Studying Cellular Focal Adhesion Parameters with Imaging and MATLAB Analysis.

Cell signaling is highly integrated for the process of various cell activities. Although previous studies have shown how individual genes contribute to cell migration, it remains unclear how the integration of these signaling pathways is involved in the modulation of cell migration. In our two-hit migration screen, we revealed that serine-threonine kinase 40 (STK40) and mitogen-activated protein kinase (MAPK) worked synergistically, and the suppression of both genes could further lead to suppression in cell migration. Furthermore, based on our analysis of cellular focal adhesion (FA) parameters using MATLAB analysis, we are able to find out the synergistic reduction of STK40 and MAPK that further abolished the increased FA by shSTK40. While FA identification in previous studies includes image analysis using manual selection, our protocol provides a semi-automatic manual selection of FAs using MATLAB. Here, we provide a method that can shorten the amount of time required for manual identification of FAs and increase the precision for discerning individual FAs for various analyses, such as FA numbers, area, and mean signals.

Antagonism between Prdm16 and Smad4 specifies the trajectory and progression of pancreatic cancer.

The transcription factor Prdm16 functions as a potent suppressor of transforming growth factor-beta (TGF-ß) signaling, whose inactivation is deemed essential to the progression of pancreatic ductal adenocarcinoma (PDAC). Using the KrasG12D-based mouse model of human PDAC, we surprisingly found that ablating Prdm16 did not block but instead accelerated PDAC formation and progression, suggesting that Prdm16 might function as a tumor suppressor in this malignancy. Subsequent genetic experiments showed that ablating Prdm16 along with Smad4 resulted in a shift from a well-differentiated and confined neoplasm to a highly aggressive and metastatic disease, which was associated with a striking deviation in the trajectory of the premalignant lesions. Mechanistically, we found that Smad4 interacted with and recruited Prdm16 to repress its own expression, therefore pinpointing a model in which Prdm16 functions downstream of Smad4 to constrain the PDAC malignant phenotype. Collectively, these findings unveil an unprecedented antagonistic interaction between the tumor suppressors Smad4 and Prdm16 that functions to restrict PDAC progression and metastasis.

Synthetic dysmobility screen unveils an integrated STK40-YAP-MAPK system driving cell migration.

Integrating signals is essential for cell survival, leading to the concept of synthetic lethality. However, how signaling is integrated to control cell migration remains unclear. By conducting a "two-hit" screen, we revealed the synergistic reduction of cell migration when serine-threonine kinase 40 (STK40) and mitogen-activated protein kinase (MAPK) were simultaneously suppressed. Single-cell analyses showed that STK40 knockdown reduced cell motility and coordination by strengthening focal adhesion (FA) complexes. Furthermore, STK40 knockdown reduced the stability of yes-associated protein (YAP) and subsequently decreased YAP transported into the nucleus, while MAPK inhibition further weakened YAP activities in the nucleus to disturb FA remodeling. Together, we unveiled an integrated STK40-YAP-MAPK system regulating cell migration and introduced "synthetic dysmobility" as a novel strategy to collaboratively control cell migration.

Fibroblast Growth Factor Receptor Inhibitors Reduce Adipogenesis of Orbital Fibroblasts and Enhance Myofibroblastic Differentiation in Graves' Orbitopathy.

Purpose: Orbital fibroblasts are involved in pathogenesis of Graves' orbitopathy (GO). Fibroblast growth factor (FGF) affects fibroblasts of GO. This study aims to investigate the roles of FGF and FGF receptor (FGFR) in GO.Methods: Serum FGF proteins and orbital fibroblast FGFR proteins and mRNAs were measured in GO patients and controls. Orbital fibroblasts of GO were cultured and accessed for changes in proliferation (by nuclei number and MTT), myofibroblastic differentiation (by α-SMA), and adipogenesis (by oil droplets using Oil Red O stain) under FGF1 with or without FGFR inhibitors (FGFRi).Results: Serum FGF1 and FGF2 were increased in GO patients. FGFR1 was the most abundantly expressed FGFR in GO orbital fibroblasts. FGF1 increased GO fibroblast proliferation/adipogenesis and suppressed myofibroblastic differentiation, while FGFRi reversed these effects.Conclusion: FGF signaling may be involved in GO pathogenesis. Manipulation of FGF-FGFR pathway for GO treatment is worthy of further investigation.Registration number on Clinicaltrials.gov: NCT03324022.

Structural Characterization of the CD44 Stem Region for Standard and Cancer-Associated Isoforms.

CD44 is widely expressed in most vertebrate cells, whereas the expression of CD44v6 is restricted to only a few tissues and has been considered to be associated with tumor progression and metastasis. Thus, CD44v6 has been recognized as a promising prognostic biomarker and therapeutic target for various cancers for more than a decade. However, despite many experimental studies, the structural dynamics and differences between CD44s and CD44v6, particularly in their stem region, still remain elusive. Here, a computational study was conducted to address these problems. We found that the stem of CD44s adopted predominantly two conformations, one featuring antiparallel ß-sheets and the other featuring parallel ß-sheets, whereas the stem of CD44v6 adopted mainly one conformation with relatively highly suppressed ß-sheet contents. Moreover, Phe215 was found to be essential in the ß-sheets of both CD44s and CD44v6. We finally found intramolecular Phe215-Trp224 hydrogen-bonding interactions and hydrophobic interactions with Phe215 that cooperatively drove conformational differences upon the addition of the v6 region to CD44. Our study elucidated the structural differences between the stem regions of CD44s and CD44v6 and thus can offer useful structural information for drug design to specifically target CD44v6 in promising clinical applications.