Evidence map›Paper›PMID 32413320›Full record

ArticleCell2020

An Engineered CRISPR-Cas9 Mouse Line for Simultaneous Readout of Lineage Histories and Gene Expression Profiles in Single Cells.

Sarah Bowling, Duluxan Sritharan, Fernando G Osorio, Maximilian Nguyen, Priscilla Cheung, Alejo Rodriguez-Fraticelli, Sachin Patel, Wei-Chien Yuan, Yuko Fujiwara, Bin E Li and 3 more

Erratum issuedAbstract read
In one paragraph

Article in Cell, 2020. 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 186 papers.

0numbers the graph read from it
0cells of the map it votes in
186citing 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

186 citing papers in PubMed.

  1. Review
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  7. Foxs1-mediated transformation of CD34EMBO molecular medicine · 2026
    Article
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126 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Sarah BowlingStem Cell Program, Boston Children's Hospital, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
Duluxan SritharanHarvard Graduate Program in Biophysics, Harvard University, Cambridge, MA, USA; Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA.
Fernando G OsorioStem Cell Program, Boston Children's Hospital, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
Maximilian NguyenDepartment of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
Priscilla CheungStem Cell Program, Boston Children's Hospital, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
Alejo Rodriguez-FraticelliStem Cell Program, Boston Children's Hospital, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
Sachin PatelStem Cell Program, Boston Children's Hospital, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
Wei-Chien YuanStem Cell Program, Boston Children's Hospital, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
Yuko FujiwaraDivision of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Bin E LiDivision of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Stuart H OrkinDivision of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Howard Hughes Medical Institute, Boston, MA, USA.
Sahand HormozDepartment of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Systems Biology, Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Electronic address: sahand_hormoz@hms.harvard.edu.
Fernando D CamargoStem Cell Program, Boston Children's Hospital, Boston, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA. Electronic address: fernando.camargo@childrens.harvard.edu.

Funding

STRUCTURE-FUNCTION RELATIONSHIPS IN THE ALIMENTARY TRACTP30DK034854 · NIDDK · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WAYNE I LENCER · 1986 to 2026
$32.4M
Transcriptional and epigenetic heterogeneity of stem/progenitor cellsP01HL131477 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI David T Scadden · 2017 to 2026
$24.6M
Project-002U54DK110805 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI ORKIN, STUART H, ZON, LEONARD IRA · 2016 to 2020
$5.9M
Molecular regulation of native hematopoiesisR01HL128850 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI CAMARGO, FERNANDO · 2016 to 2024
$4.9M
Image guided profiling of the native HSC nicheR01DK123216 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI CAMARGO, FERNANDO, LIN, CHARLES P. · 2019 to 2021
$941k
Lineage-based inference of cell state transition dynamics in development and diseaseR00GM118910 · NIGMS · DANA-FARBER CANCER INST · PI HORMOZ, SAHAND · 2017 to 2019
$747k
Role of DHX29 in the regulation of Hippo pathway effectors YAP/TAZ in cancerF31CA235893 · NCI · HARVARD MEDICAL SCHOOL · PI CHEUNG, PRISCILLA · 2019 to 2021
$86k
Howard Hughes Medical InstituteNCI NIH HHS F31 CA235893NHLBI NIH HHS P01 HL131477NHLBI NIH HHS R01 HL128850NIDDK NIH HHS P30 DK034854NIDDK NIH HHS R01 DK123216NIDDK NIH HHS U54 DK110805NIGMS NIH HHS R00 GM118910
6 · The paper itself

Abstract

Tracing the lineage history of cells is key to answering diverse and fundamental questions in biology. Coupling of cell ancestry information with other molecular readouts represents an important goal in the field. Here, we describe the CRISPR array repair lineage tracing (CARLIN) mouse line and corresponding analysis tools that can be used to simultaneously interrogate the lineage and transcriptomic information of single cells in vivo. This model exploits CRISPR technology to generate up to 44,000 transcribed barcodes in an inducible fashion at any point during development or adulthood, is compatible with sequential barcoding, and is fully genetically defined. We have used CARLIN to identify intrinsic biases in the activity of fetal liver hematopoietic stem cell (HSC) clones and to uncover a previously unappreciated clonal bottleneck in the response of HSCs to injury. CARLIN also allows the unbiased identification of transcriptional signatures associated with HSC activity without cell sorting.

Indexed as

AnimalsCell LineCell LineageClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsFemaleFlow CytometryHematopoietic Stem CellsMaleMiceTranscriptomeTransduction, Geneticbarcodinghematopoiesislineage tracingsingle cellstem cells

Identifiers

PMID32413320
PMCPMC7529102

What OpenQuestion holds

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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.