Evidence map›Paper›PMID 38351116›Full record

ArticleScientific reports2024

Whole transcriptome screening for novel genes involved in meiosis and fertility in Drosophila melanogaster.

Siqi Sun, Tyler Defosse, Ayla Boyd, Joel Sop, Faith Verderose, Diya Surray, Mark Aziz, Margaret Howland, Siwen Wu, Neha Changela and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Evaluation and Aggregation of Active Module Identification Algorithms.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. 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

14 authors at 1 institution in 1 country.

Siqi SunDepartment of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.
Tyler DefosseWaksman Institute, Rutgers, The State University of New Jersey, 190 Frelinghuysen Road, Piscataway, NJ, 08854, USA.
Ayla BoydWaksman Institute, Rutgers, The State University of New Jersey, 190 Frelinghuysen Road, Piscataway, NJ, 08854, USA.
Joel SopWaksman Institute, Rutgers, The State University of New Jersey, 190 Frelinghuysen Road, Piscataway, NJ, 08854, USA.
Faith VerderoseWaksman Institute, Rutgers, The State University of New Jersey, 190 Frelinghuysen Road, Piscataway, NJ, 08854, USA.
Diya SurrayWaksman Institute, Rutgers, The State University of New Jersey, 190 Frelinghuysen Road, Piscataway, NJ, 08854, USA.
Mark AzizWaksman Institute, Rutgers, The State University of New Jersey, 190 Frelinghuysen Road, Piscataway, NJ, 08854, USA.
Margaret HowlandWaksman Institute, Rutgers, The State University of New Jersey, 190 Frelinghuysen Road, Piscataway, NJ, 08854, USA.
Siwen WuWaksman Institute, Rutgers, The State University of New Jersey, 190 Frelinghuysen Road, Piscataway, NJ, 08854, USA.
Neha ChangelaWaksman Institute, Rutgers, The State University of New Jersey, 190 Frelinghuysen Road, Piscataway, NJ, 08854, USA.
Janet JangWaksman Institute, Rutgers, The State University of New Jersey, 190 Frelinghuysen Road, Piscataway, NJ, 08854, USA.
Karen SchindlerDepartment of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.
Jinchuan XingDepartment of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA. xing@biology.rutgers.edu.
Kim S McKimDepartment of Genetics, Rutgers, The State University of New Jersey, Piscataway, NJ, USA. mckim@waksman.rutgers.edu.
Rutgers, The State University of New Jersey · US

Funding

Homolog orientation and segregation in acentrosomal meiosisR01GM101955 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI MCKIM, KIM S · 2013 to 2024
$4.6M
Understanding genetic risk for aneuploid conceptionR01HD091331 · NICHD · RUTGERS, THE STATE UNIV OF N.J. · PI Karen A Schindler, JINCHUAN XING · 2018 to 2026
$3.8M
NICHD NIH HHS R01 HD091331NIGMS NIH HHS R01 GM101955NIH HHS R01GM101955NIH HHS R01HD091331
6 · The paper itself

Abstract

Reproductive success requires the development of viable oocytes and the accurate segregation of chromosomes during meiosis. Failure to segregate chromosomes properly can lead to infertility, miscarriages, or developmental disorders. A variety of factors contribute to accurate chromosome segregation and oocyte development, such as spindle assembly and sister chromatid cohesion. However, many proteins required for meiosis remain unknown. In this study, we aimed to develop a screening pipeline for identifying novel meiotic and fertility genes using the genome of Drosophila melanogaster. To accomplish this goal, genes upregulated within meiotically active tissues were identified. More than 240 genes with no known function were silenced using RNA interference (RNAi) and the effects on meiosis and fertility were assessed. We identified 94 genes that when silenced caused infertility and/or high levels of chromosomal nondisjunction. The vast majority of these genes have human and mouse homologs that are also poorly studied. Through this screening process, we identified novel genes that are crucial for meiosis and oocyte development but have not been extensively studied in human or model organisms. Understanding the function of these genes will be an important step towards the understanding of their biological significance during reproduction.

Indexed as

Drosophila ProteinsInfertilityAnimalsCell Cycle ProteinsChromosomal Proteins, Non-HistoneChromosome SegregationDrosophila melanogasterFertilityHumansMeiosisMiceOocytesTranscriptomeCell Cycle ProteinsChromosomal Proteins, Non-HistoneDrosophila Proteins

Identifiers

PMID38351116
PMCPMC10864285
OpenAlexW4391781043

What OpenQuestion holds

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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.