Evidence map›Paper›PMID 34901584›Full record

ArticleCurrent opinion in biomedical engineering2021

Applications of high-resolution clone tracking technologies in cancer.

Daylin Morgan, Tyler A Jost, Carolina De Santiago, Amy Brock

Abstract read
In one paragraph

Article in Current opinion in biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Multiplexed enrichment and tracking of lineages with CloneSweeper.bioRxiv : the preprint server for biology · 2026
    Article
  2. Single-Cell Lineage Tracing and Clonal State-Fate Analysis.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  3. Review
  4. Treatment of evolving cancers will require dynamic decision support.Annals of oncology : official journal of the European Society for Medical Oncology · 2023
    Review
  5. Evolution-Informed Strategies for Combating Drug Resistance in Cancer.International journal of molecular sciences · 2023
    Review
  6. Article
  7. Review
  8. 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

4 authors.

Daylin MorganDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas, 78712, United States.
Tyler A JostDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas, 78712, United States.
Carolina De SantiagoDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas, 78712, United States.
Amy BrockDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, Texas, 78712, United States.

Funding

Using label-free Raman microscopy to predict therapeutic resistance of TNBC cellsU01CA253540 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI BROCK, AMY, YANKEELOV, THOMAS E · 2020 to 2024
$2.1M
High resolution cell lineage tracking and isolationR21CA212928 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI BROCK, AMY · 2017 to 2019
$559k
NCI NIH HHS R21 CA212928NCI NIH HHS U01 CA253540
6 · The paper itself

Abstract

Tumors are comprised of dynamic, heterogenous cell populations characterized by numerous genetic and non-genetic alterations that accumulate and change with disease progression and treatment. Retrospective analyses of tumor evolution have relied on the measurement of genetic markers (such as copy number variants) to infer clonal dynamics. However, these approaches neglect the critical contributions of non-genetic drivers of disease. Techniques that harness the power of prospective clone tracking via heritable barcode tags provide an alternative strategy. In this review, we discuss methods for high-resolution, quantitative clone tracking, including recent advancements to pair barcode-specific functionality with scRNA-seq, clonal cell isolation, and in situ hybridization and imaging. We discuss these approaches in the context of cancer cell heterogeneity and treatment resistance.

Indexed as

cell barcodingclonalitylineage tracingsingle cell transcriptomicstumor heterogeneity

Identifiers

PMID34901584
PMCPMC8658740

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Registered trials

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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.