Peeking into the future: inferring mechanics in dynamical tissues DOI Creative Commons
Augusto Borges, Osvaldo Chara

Biochemical Society Transactions, Год журнала: 2024, Номер 52(6), С. 2579 - 2592

Опубликована: Дек. 10, 2024

Cells exert forces on each other and their environment, shaping the tissue. The resulting mechanical stresses can be determined experimentally or estimated computationally using stress inference methods. Over years, has become a non-invasive, low-cost computational method for estimating relative intercellular intracellular pressures of tissues. This mini-review introduces compares static dynamic modalities inference, considering advantages limitations. To date, most software focused which requires only single microscopy image as input. Although applicable in quasi-equilibrium states, this approach neglects influence that cell rearrangements might have inference. In contrast, relies time series images to estimate pressures. Here, we discuss both terms physical, mathematical, foundations then outline what believe are promising avenues silico states

Язык: Английский

Single-cell morphometrics reveals T-box gene-dependent patterns of epithelial tension in the Second Heart field DOI Creative Commons

Clara Guijarro,

Solène Song, Benoît Aigouy

и другие.

Nature Communications, Год журнала: 2024, Номер 15(1)

Опубликована: Ноя. 4, 2024

Abstract The vertebrate heart tube extends by progressive addition of epithelial second field (SHF) progenitor cells from the dorsal pericardial wall. interplay between mechanics and genetic mechanisms during SHF deployment is unknown. Here, we present a quantitative single-cell morphometric analysis extension, including force inference stress. Joint spatial Principal Component Analysis reveals that cell orientation stress direction are main parameters defining apical morphology distinguishes adjacent to arterial venous poles. Cell shape mechanical forces display dynamic relationship formation. Moreover, while T-box transcription factor Tbx1 necessary for towards pole, activation Tbx5 in posterior correlates with establishment deletion relaxes epithelium. Integrating findings cell-scale feature patterning provides new insights into cardiac morphogenesis.

Язык: Английский

Процитировано

1

An expanded view of cell competition DOI Creative Commons
Ameya Khandekar, Stephanie J. Ellis

Development, Год журнала: 2024, Номер 151(22)

Опубликована: Ноя. 15, 2024

ABSTRACT Cell competition arises in heterogeneous tissues when neighbouring cells sense their relative fitness and undergo selection. It has been a challenge to define contexts which cell is physiologically relevant phenomenon understand the cellular features that underlie sensing. Drawing on examples across range of length scales, we illuminate molecular could diverse tissue types processes promote reinforce long-term maintenance function. We propose by broadening scope how defined circumstances can occur, field unlock potential as lens through heterogeneity its role fundamental principles complex organisation be understood.

Язык: Английский

Процитировано

1

Peeking into the future: inferring mechanics in dynamical tissues DOI Creative Commons
Augusto Borges, Osvaldo Chara

Biochemical Society Transactions, Год журнала: 2024, Номер 52(6), С. 2579 - 2592

Опубликована: Дек. 10, 2024

Cells exert forces on each other and their environment, shaping the tissue. The resulting mechanical stresses can be determined experimentally or estimated computationally using stress inference methods. Over years, has become a non-invasive, low-cost computational method for estimating relative intercellular intracellular pressures of tissues. This mini-review introduces compares static dynamic modalities inference, considering advantages limitations. To date, most software focused which requires only single microscopy image as input. Although applicable in quasi-equilibrium states, this approach neglects influence that cell rearrangements might have inference. In contrast, relies time series images to estimate pressures. Here, we discuss both terms physical, mathematical, foundations then outline what believe are promising avenues silico states

Язык: Английский

Процитировано

0