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Biology subjects

Thakar, D.

Publications and source records attributed to Thakar, D..

3 recordsLinked to original sources

Single molecule Grb2 dynamics reveal spatiomechanical modulation of RTK signaling across length scales

Extracellular matrix (ECM)-mediated cell adhesion and tension regulate development and disease through crosstalk with Receptor Tyrosine Kinases (RTKs). RTKs stimulate proliferation, survival, and metabolic reprogramming via Ras/ERK and PI3K/Akt signaling. Emerging evidence identify the biophysical and biochemical integration of integrin-mediated adhesions with RTK signaling, however, the molecular mechanisms regulating this phenotype remain poorly understood. Here, we demonstrate that ECM stiffness potentiates ligand-mediated epidermal growth factor receptor (EGFR) signaling at scales ranging from the single adaptor protein, Grb2 upward to multicellular spheroids and tissues. We show that ECM stiffness-driven RTK signaling is mediated by integrin adhesions that reshape the membrane to induce the formation of RTK signaling hotspots distributed globally across the cell membrane. A parsimonious computational model and biochemical membrane perturbations causally implicate membrane curvature and topography in tension-dependent integrin-EGFR crosstalk. The results demonstrate how the mechanical properties of the ECM direct molecular recruitment and confinement of signaling molecules to regulate growth factor-dependent RTK signaling. Given that many RTK-driven solid tumors develop a stiff stroma, the findings could explain why many therapeutic tyrosine kinase inhibitors develop clinical resistance. The findings suggest clarifying how tension regulates transmembrane receptor signaling could identify unique force-dependent molecular regulators towards which new antitumor therapies could be applied.

biophysics↗

Magnitude and Kinetics of a set of Neuroanatomic Volume and Thickness together with White Matter Hyperintensity is definitive of Cognitive Status and Brain Age

In an aging population, a subset of individuals at a given age group have low white matter hyperintensity (WMH) while another subset has intermediate to high WMH load. WMH load quantification together with comprehensive neuroanatomic volumetry needs to be examined together for establishing a unique precise and optimal number of brain features as a noninvasive indicator of Brain Age and cognitive status. Here, a comprehensive neuroanatomic volumetry together with WMH quantification using longitudinal MRI and cognitive measurements from two aging cohorts have been performed together with machine learning modeling of the quantitative changes with aging to establish Optimal unique brain events discriminative of cognitive status and estimative of Brain Age. A set of Three optimal brain-associated quantities; wherein two are neuroanatomic features Total brain volume; CSF volume, and the third is the extent of microvascular pathology WMH load, provide highly precise discrimination of cognitive status as cognitively normal (CN), impaired (CI) and AD (CI-AD). While medial cortical thinning of Parahippocampal gyrus is an early age event discriminative between CI and CI-AD but loss of hippocampus, gray matter and white matter volume lacks sensitivity to discriminate between CI and CI-AD. The Brain Age estimation using the neuroanatomic volumetry and periventricular and deep WMH load indicates that elevated WMH load in the brain led to an increased Brain Age gap than the brain with low WMH at a given chronological age. Increased Brain Age gap with elevated WMH load at the early age groups is suggestive of profound vascular insult arising from WMH to the brain structure and function.

neuroscience↗

Mechanosensitive hormone signaling promotes mammary progenitor expansion and breast cancer progression

Tissue stem-progenitor cell frequency has been implicated in tumor risk and progression. Tissue-specific factors linking stem-progenitor cell frequency to cancer risk and progression remain ill defined. Using a genetically engineered mouse model that promotes integrin mechanosignaling with syngeneic manipulations, spheroid models, and patient-derived xenografts we determined that a stiff extracellular matrix and high integrin mechanosignaling increase stem-progenitor cell frequency to enhance breast tumor risk and progression. Studies revealed that high integrin-mechanosignaling expands breast epithelial stem-progenitor cell number by potentiating progesterone receptor-dependent RANK signaling. Consistently, we observed that the stiff breast tissue from women with high mammographic density, who exhibit an increased lifetime risk for breast cancer, also have elevated RANK signaling and a high frequency of stem-progenitor epithelial cells. The findings link tissue fibrosis and integrin mechanosignaling to stem-progenitor cell frequency and causally implicate hormone signaling in this phenotype. Accordingly, inhibiting RANK signaling could temper the tumor promoting impact of fibrosis on breast cancer and reduce the elevated breast cancer risk exhibited by women with high mammographic density. SummaryElevated mechano-signaling and matrix stiffness promote progesterone and RANK mediated expansion of mammary progenitors and breast cancer risk and progression.

cancer biology↗