Evidence map›Paper›PMID 32132718›Full record

ArticleNature protocols2020

Clonal tracking using embedded viral barcoding and high-throughput sequencing.

Charles Bramlett, Du Jiang, Anna Nogalska, Jiya Eerdeng, Jorge Contreras, Rong Lu

Abstract read
In one paragraph

Article in Nature protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. A modeller's guide for biomedical discovery.Disease models & mechanisms · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Single-Cell Lineage Tracing and Clonal State-Fate Analysis.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Charles Bramlett *Eli and Edythe Broad CIRM Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, Los Angeles, CA, USA.
Du Jiang *Eli and Edythe Broad CIRM Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, Los Angeles, CA, USA.
Anna NogalskaEli and Edythe Broad CIRM Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, Los Angeles, CA, USA.
Jiya EerdengEli and Edythe Broad CIRM Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, Los Angeles, CA, USA.
Jorge ContrerasEli and Edythe Broad CIRM Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, Los Angeles, CA, USA.
Rong LuEli and Edythe Broad CIRM Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, Los Angeles, CA, USA. ronglu@usc.edu.ORCID http://orcid.org/0000-0002-5151-9246

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4M
Investigating the heterogeneity and coordination of hematopoietic stem cells (Diversity Supplement)R35HL150826 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Rong Lu · 2020 to 2026
$6.8M
Tracing the developmental origin of hematopoietic stem cell heterogeneityR01HL138225 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LU, RONG · 2017 to 2019
$1.6M
Investigating the heterogeneous aging of individual hematopoietic stem cell clonesR01HL135292 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LU, RONG · 2017 to 2019
$1.5M
Lineage bias and clonal expansion of hematopoietic stem cell differentiationR00HL113104 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LU, RONG · 2014 to 2016
$747k
NCI NIH HHS P30 CA014089NHLBI NIH HHS R00 HL113104NHLBI NIH HHS R01 HL135292NHLBI NIH HHS R01 HL138225NHLBI NIH HHS R35 HL150826U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R00HL113104U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL135292U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL135292SU.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01HL138225
6 · The paper itself

Abstract

Embedded viral barcoding in combination with high-throughput sequencing is a powerful technology with which to track single-cell clones. It can provide clonal-level insights into cellular proliferation, development, differentiation, migration, and treatment efficacy. Here, we present a detailed protocol for a viral barcoding procedure that includes the creation of barcode libraries, the viral delivery of barcodes, the recovery of barcodes, and the computational analysis of barcode sequencing data. The entire procedure can be completed within a few weeks. This barcoding method requires cells to be susceptible to viral transduction. It provides high sensitivity and throughput, and enables precise quantification of cellular progeny. It is cost efficient and does not require any advanced skills. It can also be easily adapted to many types of applications, including both in vitro and in vivo experiments.

Indexed as

AnimalsCell ProliferationCell TrackingClone CellsDNADNA Barcoding, TaxonomicGenetic VectorsHEK293 CellsHigh-Throughput Nucleotide SequencingHumansLentivirusMiceDNA

Identifiers

PMID32132718
PMCPMC7427513

What OpenQuestion holds

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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.