Proteomic Analysis of SRm160-containing Complexes Reveals a Conserved Association with Cohesin
Bibliographic record
Abstract
In this study, we describe a rapid immunoaffinity purification procedure for gel-free tandem mass spectrometry-based analysis of endogenous protein complexes and apply it to the characterization of complexes containing the SRm160 (serine/arginine repeat-related nuclear matrix protein of 160 kDa) splicing coactivator. In addition to promoting splicing, SRm160 stimulates 3'-end processing via its N-terminal PWI nucleic acid-binding domain and is found in a post-splicing exon junction complex that has been implicated in coupling splicing with mRNA turnover, export, and translation. Consistent with these known functional associations, we found that the majority of proteins identified in SRm160-containing complexes are associated with pre-mRNA processing. Interestingly, SRm160 is also associated with factors involved in chromatin regulation and sister chromatid cohesion, specifically the cohesin subunits SMC1alpha, SMC3, RAD21, and SA2. Gradient fractionation suggested that there are two predominant SRm160-containing complexes, one enriched in splicing components and the other enriched in cohesin subunits. Co-immunoprecipitation and co-localization experiments, as well as combinatorial RNA interference in Caenorhabditis elegans, support the existence of conserved and functional interactions between SRm160 and cohesin.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".