Evidence map›Paper›PMID 40370916›Full record

ReviewCureus2025

Retrospective Lineage Tracing: An Optimal Approach for the Study of Intrinsic Cellular Development.

Alessandro Hammond, Anuj Mankad

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Alessandro HammondHematology and Oncology, Massachusetts General Hospital, Boston, USA.
Anuj MankadHematology and Medical Oncology, Oregon Health and Science University School of Medicine, Portland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lineage tracing is an essential tool for understanding cellular development and tissue dynamics. This review examines retrospective lineage tracing as an optimal approach for studying cellular development and contrasts retrospective with prospective lineage tracing methods. Retrospective lineage tracing approaches leverage naturally occurring genetic barcodes, such as single nucleotide polymorphisms (SNPs), copy number variants (CNVs), and mitochondrial DNA mutations, which enables the detailed reconstruction of cell lineages without prior genetic manipulation. Researchers can ultimately infer developmental trajectories and clonal relationships across hematopoiesis and tumorigenesis by analyzing these endogenous markers. This paper considers how retrospective lineage tracing methods circumvent the limitations of prospective approaches, such as the need for exogenous labeling, and is valuable for studying human hematopoiesis.

Indexed as

clonal hematopoiesis of indeterminate potentialextra-medullary hematopoiesislineage tracingmodels of thrombosis and hemostasispreoperative hematopoiesis

Identifiers

PMID40370916
PMCPMC12077648

What OpenQuestion holds

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LicenceCC BY
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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.