Dynamics of allosteric activation in PLC‐γ isozymes
Bibliographic record
Abstract
The PLC‐γ isozymes (‐γ1, ‐γ2) hydrolyze the minor membrane phospholipid phosphatidylinositol 4,5‐bisphosphate (PIP 2 ) into the second messengers diacylglycerol and inositol 1,4,5‐trisphosphate to control diverse biological processes including chemotaxis, vascular development, and immune function. In contrast, mutant forms of the PLC‐γ isozymes that are constitutively active promote autoimmune disorders and cancer. For example, PLC‐γ1 is the most frequently (~40%) mutated gene in patients with adult T‐cell leukemia/lymphoma. However, despite widespread appreciation of the PLC‐γ isozymes in diverse biological processes, their regulation remains poorly understood. We recently determined the crystal structure of full‐length PLC‐γ1 at high resolution. The structure highlights a conserved catalytic core blocked from accessing membranes by a regulatory array unique to the PLC‐γ isozymes. Within the regulatory array, an N‐terminal SH2 (nSH2) domain is arranged to engage phosphorylated portions of tyrosine kinases. Complex formation facilitates the recruitment of PLC‐γ1 to membranes and the phosphorylation of Tyr783, also within the regulatory array. In contrast to the nSH2 domain, the equivalent surface of the C‐terminal SH2 (cSH2) domain is blocked by interactions with the catalytic core. Nonetheless, this surface must bind phosphorylated Tyr783 for lipase activation. We hypothesize that engagement of a kinase to the nSH2 domain propagates structural alterations into the cSH2 domain that destabilize its interactions with the catalytic core thus priming it to bind phosphorylated Tyr783. This interaction presumably leads to a larger rearrangement of the regulatory array relative to the catalytic core necessary for membrane engagement and PIP 2 hydrolysis. This hypothesis is supported by alterations highlighted in the structural comparison of full‐length PLC‐γ1 with a pre‐existing structure of the two SH2 domains bound to the kinase domain of fibroblast growth factor receptor 1 (FGFR1K). To test this hypothesis, we used a fluorogenic PIP 2 analog and hydrogen‐deuterium exchange coupled to mass spectrometry to assess activity and structural changes in PLC‐γ1 upon engagement of FGFR1K, respectively. Here we show that binding of FGFR1K to PLC‐γ1 increases deuterium incorporation within the interface between the regulatory array and the catalytic core suggesting that interaction of FGFR1K and PLC‐γ1 disrupts autoinhibition. The addition of liposomes further increases deuterium incorporation within the same region suggesting that membranes reinforce this disruption. Similar, but more dramatic increases in deuterium incorporation were observed for the cancer‐associated and constitutively active variant, PLC‐γ1 (D1165H). Finally, we show that a two‐fold molar excess of FGFR1K relative to PLC‐γ1 increased lipase activity up to three‐fold. Taken together, these data strongly suggest that kinases shift the conformational equilibrium of PLC‐γ isozymes to facilitate access and hydrolysis of membrane‐resident PIP 2 . This allosteric effect is recapitulated by oncogenic mutations and reinforced by membranes. Support or Funding Information This work was supported by NIH Grant R01‐GM057391 (J.S.). E.S‐P. was supported by an NSF GRF under Grant DGE‐1650116.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".