Evidence map›Paper›PMID 39872155›Full record

ArticleLife medicine2024

4D live tracing reveals distinct movement trajectories of meiotic chromosomes.

Peng Xie, Shiqi Zhu, Jin Zhang, Xinrui Wang, Xu Jiang, Feng Xiong, Linjin Chen, Ke Fang, Yuanhui Ji, Beihong Zheng and 5 more

Abstract read
In one paragraph

Article in Life medicine, 2024. 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

15 authors.

Peng XieSchool of Biological Science and Medical Engineering, Southeast University, Nanjing 211102, China.ORCID https://orcid.org/0000-0002-9509-7268
Shiqi ZhuSchool of Life Science and Technology, Southeast University, Nanjing 210096, China.
Jin ZhangSchool of Life Science and Technology, Southeast University, Nanjing 210096, China.
Xinrui WangMedical Research Center, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou 350004, China.
Xu JiangSchool of Life Science and Technology, Southeast University, Nanjing 210096, China.
Feng XiongSchool of Biological Science and Medical Engineering, Southeast University, Nanjing 211102, China.
Linjin ChenMedical Research Center, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou 350004, China.
Ke FangSchool of Life Science and Technology, Southeast University, Nanjing 210096, China.
Yuanhui JiJiangsu Province Hi-Tech Key Laboratory for Biomedical Research, School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211102, China.
Beihong ZhengCenter of Reproductive Medicine, Fujian Maternity and Child Health Hospital, Fuzhou 350001, China.
Lincui DaCenter of Reproductive Medicine, Fujian Maternity and Child Health Hospital, Fuzhou 350001, China.
Hua CaoMedical Research Center, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou 350004, China.ORCID https://orcid.org/0000-0001-5480-1610
Yan SunCenter of Reproductive Medicine, Fujian Maternity and Child Health Hospital, Fuzhou 350001, China.
Zhuojuan LuoCo-innovation Center of Neuroregeneration, Nantong University, Nantong 226001, China.ORCID https://orcid.org/0000-0002-0715-0648
Chengqi LinCo-innovation Center of Neuroregeneration, Nantong University, Nantong 226001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proper chromosome alignment at the spindle equator is a prerequisite for accurate chromosome segregation during cell division. However, the chromosome movement trajectories prior to alignment remain elusive. Here, we established a 4D imaging analysis framework to visualize chromosome dynamics and develop a deep-learning model for chromosome movement trajectory classification. Our data reveal that chromosomes follow at least three distinct movement trajectories (retracing, congressing, and quasi-static) to arrive at the equator. We further revealed the distinct roles of multiple kinesin superfamily proteins (KIFs) in coordinating and maintaining the chromosome movement trajectories. In summary, we have presented an efficient and unbiased approach to studying chromosome dynamics during cell division, thereby uncovering a variety of chromosome movement trajectories that precede alignment.

Indexed as

chromosome movement trajectorychromosome segregationdeep learninglive imaging

Identifiers

PMID39872155
PMCPMC11748274

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.