Rab7 and Arl8 <scp>GTPases</scp> are Necessary for Lysosome Tubulation in Macrophages
Why this work is in the frame
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Bibliographic record
Abstract
Lysosomes provide a niche for molecular digestion and are a convergence point for endocytic trafficking, phagosome maturation and autophagy. Typically, lysosomes are small, globular organelles that appear punctate under the fluorescence microscope. However, activating agents like phorbol esters transform macrophage lysosomes into tubular lysosomes (TLs), which have been implicated in retention of pinocytic uptake and phagosome maturation. Moreover, dendritic cells exposed to lipopolysaccharides (LPSs) convert their punctate class II major histocompatibility complex compartment, a lysosome-related organelle, into a tubular network that is thought to be involved in antigen presentation. Other than a requirement for microtubules and kinesin, little is known about the molecular mechanisms that drive lysosome tubulation. Here, we show that macrophage cell lines readily form TLs after LPS exposure, with a requirement for the Rab7 GTPase and its effectors RILP (Rab7-interacting lysosomal protein) and FYCO1 (coiled-coil domain-containing protein 1), which respectively modulate the dynein and kinesin microtubule motor proteins. We also show that Arl8B, a recently identified lysosomal GTPase, and its effector SKIP, are also important for TL biogenesis. Finally, we reveal that TLs are significantly more motile than punctate lysosomes within the same LPS-treated cells. Therefore, we identify the first molecular regulators of lysosome tubulation and we show that TLs represent a more dynamic lysosome population.
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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 it