Segmentation (biology)

Résumé

Segmentation in biology is the division of some animal and plant body plans into a series of repetitive segments. This article focuses on the segmentation of animal body plans, specifically using the examples of the taxa Arthropoda, Chordata, and Annelida. These three groups form segments by using a "growth zone" to direct and define the segments. While all three have a generally segmented body plan and use a growth zone, they use different mechanisms for generating this patterning. Even within these groups, different organisms have different mechanisms for segmenting the body. Segmentation of the body plan is important for allowing free movement and development of certain body parts. It also allows for regeneration in specific individuals. Definition Segmentation is a difficult process to satisfactorily define. Many taxa (for example the molluscs) have some form of serial repetition in their units but are not conventionally thought of as segmented. Segmented animals are

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https://en.wikipedia.org/wiki/Segmentation_(biology)

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Hunting for the wavefront: investigation of somite boundary positioning in zebrafish

Arianne Bercowsky Rama

Somitogenesis is the rhythmic and sequential formation of somites, which are tissue blocks that give rise to segmented adult body structures including the vertebrae and associated muscle. Somite formation is controlled by the segmentation clock, a population of genetic oscillators that are coordinated by an interplay of cell-intrinsic and -extrinsic spatiotemporal information. Disruption of the segmentation clock can lead to misplaced or defective somite boundaries, and consequently results in deformed adult structures (e.g., congenital scoliosis). Despite decades of research into how the segmentation clock pattern is established, and how it acts to position somite boundaries within the pre-segmental mesoderm(PSM), many open questions remain. The position where the somite boundary is set along the anteroposterior axis of the PSM has been named the "determination front". Question still remain as to the mechanism and location of the determination front, and what spatiotemporal information is instructive.Here I present three studies that tackle this question by advancing imaging and analysis tools such that questions that have persisted for decades can be directly addressed. My work contributed significantly to obtaining a better picture of how somite boundaries are precisely formed.

EPFL2022

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Cells live in ever-changing environments, thereby facing a variety of dynamic environmental signals. Environmental stimuli elicit intracellular responses through signaling pathways, which converge on transcriptional activation or repression of target genes. Despite intensive research, dissecting the complex interactions between pathway components that modulate mRNA and protein production still remains a difficult task. To this end, single-cell approaches provide unique insights into intracellular processes and cell responses to environmental stimuli, otherwise inaccessible with traditional bulk studies. Single-cell measurements have revealed that isogenic cells sharing the same environment display substantial heterogeneity in both transcript and protein level. As the initial step in gene expression, transcription is an important source of such variability in eukaryotic cells due to low number of molecules involved, transcription factor dynamics and the discrete nature of biochemical reactions. Notably, production of mRNA during transcription occurs in short periods of activity, termed as transcriptional bursts, followed by longer periods of inactivity. Despite widespread observations of transcriptional dynamics in mammals, upstream molecular mechanisms shaping the eukaryotic transcription remained elusive. In this study, we quantitatively linked upstream factors and transcriptional kinetics by developing an experimental system to temporally monitor, simultaneously, inputs (transcription factors) and outputs (target gene expression) in mammalian cells, in response to stimulus. We established two Tet-On inducible stable cell lines each expressing a fusion protein of a luminescence (Nanoluciferase) reporter to either SMAD4 or SMAD2, the two main transcrip- tion factors downstream of the TGF-Î² pathway. These cell lines that also contain a short-lived firefly luciferase reporter for the expression of the target endogenous connective tissue growth factor (ctgf ) gene allowed us to quantitatively link nuclear accumulation of SMADs upon TGF-Î² stimulation to the target gene expression in real-time single cell measurements. Time- lapse luminescence microscopy and image analysis with the custom developed CAST (Cell Automated Segmentation and Tracking platform) platform provided quantitative single-cell data to link the upstream transcription factor profile to its target gene activity. The data revealed weak single-cell correlations between translocation level and the target gene expression response which suggests a mechanism in which the translocation of SMADs initiates the transcriptional response but affects the response amplitude minimally. However, SMAD4 expression levels influenced the target gene response dynamics such that cells with high SMAD4 abundance favored to respond in a more sustained and even oscillatory manner. This suggests a mechanism consisting of a dynamic interplay between the transcriptional activators and feedback mechanisms in TGF-Î² signaling. We explored further the effect of different factors such as ligand concentration, ligand type on both signaling and target gene response. Taken together, this study proposes an experimental and quantitative framework that dissect mechanisms underlying transcriptional response to stimulus.

EPFL2018

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Nonlinearity arising from noncooperative transcription factor binding enhances negative feedback and promotes genetic oscillations

Andrew Charles Oates, Daniele Soroldoni

We study the effects of multiple binding sites in the promoter of a genetic oscillator. We evaluate the regulatory function of a promoter with multiple binding sites in the absence of cooperative binding, and consider different hypotheses for how the number of bound repressors affects transcription rate. Effective Hill exponents of the resulting regulatory functions reveal an increase in the nonlinearity of the feedback with the number of binding sites. We identify optimal configurations that maximize the nonlinearity of the feedback. We use a generic model of a biochemical oscillator to show that this increased nonlinearity is reflected in enhanced oscillations, with larger amplitudes over wider oscillatory ranges. Although the study is motivated by genetic oscillations in the zebrafish segmentation clock, our findings may reveal a general principle for gene regulation. Received: 3 August 2013, Accepted: 20 October 2014; Edited by: G. Mindlin; DOI: http://dx.doi.org/10.4279/PIP.060012 Cite as: I M Lengyel, D Soroldoni, A C Oates, L G Morelli, Papers in Physics 6, 060012 (2014)

2014

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EPFL2018