NMR Experiments for Studies of Dilute and Condensed Protein Phases: Application to the Phase-Separating Protein CAPRIN1
Bibliographic record
Abstract
Intrinsically disordered proteins (IDPs) or regions of intrinsic disorder in otherwise folded proteins (IDRs) play important roles in many different biological processes, including formation of biological condensates via liquid–liquid phase separation. NMR spectroscopy is a powerful tool for obtaining site-specific structural and dynamical information on IDPs/IDRs, and recent efforts have focused on the development of experiments for atomic-resolution studies of these molecules. These include triple-resonance experiments that are based on 13CO-direct detection of magnetization, exploiting increased sensitivity of cryogenically cooled probes. In order to evaluate the different classes of experiment for studies of IDRs or IDPs in both dilute and phase-separated environments, in particular at neutral and higher pHs where many of these proteins phase separate, we compared 13CO-detect versus 1Hα-detect experiments, showing that significant sensitivity gains are achieved via proton detection under the conditions of our experiments. A suite of 1Hα-detect experiments was subsequently developed for studies of IDPs/IDRs and applied to the dilute phase of a 103-residue disordered region of CAPRIN1 that phase separates at neutral pH. Residue-specific chemical shifts derived from our study enable the accurate prediction of the importance of the N-terminal Arg-containing region of this construct for promoting phase separation relative to other Arg-rich stretches of sequence, subsequently confirmed by mutagenesis. Our study emphasizes that the sequence positions of key residues can be a critical factor in controlling phase separation and highlights the unique role of NMR in establishing the relations between amino acid sequence and phase-separation propensity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".