MétaCan
Menu
Back to cohort
Record W4415738500 · doi:10.1128/mbio.02898-25

Functional insight into cyclin-dependent kinase (CDK)7 via chemical inhibition of the priority fungal pathogen <i>Cryptococcus neoformans</i>

2025· article· en· W4415738500 on OpenAlexaff
Pooja Sethiya, Desmarini Desmarini, Bethany Bowring, Kyle Cesar, Michael J. Boucher, Angela Wei, Hiten D. Madhani, Ben Crossett, A Connelly, Catriona Halliday, Sharon C.‐A. Chen, Joey Lai, Koon Ho Wong, Julianne T. Djordjevic

Bibliographic record

VenuemBio · 2025
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsIONICS Mass Spectrometry (Canada)
FundersNational Health and Medical Research CouncilNational Institutes of HealthUniversity of SydneyAmerican Heart Association
KeywordsPathogenCyclin-dependent kinase 7AntifungalFunction (biology)LeukemiaKinaseDrug resistanceMyeloid leukemia

Abstract

fetched live from OpenAlex

ABSTRACT Cyclin-dependent kinase (CDK)7 regulates the cell cycle and transcription in higher eukaryotes, but its function and the antifungal potential of CDK7 inhibitors remain unexplored in fungal pathogens. CDK7 inhibitors were identified to probe CDK7 function in the priority fungal pathogen, Cryptococcus neoformans ( Cn ). The CDK7 ortholog in Cn was tagged with mNeonGreen and shown to form a nuclear-localized, CDK-activating kinase (CAK) complex with cyclin H and assembly factor Mat1. The pulled-down CAK complex was demonstrated to be active and was used to identify several human CDK7 inhibitors that also inhibit Cn CDK7 enzyme activity. In addition to inhibiting Cn CDK7 enzyme activity, the compound mevociclib (SY-1365) most significantly inhibited fungal growth and was deployed to probe Cn CDK7 function using multi-omics analysis, flow cytometry, and Western blotting, with roles in transcription via RNA polymerase II phosphorylation, mRNA splicing, and progression through G 2 /M of the cell cycle identified. Inhibition of CDK7 also suppressed MAP kinase (Hog1) signaling. Notably, compound SY-1365 and related inhibitors synergized with licensed, membrane-targeting antifungals at low micromolar concentrations against both C. neoformans and Cryptococcus gattii . Our findings establish SY-1365 as a powerful chemical probe to define CDK7 function in Cn and suggest that its role more closely resembles that in human cells than in model fungi. Furthermore, given that CDK7 inhibitors are used in oncology, our findings identify CDK7 inhibitors as promising antifungal candidates for combination therapy with licensed antifungals, with the potential to overcome current challenges associated with toxicity and antifungal resistance. IMPORTANCE Cn , a basidiomycete causing meningoencephalitis with 40%–60% mortality, was recently assigned as a “critical” priority pathogen by the World Health Organization. Cn commonly affects AIDS patients, organ transplant recipients, and individuals with hematological malignancies, yet current treatments are limited by toxicity or resistance due to prolonged therapy. Given that CDK7 inhibitors kill leukemia cells, and Cn proliferation in host tissues mimics tumor-like growth, we investigated whether their utility as anticancer agents extends to antifungal activity and elucidation of CDK7 function in Cn . Use of SY-1365, which was both antifungal and CnCDK7 inhibitory, identified roles for CnCDK7 in all stages of transcription, mRNA splicing, and cell cycle regulation. The antifungal activity of SY-1365 was also markedly enhanced in combination with membrane-targeting antifungals. Together, our findings highlight CDK7 inhibitors as valuable tools to study CDK7 function in Cn and as potentially promising antifungals in combination with licensed antifungals.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.567

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.228
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venuemBioSame topicCancer-related Molecular PathwaysFrench-language works237,207