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Lydia Robert

Researcher at Institut national de la recherche agronomique

Publications -  18
Citations -  796

Lydia Robert is an academic researcher from Institut national de la recherche agronomique. The author has contributed to research in topics: Population & Estimator. The author has an hindex of 9, co-authored 18 publications receiving 672 citations. Previous affiliations of Lydia Robert include Micalis Institute & Agro ParisTech.

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Single-Cell Analysis of Growth in Budding Yeast and Bacteria Reveals a Common Size Regulation Strategy

TL;DR: It is argued that for S. cerevisiae the "volume increment" is not added from birth to division, but rather between two budding events, suggesting a common strategy for cell size control with bacteria.
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Division in Escherichia coli is triggered by a size-sensing rather than a timing mechanism.

TL;DR: It is demonstrated that a size-independent timer mechanism for division control, though theoretically possible, is quantitatively incompatible with the data and extremely sensitive to slight variations in the growth law.
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Statistical estimation of a growth-fragmentation model observed on a genealogical tree

TL;DR: In this paper, the authors present a nonparametric estimator of the division rate for a growing and dividing population modelled by a piecewise deterministic Markov branching tree, where the individuals split into two offsprings at a division rate B(x) that depends on their size x, whereas their size grows exponentially in time.
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Mutation dynamics and fitness effects followed in single cells

TL;DR: The approach has enabled the investigation of single-cell individuality in mutation rate, mutation fitness costs, and mutation interactions and revealed Poissonian dynamics.
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Archaeal cells share common size control with bacteria despite noisier growth and division.

TL;DR: A soft-lithography method that enables single-cell analysis of Halobacterium’salinarum shows that archaeal cells achieve homogeneity in cell size by growing a constant size between two cell cycle events (that is, the adder model).