Evidence map›Paper›PMID 26416664›Full record

ArticleJournal of translational medicine2015

Global comparison of chromosome X genes of pulmonary telocytes with mesenchymal stem cells, fibroblasts, alveolar type II cells, airway epithelial cells, and lymphocytes.

Yichun Zhu, Minghuan Zheng, Dongli Song, Ling Ye, Xiangdong Wang

Abstract readComparative Study
In one paragraph

Article in Journal of translational medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. RBMX2 linkseLife · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Host factorFrontiers in immunology · 2024
    Article
  7. Article
  8. Frontiers in cellular and infection microbiology · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Telocytes and Their Extracellular Vesicles-Evidence and Hypotheses.International journal of molecular sciences · 2016
    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

5 authors.

Yichun ZhuZhongshan Hospital, Shanghai Institute of Clinical Bioinformatics, Fudan University Center for Bioinformatics, Fudan University, Shanghai, China. zhu.yichun@zs-hospital.com.
Minghuan ZhengZhongshan Hospital, Shanghai Institute of Clinical Bioinformatics, Fudan University Center for Bioinformatics, Fudan University, Shanghai, China. minghuan_zheng@qq.com.
Dongli SongZhongshan Hospital, Shanghai Institute of Clinical Bioinformatics, Fudan University Center for Bioinformatics, Fudan University, Shanghai, China. songdongli37@126.com.
Ling YeZhongshan Hospital, Shanghai Institute of Clinical Bioinformatics, Fudan University Center for Bioinformatics, Fudan University, Shanghai, China. ye.ling@zs-hospital.sh.cn.
Xiangdong WangZhongshan Hospital, Shanghai Institute of Clinical Bioinformatics, Fudan University Center for Bioinformatics, Fudan University, Shanghai, China. xdwang@fuccb.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTelocytes (TCs) are suggested as a new type of interstitial cells with specific telopodes. Our previous study evidenced that TCs differed from fibroblasts and stem cells at the aspect of gene expression profiles. The present study aims to search the characters and patterns of chromosome X genes of TC-specific or TC-dominated gene profiles and fingerprints, investigate the network of principle genes, and explore potential functional association.

methodsWe compared gene expression profiles in chromosome X of pulmonary TCs with mesenchymal stem cells (MSC), fibroblasts (Fb), alveolar type II cells (ATII), airway basal cells (ABC), proximal airway cells (PAC), CD8(+) T cells come from bronchial lymph nodes (T-BL), or CD8(+) T cells from lungs (T-L) by global analyses, and selected the genes which were consistently up or down regulated (>1 fold) in TCs compared to other cells as TC-specific genes. The functional and characteristic networks were identified and compared by bioinformatics tools.

resultsWe selected 31 chromosome X genes as the TC-specific or dominated genes, among which 8 up-regulated (Flna, Msn, Cfp, Col4a5, Mum1l1, Rnf128, Syn1, and Srpx2) and 23 down-regulated (Abcb7, Atf1, Ddx26b, Drp2, Fam122b, Gyk, Irak1, Lamp2, Mecp2, Ndufb11, Ogt, Pdha1, Pola1, Rab9, Rbmx2, Rhox9, Thoc2, Vbp1, Dkc1, Nkrf, Piga, Tmlhe and Tsr2), as compared with other cells.

conclusionsOur data suggested that gene expressions of chromosome X in TCs are different with those in other cells in the lung tissue. According to the selected TC-specific genes, we infer that pulmonary TCs function as modulators which may enhance cellular growth and migration, resist senescence, protect cells from external stress, regulate immune responses, participate in tissue remodeling and repair, regulate neural function, and promote vessel formation.

Indexed as

Chromosomes, Human, XGene Expression ProfilingFibroblastsHumansLymphocytesMesenchymal Stem CellsMultigene FamilyPulmonary AlveoliTelocytesTrachea

Identifiers

PMID26416664
PMCPMC4587873

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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.