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Fine, B. M.

Publications and source records attributed to Fine, B. M..

2 recordsLinked to original sources

The nucleus activates mechano-responsiveness via FHOD-associated LINC complexes

The nucleus is the defining organelle of eukaryotic cells. It is usually considered a target organelle for cellular inputs. Here, we find that the nucleus is not simply a "passive" responder, but an active organelle directing the mechanical properties of the actin cytoskeleton it engages. Biochemically, interaction of FHOD formins with nesprin-2 of the nuclear LINC complex activates their actin bundling activity making them more potent than known bundlers like fascin or -actinin. In cells, FHOD-associated LINC complexes enhance the mechanical resistance of nuclear-engaged actin cables in polarizing fibroblasts and sarcomeres in developing cardiomyocytes. Hypertrophic cardiomyopathy-associated variants of FHOD3 are defective in these processes. In mice, the FHOD3 R637P disease-causing allele results in embryonic lethality when homozygous and in stress-induced cardiac hypertrophy when heterozygous. These results show that the nucleus actively directs its mechanical environment and that disruption of this capability in heart leads to cardiac hypertrophy.

cell biology↗

cohorts: A Python package for clinical ‘omics data management

SummaryPrecision medicine uses patient clinical and molecular characteristics to personalize diagnosis and treatment. This emerging discipline integrates multi-modal data into large-scale studies of human disease to make accurate individual-level predictions. The success of these studies will depend on the generalizability of the results, the ability of other researchers and clinicians to replicate studies, and the understandability of the methods used. Tools for data management and standardization are needed to promote flexible, transparent, and reproducible analyses. Here we present cohorts, a python package facilitating clinical and biomarker data management to enhance standardization and reproducibility of clinical findings.\n\nAvailabilityThe python package cohorts is available at http://www.github.com/ngiangre/cohorts.\n\nCONTACTNPT2105@CUMC.COLUMBIA.EDU

bioinformatics↗