<i>In Situ</i> Investigation of Mammalian Inorganic Polyphosphate Localization Using Novel Selective Fluorescent Probes JC-D7 and JC-D8
Bibliographic record
Abstract
Inorganic polyphosphate (polyP) is a polymer composed of many orthophosphates linked together by phosphoanhydride bonds. Recent studies demonstrate that in addition to its important role in the function of microorganisms, polyP plays multiple important roles in the pathological and physiological function of higher eukaryotes, including mammalians. However, due to the dramatically lower abundance of polyP in mammalian cells when comparing to microorganisms, its investigation poses an experimental challenge. Here, we present the identification of novel fluorescent probes that allow for specific labeling of synthetic polyP in vitro as well as endogenous polyP in living cells. These probes demonstrate high selectivity for the labeling of polyP that was not sensitive to a number of ubiquitous organic polyphosphates, notably RNA. Use of these probes allowed us to demonstrate the real time detection of polyP release from lysosomes in live cells. Furthermore, we have been able to detect the increased levels of polyP in cells with Parkinson's disease related mutations.
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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 | 0.000 |
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".