Evidence map›Paper›PMID 40038725›Full record

ReviewJournal of translational medicine2025

Single-cell lineage tracing techniques in hematology: unraveling the cellular narrative.

Lu-Han Deng, Mu-Zi Li, Xiao-Jun Huang, Xiang-Yu Zhao

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Lu-Han DengPeking University People's Hospital, Peking University Institute of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, No. 11 Xizhimen South Street, Beijing, 100044, China.
Mu-Zi LiPeking University People's Hospital, Peking University Institute of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, No. 11 Xizhimen South Street, Beijing, 100044, China.
Xiao-Jun HuangPeking University People's Hospital, Peking University Institute of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, No. 11 Xizhimen South Street, Beijing, 100044, China.
Xiang-Yu ZhaoPeking University People's Hospital, Peking University Institute of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, National Clinical Research Center for Hematologic Disease, No. 11 Xizhimen South Street, Beijing, 100044, China. zhao_xy@bjmu.edu.cn.ORCID 0000-0002-8139-1773

Funding

5511 Science and Technology Innovation Talent Project of Jiangxi Province No. 2023XACX0004Beijing Outstanding Young Scientists Project JWZQ20240101001National Major Science and Technology Projects of China No. 2023ZD0501200National Natural Science Foundation of China No.82070184, 82350105, 82270228Natural Science Foundation of Beijing Municipality Z240019
6 · The paper itself

Abstract

Lineage tracing is a valuable technique that has greatly facilitated the exploration of cell origins and behavior. With the continuous development of single-cell sequencing technology, lineage tracing technology based on the single-cell level has become an important method to study biological development. Single-cell Lineage tracing technology plays an important role in the hematological system. It can help to answer many important questions, such as the heterogeneity of hematopoietic stem cell function and structure, and the heterogeneity of malignant tumor cells in the hematological system. Many studies have been conducted to explore the field of hematology by applying this technology. This review focuses on the superiority of the emerging single-cell lineage tracing technologies of Integration barcodes, CRISPR barcoding, and base editors, and summarizes their applications in the hematology system. These studies have suggested the vast potential in unraveling complex cellular behaviors and lineage dynamics in both normal and pathological contexts.

Indexed as

Cell LineageHematologySingle-Cell AnalysisAnimalsHematopoietic Stem CellsHumansBarcodesCRISPR/Cas9HematologyLineage tracingSingle-cell lineage tracing

Identifiers

PMID40038725
PMCPMC11877926

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.