Mechanobiology Gene Review Project
Bottom line: cells sense stiffness, shear, stretch, compression and
membrane tension through channels such as PIEZO1, integrin adhesions, the
nuclear lamina and the YAP/TAZ pathway, and GO annotations in this area mix
genuine sensors with generic adhesion, cytoskeleton and ECM terms. This page
defines the scope for reviewing that gene set: inclusion criteria, six
sensor-to-modifier modules, 30 candidate genes in five review batches, and
the stimulus -> sensor -> downstream axis -> phenotype chain each review
should record. We scoped it this way so that reviews separate the few direct
mechanosensors from the many downstream effectors and ECM genes that are easy
to over-annotate with response to mechanical stimulus. Scoped, not yet
started: none of the Batch A to D genes (PIEZO1/2, TRPV4, PKD1/2, the
integrin adhesome, LINC complex or Hippo effectors) has a review in the repo.
Four Batch E matrix genes (FN1, LOX, SPARC, DCN) have human reviews made for
other purposes, covering 355 annotations, but none has been assessed against
this project's mechanical-chain questions.
Scope
This project reviews genes whose core function is to sense mechanical cues, transmit force-dependent signals, or reshape the mechanical microenvironment in ways that drive reproducible biological outcomes.
This scaffold was informed by cmungall/stuff#671, but the project stays deliberately narrower and more practical than the grant-style framing in that issue:
- focus on reviewable genes, evidence-backed mechanisms, and curation outputs
- use disease relevance to prioritize batches, not to over-claim translational impact
- treat ontology or knowledge-graph follow-up as optional downstream outputs, not the primary deliverable
Operationally, each reviewed gene should be placed in a concrete chain:
mechanical stimulus -> sensor/transducer -> downstream axis -> phenotype/context
Practical inclusion criteria
Include genes when there is evidence for one or more of the following:
- direct sensing of membrane tension, stretch, shear, compression, or osmotic/mechano-osmotic change
- force transmission through adhesions, cortex, cytoskeleton, primary cilium, or nucleus
- robust mechanosensitive downstream signaling repeatedly tied to defined mechanical contexts
- active remodeling of ECM stiffness/compliance or tissue mechanics that is central to the gene's biological role
Deprioritize genes when they are only:
- generic proliferation, migration, or stress-response genes without a defined mechanical trigger
- broad ECM structural components with no mechanotransduction-specific evidence
- one-off assay hits from poorly defined stretching/stiffness systems
Mechanical stimulus space to capture explicitly
- Matrix stiffness / compliance: soft vs stiff substrate responses, durotaxis, fibrotic stiffening
- Fluid shear stress: endothelial flow sensing, tubular flow, ciliary flow detection
- Tensile stretch / cyclic stretch: muscle, lung, vessel wall, epithelium
- Compression / confinement: cartilage, tumor growth, nuclear squeezing during migration
- Membrane tension: channel gating, blebbing, osmotic swelling, cell shape change
- Cell crowding / packing forces: contact-dependent YAP/TAZ control, epithelial jamming
- Topography / curvature: force-sensitive adhesion and cytoskeletal organization
Candidate mechanosensor and transduction modules
1. Direct or near-direct mechanical sensors
- PIEZO1, PIEZO2: canonical mechanically activated ion channels
- TRPV4: osmotic and mechanical channel with recurring roles in cartilage, vasculature, and fibrosis-related signaling
- PKD1, PKD2: flow/ciliary mechanosensation candidates with strong kidney/cilia relevance
2. Adhesion and focal-adhesion force coupling
- ITGB1, ITGA5: integrin-mediated ECM force coupling
- TLN1, VCL, PXN, ILK, PTK2/FAK1: adhesion proteins that convert load-bearing contacts into signaling outputs
3. Cytoskeletal force transmission
- RHOA, ROCK1, ROCK2: contractility and cortical tension axis
- ACTN1, ACTN4, FLNA, MYH9, MYH10: actomyosin-linked mechanical response machinery
4. Nuclear mechanotransmission
- LMNA: nuclear lamina stiffness and force buffering
- SYNE1, SYNE2, SUN1, SUN2, EMD: LINC/nuclear-envelope components transmitting cytoskeletal force to the nucleus
5. Downstream mechanosensitive effectors
- YAP1, WWTR1 (TAZ), LATS1, LATS2: Hippo-linked mechanical state readout
- MAPK1, MAPK3, MTOR, MRTFA, SRF: common downstream axes that often need careful specificity in curation
- SMAD2, SMAD3, TGFB1, CTGF/CCN2: stiffness/fibrosis-linked outputs that should usually be treated as downstream context, not primary sensors
6. Mechanical microenvironment modifiers
- FN1, LOX, COL1A1, SPARC, DCN: ECM regulators that can change tissue stiffness and feed back onto mechanosensing
- These belong in scope only when the mechanical consequence is central, not merely because they are ECM genes
Suggested first review batches
Batch A: canonical direct mechanosensors
- PIEZO1
- PIEZO2
- TRPV4
- PKD1
- PKD2
Batch B: integrin-adhesome force transduction
- ITGB1
- ITGA5
- TLN1
- VCL
- PTK2
- PXN
Batch C: nucleus-cytoskeleton coupling
Batch D: downstream mechanical state effectors
- YAP1
- WWTR1
- LATS1
- LATS2
- RHOA
- ROCK1
- ROCK2
Batch E: matrix stiffening and fibrosis anchor genes
Downstream axes to record in reviews
When a gene is in scope, reviewers should try to capture which of these axes is actually supported:
- Ca2+ influx and ion-channel signaling
- RhoA/ROCK-actomyosin contractility
- Hippo/YAP/TAZ nuclear localization or transcriptional output
- FAK/Src/MAPK signaling
- mTOR / growth-state coupling
- TGF-beta / SMAD fibrotic remodeling
- Endothelial flow programs such as KLF2/KLF4/NOS3
- Migration / invasion / EMT-like programs when clearly tied to force context
Disease and tissue anchors for prioritization
These are useful anchors for choosing batches, but should not become hype-driven claims:
- Fibrosis: lung, liver, heart, kidney; matrix stiffening and feed-forward myofibroblast activation
- Cancer invasion and metastasis: confinement, adhesion turnover, ECM remodeling, YAP/TAZ programs
- Cardiovascular and endothelial biology: shear stress, stretch, cardiac remodeling
- Kidney and cilia-linked mechanosensation: flow detection and tubular phenotypes
- Cartilage, bone, tendon, and muscle: load-bearing mechanobiology
Expected outputs
- a reviewed starter set of high-confidence mechanobiology genes in
genes/<organism>/<gene>/ - a project-level summary table linking stimulus, sensor/transducer class, downstream axis, and phenotype
- a shortlist of over-annotation patterns or recurrent GO term pain points in mechanobiology curation
- possible pathway-style summary pages once the first review batches stabilize
- optional bioinformatics sidecars only where they answer a concrete curation question
Questions to keep asking during curation
- Is this gene a direct mechanosensor, a force-transducing component, a downstream effector, or a mechanical-context modifier?
- What is the actual stimulus: stiffness, shear, stretch, compression, membrane tension, osmotic change, or something more indirect?
- Is the evidence from a defined mechanical perturbation, or just from a generic migration/adhesion assay?
- Is the reported function likely cell-type or tissue specific?
- Are existing annotations too broad, especially around
cell adhesion,ECM organization,actin binding,response to mechanical stimulus, or generic signaling terms? - Does the paper support a core function, a conditional context-specific role, or only a disease-associated correlation?
Guardrails
- Do not treat every ECM or cytoskeletal gene as mechanobiology by default.
- Do not elevate downstream fibrosis or cancer markers into "mechanosensors" unless the upstream mechanical link is demonstrated.
- Prefer a smaller, well-argued starter set over a sprawling catch-all list.
- Only propose ontology or schema extensions after repeated curation pain points appear across reviewed genes.
How issue #671 influenced this framing
The issue materially improved the scaffold in four ways:
- It expanded the project from a narrow ECM/stiffness idea into a fuller mechanical landscape including shear, tension, compression, membrane tension, and osmotic pressure.
- It surfaced a practical shortlist of mechanobiology anchor classes: Piezo channels, integrin/adhesion machinery, nuclear lamins, and YAP/TAZ-linked signaling.
- It pushed the framing toward explicit
stimulus -> sensor -> downstream phenotypechains rather than a flat list of "mechanics-related genes." - It suggested useful disease anchors and outputs, especially fibrosis, cancer invasion, and cardiovascular remodeling.
What was intentionally not adopted from the issue as a primary goal:
- a new mechanobiology ontology
- a large AI extraction platform
- broad therapeutic-discovery claims
Those may become relevant later, but the present project is first a grounded curation and synthesis effort for ai-gene-review.
Source input
- Key ideation source: cmungall/stuff issue #671, fetched 2026-04-11
Slides
- Slides (Marp source: MECHANOBIOLOGY-slides.md) — AI generated