Mechanotransduction is a process where cells sense their surroundings and convert the physical forces in their environment into an appropriate response. Calcium plays a crucial role in the translation of such forces to biochemical signals that control various biological processes fundamental in muscle development. The mechanical stimulation of muscle cells may for example result from stretch, electric and magnetic stimulation, shear stress, and altered gravity exposure. The response, mainly involving changes in intracellular calcium concentration then leads to a cascade of events by the activation of downstream signaling pathways. The key calcium-dependent pathways described here include the nuclear factor of activated T cells (NFAT) and mitogen-activated protein kinase (MAPK) activation. The subsequent effects in cellular homeostasis consist of cytoskeletal remodeling, cell cycle progression, growth, differentiation, and apoptosis, all necessary for healthy muscle development, repair, and regeneration. A deregulation from the normal process due to disuse, trauma, or disease can result in a clinical condition such as muscle atrophy, which entails a significant loss of muscle mass. In order to develop therapies against such diseased states, we need to better understand the relevance of calcium signaling and the downstream responses to mechanical forces in skeletal muscle. The purpose of this review is to discuss in detail how diverse mechanical stimuli cause changes in calcium homeostasis by affecting membrane channels and the intracellular stores, which in turn regulate multiple pathways that impart these effects and control the fate of muscle tissue.

/pdf/calcium-s-role-in-mechanotransduction-during-muscle-1ndvz8tyih.pdf

Calcium's Role in Mechanotransduction during Muscle Development

Triple-negative breast cancer (TNBC) is a highly diverse group of cancers, and subtyping is necessary to better identify molecular-based therapies. In this study, we analyzed gene expression (GE) profiles from 21 breast cancer data sets and identified 587 TNBC cases. Cluster analysis identified 6 TNBC subtypes displaying unique GE and ontologies, including 2 basal-like (BL1 and BL2), an immunomodulatory (IM), a mesenchymal (M), a mesenchymal stem–like (MSL), and a luminal androgen receptor (LAR) subtype. Further, GE analysis allowed us to identify TNBC cell line models representative of these subtypes. Predicted “driver” signaling pathways were pharmacologically targeted in these cell line models as proof of concept that analysis of distinct GE signatures can inform therapy selection. BL1 and BL2 subtypes had higher expression of cell cycle and DNA damage response genes, and representative cell lines preferentially responded to cisplatin. M and MSL subtypes were enriched in GE for epithelial-mesenchymal transition, and growth factor pathways and cell models responded to NVP-BEZ235 (a PI3K/mTOR inhibitor) and dasatinib (an abl/src inhibitor). The LAR subtype includes patients with decreased relapse-free survival and was characterized by androgen receptor (AR) signaling. LAR cell lines were uniquely sensitive to bicalutamide (an AR antagonist). These data may be useful in biomarker selection, drug discovery, and clinical trial design that will enable alignment of TNBC patients to appropriate targeted therapies.

/pdf/identification-of-human-triple-negative-breast-cancer-3rvotimac1.pdf

Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies

Three-dimensional (3D) cell culture systems have gained increasing interest in drug discovery and tissue engineering due to their evident advantages in providing more physiologically relevant information and more predictive data for in vivo tests. In this review, we discuss the characteristics of 3D cell culture systems in comparison to the two-dimensional (2D) monolayer culture, focusing on cell growth conditions, cell proliferation, population, and gene and protein expression profiles. The innovations and development in 3D culture systems for drug discovery over the past 5 years are also reviewed in the article, emphasizing the cellular response to different classes of anticancer drugs, focusing particularly on similarities and differences between 3D and 2D models across the field. The progression and advancement in the application of 3D cell cultures in cell-based biosensors is another focal point of this review.

/pdf/three-dimensional-cell-culture-systems-and-their-2yirqbq9ul.pdf

Three-Dimensional Cell Culture Systems and Their Applications in Drug Discovery and Cell-Based Biosensors

Breast cancer is a complex and heterogeneous disease. Gene expression profiling has contributed significantly to our understanding of this heterogeneity at a molecular level, refining taxonomy based on simple measures such as histological type, tumour grade, lymph node status and the presence of predictive markers like oestrogen receptor and human epidermal growth factor receptor 2 (HER2) to a more sophisticated classification comprising luminal A, luminal B, basal-like, HER2-positive and normal subgroups. In the laboratory, breast cancer is often modelled using established cell lines. In the present review we discuss some of the issues surrounding the use of breast cancer cell lines as experimental models, in light of these revised clinical classifications, and put forward suggestions for improving their use in translational breast cancer research.

/pdf/choosing-the-right-cell-line-for-breast-cancer-research-2vywvl4eet.pdf

Choosing the right cell line for breast cancer research

The extracellular matrix in development and morphogenesis: a dynamic view.

Mutations in photoreceptor-enriched genes have been implicated in dozens of human retinal diseases, yet no systematic analysis of rod and cone gene expression patterns has been carried out. In addition, although cone photoreceptor loss accounts for much of the morbidity of retinal disease, relatively few cone-specific genes are known. In this study, we carried out microarray and in situ hybridization analyses of the mouse Neural retina leucine zipper gene (Nrl) mutant, which shows an en masse conversion of rods into cones, to establish a typology of photoreceptor gene expres- sion and to identify novel cone-specific genes. We found a total of 18 new cone-enriched genes, some of which map near uncloned retinal disease loci. Several of these genes have a dorsal-ventral (D-V) pattern of expression similar to that of short- or medium- wavelength opsins. We carried out microarray analysis of dorsal and ventral microdissected WT retina and found additional pho- toreceptor genes with an asymmetric distribution. Overall, we found that photoreceptor genes fall on an expression spectrum from rod-specific to cone-specific, with many showing varying degrees of rod and cone coexpression. These expression patterns can be reliably predicted from microarray data alone. Our results demonstrate definitive molecular differences between rods and cones that may underlie the physiological differences between these two classes of photoreceptors. blindness cone photoreceptor retina rod photoreceptor

https://www.pnas.org/content/pnas/104/29/12069.full.pdf

A typology of photoreceptor gene expression patterns in the mouse

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A typology of photoreceptor gene expression patterns in the mouse