Evidence map›Paper›PMID 42844402›Full record

ArticleEMBO reports2026

Prospero prevents lineage-specific loss and gain by regulating cyclin E and mitosis during Drosophila neurogenesis.

Kalpana Makhijani, Shreekant Verma, Jordan Mar, Krishna Moorthi Bhat

Abstract read
PubMed Publisher
In one paragraph

Article in EMBO reports, 2026. 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

4 authors.

Kalpana Makhijani *Department of Biology, University of Tampa, Tampa, FL, 33606, USA.ORCID http://orcid.org/0009-0008-7864-9455
Shreekant Verma *Department of Biomedical Engineering, Heersink School of Medicine and School of Engineering, University of Alabama at Birmingham, Birmingham, AL, USA.ORCID http://orcid.org/0000-0001-5375-2677
Jordan MarGraduate Program, Texas A&M University, College Station, TX, 77843, USA.ORCID http://orcid.org/0000-0003-4597-2404
Krishna Moorthi BhatDepartment of Biomedical Engineering, Heersink School of Medicine and School of Engineering, University of Alabama at Birmingham, Birmingham, AL, USA. bhatk@uab.edu.ORCID http://orcid.org/0000-0002-0899-8173

Funding

HHS | National Institutes of Health (NIH) GM127478HHS | National Institutes of Health (NIH) NS131315
6 · The paper itself

Abstract

In Drosophila, neuroblasts (NBs) undergo self-renewing asymmetric divisions to generate ganglion mother cells (GMCs). Each GMC undergoes a terminal asymmetric division to generate two neurons. It was previously suggested that the loss of function of the chromatin-binding protein Prospero causes dedifferentiation of NB progeny into stem cells. Here, we revisit the role of Prospero during neurogenesis. We find that prospero loss-of-function causes CNS cells to mis- and co-express NB, GMC, and neuronal genes. A significant number of these prospero mutant neurons project axons. Therefore, NB progeny in prospero mutant do not dedifferentiate or function as stem cells. Instead, they fail to divide or undergo an extra cell division in a lineage-dependent manner. These phenotypes correlate with a misregulation of cyclin E. We also find that cells in prospero mutants are often arrested in prophase-metaphase. Mechanistically, these defects appear related to Prospero's extensive chromatin-binding activity and mediating large-scale gene expression regulation. Finally, additional progressive cell death in prospero mutants is not observed. These results expand our knowledge of the complex role of Prospero during neurogenesis.

Identifiers

PMID42844402

What OpenQuestion holds

Textmetadata
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.