Evidence map›Paper›PMID 35188601›Full record

ArticleStem cell reviews and reports2022

Deciphering the Heterogeneity of Mitochondrial Functions During Hematopoietic Lineage Differentiation.

Haoyue Liang, Shuxu Dong, Weichao Fu, Sen Zhang, Wenying Yu, Fang Dong, Baolin He, Jinhong Wang, Yingdai Gao, Yuan Zhou and 1 more

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Article in Stem cell reviews and reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Haoyue Liang *State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
Shuxu Dong *State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
Weichao Fu *State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
Sen ZhangState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
Wenying YuState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
Fang DongState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
Baolin HeState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
Jinhong WangState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
Yingdai GaoState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China. ydgao@ihcams.ac.cn.
Yuan ZhouState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China. yuanzhou@ihcams.ac.cn.
Yongxin RuState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China. ruyongxin@ihcams.ac.cn.ORCID 0000-0001-6304-1270
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe heterogeneity of mitochondrial function is an important feature of hematopoietic cell lineage differentiation, but its stage wise contribution is not adequately studied. To establish a model to compare the lineage differentiation of hematopoietic stem cells (HSCs), hematopoietic progenitor cells (HPCs), and differentiated blood cells, the mitochondrial mass (MM), mitochondrial membrane potential (MMP), reactive oxygen species (ROS), and mitophagy level were analyzed. RESULTS AND DISCUSSION: HSCs had lower mitochondrial metabolic activity than committed progenitor populations, indicated by lower MM, MMP, and ROS and higher mitophagy. HPC1s shared more stem cell characteristics than HPC2s and committed progenitor populations in terms of mitochondrial number and function. The mitochondrial metabolism of mature blood cells had greater heterogeneity than hematopoietic stem and progenitor cells, with granulocytes being similar to monocytes. Moreover, HSCs exhibited heterogeneity in the selection of mitophagy-related PINK1/PARK2, BNIP3/NIX, and FUNDC1 pathways. Myeloid differentiation had greater morphological and functional heterogeneity of hematopoietic cells than lymphoid differentiation. Additionally, leukemia stem cells had higher aerobic metabolism and better stem cell function through elevated mitophagy than normal hematopoietic cells. ROS and MMP levels in differentiated leukemia cells were higher, but the level of mitophagy was lower than in differentiated hematopoietic cells.

conclusionThis study provides a complete set of methods and basic reference values for the systematic study of the mitochondrial metabolic function of different types of hematopoietic cells under physiological and pathological conditions. The findings contribute to the future research of tumor and aging based on mitochondrial metabolism.

Indexed as

LeukemiaMitophagyHematopoietic Stem CellsHumansMitochondriaReactive Oxygen SpeciesReactive Oxygen SpeciesHematopoietic cellLineage differentiationMetabolic mapMitochondrial functionMitophagy

Identifiers

PMID35188601
OpenAlexW4213003490

What OpenQuestion holds

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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.