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 12 institutions in 2 countries.

Sevahn K VorperianDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-0418-5260
Mira N MoufarrejDepartment of Bioengineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-8953-4057
Tabula Sapiens Consortium
Stephen R QuakeDepartment of Bioengineering, Stanford University, Stanford, CA, USA. steve@quake-lab.org.ORCID http://orcid.org/0000-0002-1613-0809
Stanford University · USUniversity of California, San Francisco · USChan Zuckerberg Initiative (United States) · USDonor Network West · USUniversity of California, Berkeley · USCardiovascular Institute of the South · USHoward Hughes Medical Institute · USRagon Institute of MGH, MIT and Harvard · USVA Palo Alto Health Care System · USCalifornia Department of Health Care Services · USSan Francisco VA Medical Center · USShantou University · CN

Funding

Wnt signaling in muscle stem cell agingP01AG036695 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MARGARET A. GOODELL · 2011 to 2026
$29.3M
Defining the cellular and molecular mechanisms driving neointimal lesion growth in pulmonary hypertensionR01HL163013 · NHLBI · STANFORD UNIVERSITY · PI KUMAR, MAYA ELISE · 2022 to 2025
$2.7M
Howard Hughes Medical InstituteNHLBI NIH HHS R01 HL163013
6 · The paper itself

Abstract

Cell-free RNA from liquid biopsies can be analyzed to determine disease tissue of origin. We extend this concept to identify cell types of origin using the Tabula Sapiens transcriptomic cell atlas as well as individual tissue transcriptomic cell atlases in combination with the Human Protein Atlas RNA consensus dataset. We define cell type signature scores, which allow the inference of cell types that contribute to cell-free RNA for a variety of diseases.

Indexed as

Cell-Free Nucleic AcidsTranscriptomeHumansCell-Free Nucleic Acids

Identifiers

PMID35132263
PMCPMC9200634
OpenAlexW4210915535

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.