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Record W4412792039 · doi:10.1101/2025.07.28.667104

Sp100-HMG drives ‘inside-out’ PML-NB assembly to modulate transcription and cell-cycle dynamics

2025· preprint· en· W4412792039 on OpenAlexaff
Yilei Ma, Chaoyi Chen, Jialing Li, Xiuyan Guo, Xiaoli Zhang, Pei Xu

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsInstitute of Infection and Immunity
FundersShenzhen Science and Technology Innovation ProgramNational Key Research and Development Program of ChinaSanming Project of Medicine in ShenzhenNational Natural Science Foundation of ChinaNatural Science Foundation of Shenzhen City
KeywordsPromyelocytic leukemia proteinBiologySUMO proteinCell biologyDeath-associated protein 6BiogenesisNuclear proteinGeneticsTranscription factorUbiquitinGene

Abstract

fetched live from OpenAlex

Abstract Promyelocytic leukemia nuclear bodies (PML NBs) are membraneless organelles (0.1-1 μ m) integral to fundamental cellular processes, yet the molecular logic governing their hierarchical organization is unclear. Contrary to the classical "PML-sole-scaffold" model, we identify Sp100-HMG as the unique isoform that autonomously nucleates into liquid-like condensates. Our findings establish an "inside-out" assembly paradigm, where Sp100-HMG initiates a liquid core that recruits PML and other client proteins (DAXX, ATRX) through three distinct cooperative processes: I. Multimerization domain- and intrinsically disordered region (IDR)-mediated LLPS of Sp100-HMG, nucleating the core; II. C-terminal-dependent protein-protein interactions enriching client components; and III. SUMOylation-directed PML recruitment, facilitating the formation of a stabilizing peripheral shell. This assembly paradigm extends beyond Sp100-HMG, as evidenced by ZBTB16—a PML NB-associated oncoprotein implicated in acute promyelocytic leukemia — adopting an analogous mechanism to organize PML-positive condensates. Using HEp-2 cells as a main model, we show this hierarchical assembly is critical for orchestrating transcriptional programs and cell-cycle dynamics. Together, our study defines a new biogenesis mode for PML-NBs, where a master liquid nucleator coordinates shell integrity and plasticity for nuclear homeostasis. Significance Statement PML nuclear bodies (PML NBs) serve as essential organizers of the cell nucleus, yet the assembly principles underlying their biogenesis and linking it to functional heterogeneity, spatial positioning, and compositional diversity remain elusive. This study overturns the long-standing "PML-centric" view by establishing an LLPS-driven, hierarchical "inside-out" assembly paradigm. We identify Sp100-HMG as a master liquid nucleator that initiates a core to organize the outer PML shell. This inner-core LLPS-driven assembly logic is shared by other PML NB-associated factors, such as the oncoprotein ZBTB16, providing a unified biophysical framework to explain the structural integrity and plasticity of nuclear condensates. Functionally, this organizational process is critical for shaping the compositional diversity and spatial specificity of PML bodies, thereby modulating transcriptional programs and cell-cycle dynamics in a context-dependent manner. These findings offer broad insights into how organized protein condensation sustains nuclear homeostasis and its dysfunction in diseases such as leukemia.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.009
GPT teacher head0.236
Teacher spread0.227 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes1
Has abstractyes

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