Results 71 to 80 of about 2,845,553 (249)

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Genes involved in spermatogonial stem cell self-renewal and differentiation [PDF]

, 2008
Spermatozoa are produced by the process of spermatogenesis. At the base of this process is a pool of spermatogonial stem cells that generate new stem cells as well as committed spermatogonia that will eventually differentiate in spermatozoa.
Genes/proteins responsible for the regulation of proliferation and differentiation of spermatogonial stem cells, van Bragt, M.P.A., Dep Biologie   +2 more
core   +1 more source

On the numerical differentiation

Journal of Numerical Analysis and Approximation Theory, 1997
Not available.
Alexandru Lupaş, Detlef H. Mache
doaj   +2 more sources

Generalized groundwater plume with degradation and rate-limited sorption model with Mittag-Leffler law

Results in Physics, 2017
The concept of differentiation with the generalized Mittag-Leffler law is used in this paper to construct the model of movement of groundwater pollution with degradation and limited sorption. The fractional differentiation used in the model is in Riemann-
Badr Saad T. Alkahtani, Abdon Atangana
doaj   +1 more source

ABL kinase‐dependent phosphorylation of SH proteins promotes their direct interaction with CRK family SH2 domains

FEBS Letters, EarlyView.
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens, Brendan W. Chandler, Anna M. Schmoker, Jaye L. Weinert, Charlotte A. Kearns, Warren T. Yacawych, Amila Šemić, Alicia M. Ebert, Bryan A. Ballif   +8 more
wiley   +1 more source

PARP Inhibitor PJ34 Suppresses Osteogenic Differentiation in Mouse Mesenchymal Stem Cells by Modulating BMP-2 Signaling Pathway [PDF]

, 2015
Poly(ADP-ribosyl)ation is known to be involved in a variety of cellular processes, such as DNA repair, cell death, telomere regulation, genomic stability and cell differentiation by poly(ADP-ribose) polymerase (PARP).
Fujihara, Yuko, Yamada, Hiroyuki, Yamamoto, Nanami, Mitsuko Masutani, Ryoko Nakayama, Masutani, Mitsuko, Kazuhito Satomura, Yuko Fujihara, Satomura, Kazuhito, Nanami Yamamoto, Yoshiki Hamada, Nakayama, Ryoko, Kawaguchi, Koji, Fujihara, Hisako, Hisako Fujihara, Koji Kawaguchi, Kishi, Yuta, Hamada, Yoshiki, Hiroyuki Yamada, Yuta Kishi   +19 more
core   +1 more source

Mini-symposium on automatic differentiation and its applications in the financial industry

ESAIM: Proceedings and Surveys, 2017
Automatic differentiation has been involved for long in applied mathematics as an alternative to finite difference to improve the accuracy of numerical computation of derivatives.
Geeraert Sébastien, Lehalle Charles-Albert, Pearlmutter Barak A., Pironneau Olivier, Reghai Adil   +4 more
doaj   +1 more source

Precise Numerical Differentiation of Thermodynamic Functions with Multicomplex Variables. [PDF]

J Res Natl Inst Stand Technol, 2021
Deiters UK, Bell IH.
europepmc   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

PyNumDiff: A Python package for numerical differentiation of noisy time-series data. [PDF]

J Open Source Softw, 2022
Van Breugel F, Liu Y, Brunton BW, Kutz JN.   +3 more
europepmc   +1 more source