Novel Role for a <i>Saccharomyces cerevisiae</i> Nucleoporin, Nup170p, in Chromosome Segregation
Bibliographic record
Abstract
We determined that a mutation in the nucleoporin gene NUP170 leads to defects in chromosome transmission fidelity (ctf) and kinetochore integrity in Saccharomyces cerevisiae. A ctf mutant strain, termed s141, shows a transcription readthrough phenotype and stabilizes a dicentric chromosome fragment in two assays for kinetochore integrity. Previously, these assays led to the identification of two essential kinetochore components, Ctf13p and Ctf14p. Thus, s141 represents another ctf mutant involved in the maintenance of kinetochore integrity. We cloned and mapped the gene complementing the ctf mutation of s141 and showed that it is identical to the S. cerevisiae NUP170 gene. A deletion strain of NUP170 (nup170 Delta::HIS3) has a Ctf(-) phenotype similar to the s141 mutant (nup170-141) and also exhibits a kinetochore integrity defect. We identified a second nucleoporin, NUP157, a homologue of NUP170, as a suppressor of the Ctf(-) phenotype of nup170-141 and nup170 Delta::HIS3 strains. However, a deletion of NUP157 or several other nucleoporins did not affect chromosome segregation. Our data suggest that NUP170 encodes a specialized nucleoporin with a unique role in chromosome segregation and possibly kinetochore function.
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 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 | 0.000 |
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.
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".