Evidence map›Paper›PMID 32127417›Full record

ArticleGenome research2020

RETrace: simultaneous retrospective lineage tracing and methylation profiling of single cells.

Christopher Jen-Yue Wei, Kun Zhang

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. Cell lineage tracing: Methods, applications, and challenges.Quantitative biology (Beijing, China) · 2025
    Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Single-Cell Multiomics Techniques: From Conception to Applications.Frontiers in cell and developmental biology · 2022
    Review
  13. Review
  14. Applications of Single-Cell DNA Sequencing.Annual review of genomics and human genetics · 2021
    Review
  15. Article
  16. Article
  17. Review
  18. The Skull's Girder: A Brief Review of the Cranial Base.Journal of developmental biology · 2021
    Review
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

2 authors at 1 institution in 1 country.

Christopher Jen-Yue WeiDepartment of Bioengineering, University of California San Diego, La Jolla, California 92093, USA.
Kun ZhangDepartment of Bioengineering, University of California San Diego, La Jolla, California 92093, USA.
University of California San Diego · US

Funding

Toward a human adult brain cell atlas with single-cell technologiesU01MH114828 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHUN, JEROLD, REN, BING · 2018 to 2022
$8.7M
Organ Specific ProjectU54HL145608 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHANG, KUN · 2018 to 2021
$5.6M
Single-stranded sequencing using microfluidic reactors (SISSOR)R01HG007836 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HUANG, XIAOHUA, ZHANG, KUN · 2014 to 2017
$3.6M
Improving cell fate conversion by tracking cells and RNA over time and spaceR01HL123755 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IZPISUA BELMONTE, JUAN CARLOS, ZHANG, KUN · 2015 to 2018
$3.0M
NHGRI NIH HHS R01 HG007836NHLBI NIH HHS R01 HL123755NIMH NIH HHS U01 MH114828
6 · The paper itself

Abstract

Retrospective lineage tracing harnesses naturally occurring mutations in cells to elucidate single cell development. Common single-cell phylogenetic fate mapping methods have utilized highly mutable microsatellite loci found within the human genome. Such methods were limited by the introduction of in vitro noise through polymerase slippage inherent in DNA amplification, which we characterized to be approximately 10-100× higher than the in vivo replication mutation rate. Here, we present RETrace, a method for simultaneously capturing both microsatellites and methylation-informative cytosines to characterize both lineage and cell type, respectively, from the same single cell. An important unique feature of RETrace was the introduction of linear amplification of microsatellites in order to reduce in vitro amplification noise. We further coupled microsatellite capture with single-cell reduced representation bisulfite sequencing (scRRBS), to measure the CpG methylation status on the same cell for cell type inference. When compared to existing retrospective lineage tracing methods, RETrace achieved higher accuracy (88% triplet accuracy from an ex vivo HCT116 tree) at a higher cell division resolution (lowering the required number of cell division difference between single cells by approximately 100 divisions). Simultaneously, RETrace demonstrated the ability to capture on average 150,000 unique CpGs per single cell in order to accurately determine cell type. We further formulated additional developments that would allow high-resolution mapping on microsatellite-stable cells or tissues with RETrace. Overall, we present RETrace as a foundation for multi-omics lineage mapping and cell typing of single cells.

Indexed as

DNA MethylationEpigenesis, GeneticComputational BiologyCpG IslandsEpigenomicsHumansMicrosatellite RepeatsSingle-Cell Analysis

Identifiers

PMID32127417
PMCPMC7197472
OpenAlexW3009790836

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.