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1. STRAINS: A big data method for classifying cellular response to stimuli at the tissue scale

   https://doi.org/10.1371/journal.pone.0278626  

   Zheng, Jingyang; Wyse Jackson, Thomas; Fortier, Lisa A.; Bonassar, Lawrence J.; Delco, Michelle L.; Cohen, Itai (December 2022, PLOS ONE)

   Rehfeldt, Florian (Ed.)

   Cellular response to stimulation governs tissue scale processes ranging from growth and development to maintaining tissue health and initiating disease. To determine how cells coordinate their response to such stimuli, it is necessary to simultaneously track and measure the spatiotemporal distribution of their behaviors throughout the tissue. Here, we report on a novel SpatioTemporal Response AnalysisIN Situ(STRAINS) tool that uses fluorescent micrographs, cell tracking, and machine learning to measure such behavioral distributions. STRAINS is broadly applicable to any tissue where fluorescence can be used to indicate changes in cell behavior. For illustration, we use STRAINS to simultaneously analyze the mechanotransduction response of 5000 chondrocytes—over 20 million data points—in cartilage during the 50 ms to 4 hours after the tissue was subjected to local mechanical injury, known to initiate osteoarthritis. We find that chondrocytes exhibit a range of mechanobiological responses indicating activation of distinct biochemical pathways with clear spatial patterns related to the induced local strains during impact. These results illustrate the power of this approach. 

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2. Timing of cartilage articulation following impact injury affects the response of surface zone chondrocytes

   https://doi.org/10.1002/jor.26002  

   Thompson, Caroline L; Bonassar, Lawrence J (February 2025, Journal of Orthopaedic Research)

   Abstract Post‐traumatic osteoarthritis develops following an inciting injury to a joint and results in cartilage degeneration. Mechanical loading, including articulation, drives anabolic responses in cartilage clinically, in vivo, and in vitro. Tribological articulation, or sliding of cartilage on a glass counterface, has long been used as an in vitro tool to study cartilage tissue behavior. However, it is unclear if tribological articulation affects chondrocyte fate following injury, and if the timing of articulation impacts the resultant effect. The goal of this study was to investigate the effect of tribological articulation on injured cartilage tissue at two time points: (i) performed immediately after injury and (ii) 24 h after injury. Neonatal bovine femoral cartilage explants were injured using a rapid spring‐loaded impactor and subsequently subjected to tribological articulation. Cell death due to impact injury was highest near the articular surface, suggesting a strain‐dependent mechanism. Immediate articulation following injury mitigated cell death compared to injury alone or delayed articulation; markers for both general cell death and early‐stage apoptosis were markedly decreased in the explants that were immediately slid. Interestingly, mitigation of cell death due to sliding was most predominant at the cartilage surface. Tribological articulation is known to create fluid flow within the tissue, predominantly at the articular surface, which could drive the protective response seen here. Altogether, this work shows that perturbations to the cellular environment immediately following cartilage injury significantly impact chondrocyte fate. 

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3. Impact of tumor-parenchyma biomechanics on liver metastatic progression: a multi-model approach

   https://doi.org/10.1038/s41598-020-78780-7  

   Wang, Yafei; Brodin, Erik; Nishii, Kenichiro; Frieboes, Hermann B.; Mumenthaler, Shannon M.; Sparks, Jessica L.; Macklin, Paul (January 2021, Scientific Reports)

   Abstract Colorectal cancer and other cancers often metastasize to the liver in later stages of the disease, contributing significantly to patient death. While the biomechanical properties of the liver parenchyma (normal liver tissue) are known to affect tumor cell behavior in primary and metastatic tumors, the role of these properties in driving or inhibiting metastatic inception remains poorly understood, as are the longer-term multicellular dynamics. This study adopts a multi-model approach to study the dynamics of tumor-parenchyma biomechanical interactions during metastatic seeding and growth. We employ a detailed poroviscoelastic model of a liver lobule to study how micrometastases disrupt flow and pressure on short time scales. Results from short-time simulations in detailed single hepatic lobules motivate constitutive relations and biological hypotheses for a minimal agent-based model of metastatic growth in centimeter-scale tissue over months-long time scales. After a parameter space investigation, we find that the balance of basic tumor-parenchyma biomechanical interactions on shorter time scales (adhesion, repulsion, and elastic tissue deformation over minutes) and longer time scales (plastic tissue relaxation over hours) can explain a broad range of behaviors of micrometastases, without the need for complex molecular-scale signaling. These interactions may arrest the growth of micrometastases in a dormant state and prevent newly arriving cancer cells from establishing successful metastatic foci. Moreover, the simulations indicate ways in which dormant tumors could “reawaken” after changes in parenchymal tissue mechanical properties, as may arise during aging or following acute liver illness or injury. We conclude that the proposed modeling approach yields insight into the role of tumor-parenchyma biomechanics in promoting liver metastatic growth, and advances the longer term goal of identifying conditions to clinically arrest and reverse the course of late-stage cancer. 

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4. MAPK activity dynamics regulate non-cell autonomous effects of oncogene expression

   https://doi.org/10.7554/eLife.60541  

   Aikin, Timothy J; Peterson, Amy F; Pokrass, Michael J; Clark, Helen R; Regot, Sergi (September 2020, eLife)

   null (Ed.)

   In animals, the MAPK pathway is a network of genes that helps a cell to detect and then respond to an external signal by switching on or off a specific genetic program. In particular, cells use this pathway to communicate with each other. In an individual cell, the MAPK pathway shows fluctuations in activity over time. Mutations in the genes belonging to the MAPK pathway are often one of the first events that lead to the emergence of cancers. However, different mutations in the genes of the pathway can have diverse effects on a cell’s behavior: some mutations cause the cell to divide while others make it migrate. Recent research has suggested that these effects may be caused by changes in the pattern of MAPK signaling activity over time. Here, Aikin et al. used fluorescent markers to document how different MAPK mutations influence the behavior of a human breast cell and its healthy neighbors. The experiments showed that cells with different MAPK mutations behaved in one of two ways: the signaling quickly pulsed between high and low levels of activity, or it remained at a sustained high level. In turn, these two signaling patterns altered cell behavior in different ways. Pulsed signaling led to more cell division, while sustained signaling stopped division and increased migration. Aikin et al. then examined the effect of the MAPK mutations on neighboring healthy cells. Sustained signaling from the cancerous cell caused a wave of signaling activity in the surrounding cells. This led the healthy cells to divide and migrate toward the cancerous cell, pushing it out of the tissue layer. It is not clear if these changes protect against or promote cancer progression in living tissue. However, these results explain why specific cancer mutations cause different behaviors in cells. 

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5. Metabolic Changes Associated With Cardiomyocyte Dedifferentiation Enable Adult Mammalian Cardiac Regeneration

   https://doi.org/10.1161/CIRCULATIONAHA.122.061960  

   Cheng, Yuan-Yuan; Gregorich, Zachery; Prajnamitra, Ray P; Lundy, David J; Ma, Ting-Yun; Huang, Yu-Hsuan; Lee, Yi-Chan; Ruan, Shu-Chian; Lin, Jen-Hao; Lin, Po-Ju; et al (December 2022, Circulation)

   Background:Cardiac regeneration after injury is limited by the low proliferative capacity of adult mammalian cardiomyocytes (CMs). However, certain animals readily regenerate lost myocardium through a process involving dedifferentiation, which unlocks their proliferative capacities. Methods:We bred mice with inducible, CM-specific expression of the Yamanaka factors, enabling adult CM reprogramming and dedifferentiation in vivo. Results:Two days after induction, adult CMs presented a dedifferentiated phenotype and increased proliferation in vivo. Microarray analysis revealed that upregulation of ketogenesis was central to this process. Adeno-associated virus-driven HMGCS2 overexpression induced ketogenesis in adult CMs and recapitulated CM dedifferentiation and proliferation observed during partial reprogramming. This same phenomenon was found to occur after myocardial infarction, specifically in the border zone tissue, and HMGCS2 knockout mice showed impaired cardiac function and response to injury. Finally, we showed that exogenous HMGCS2 rescues cardiac function after ischemic injury. Conclusions:Our data demonstrate the importance of HMGCS2-induced ketogenesis as a means to regulate metabolic response to CM injury, thus allowing cell dedifferentiation and proliferation as a regenerative response. 

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