Unfolding the complexities of ER chaperones in health and disease: report on the 11th international calreticulin workshop
Bibliographic record
Abstract
The 11th International Calreticulin workshop was held May 15-18, 2015 at New York University School of Medicine-Langone Medical Center, New York. The meeting highlighted many of the new discoveries in the past 2 years involving the important role of molecular chaperones in physiological and pathological processes. Crucial to the understanding of these disease processes was the role of chaperones in maintaining quality control of protein processing in the endoplasmic reticulum, the importance of Ca(2) regulation acting through its action in stress-related diseases, and the trafficking of glycoproteins to the cell surface. Central to maintaining healthy cell physiology is the correct ER-associated protein degradation of specific misfolded proteins. Information on different mechanisms involved in the degradation of misfolded proteins was revealed. This was a landmark meeting for the chaperone field in terms of new insights into their roles in physiology. These insights included the unfolded protein response, innate/adaptive immunity, tissue repair, the functions of calreticulin/chaperones from the cell surface, and extracellular environment. Diseases included neurodegenerative disorders, prion disease, autoimmunity, fibrosis-related disease, the host immune response to cancer, and hematologic diseases associated with calreticulin mutations. The 12th calreticulin workshop is planned for the spring of 2017 in Delphi, Greece.
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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 | 0.008 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 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".