Results 151 to 160 of about 230,940 (319)

PDCD11 Stabilizes C‐MYC Oncoprotein by Hindering C‐MYC‐SKP2 Negative Feedback Loop to Facilitate Progression of p53‐Mutant Breast and Colon Malignancies

open access: yesAdvanced Science, EarlyView.
PDCD11 overexpression highly correlates to poor prognosis in p53‐mutant breast and colon cancers. Through interaction with C‐MYC in the nucleoplasm, PDCD11 hinders C‐MYC‐induced SKP2 from binding to the C‐MYC MB2 domain for ubiquitination, thereby stabilizing C‐MYC to drive tumor progression.
Li Ding   +12 more
wiley   +1 more source

Myt1 Kinase Couples Mitotic Cell Cycle Exit with Differentiation in Drosophila

open access: yesCell Reports, 2020
Summary: The Drosophila midgut is an excellent system for characterizing cell cycle regulation in the context of tissue homeostasis. Two major progenitor cell types populate the midgut: mitotic intestinal stem cells and their post-mitotic daughters ...
Reegan J. Willms   +2 more
doaj  

Regulation of cyclin D-dependent kinase 4 (cdk4) by cdk4-activating kinase. [PDF]

open access: green, 1994
Jun‐ya Kato   +3 more
openalex   +1 more source

PseudoCell: A Multivalued Logical Regulatory Network to Investigate Premature Senescence Dynamics and Heterogeneity

open access: yesAGING MEDICINE, EarlyView.
ABSTRACT Purpose Premature cellular senescence is a pivotal process in aging and age‐related diseases, triggered by various stressors. However, this is not a homogeneous phenotype, but a heterogeneous cellular state composed of multiple senescence programs with different compositions. Therefore, understanding the complex dynamics of senescence programs
Vinícius Pierdoná   +6 more
wiley   +1 more source

Cyclins, Cdks, and Cyclin Kinase Inhibitors

open access: yesCold Spring Harbor Symposia on Quantitative Biology, 1994
Joan Massagué   +6 more
openaire   +3 more sources

π‐PhenoDrug: A Comprehensive Deep Learning‐Based Pipeline for Phenotypic Drug Screening in High‐Content Analysis

open access: yesAdvanced Intelligent Systems, EarlyView.
This study develops a deep learning‐based pipeline named π‐PhenoDrug for cell phenotype‐driven drug activity screening. π‐PhenoDrug integrates cell segmentation, morphological profile construction, and phenotype analysis modules, and it can assess drug effects on living cells in both supervised and unsupervised modes.
Xiao Li   +7 more
wiley   +1 more source

Targeted Therapies in Myelofibrosis: Present Landscape, Ongoing Studies, and Future Perspectives

open access: yesAmerican Journal of Hematology, EarlyView.
ABSTRACT Myelofibrosis (MF) is a myeloproliferative neoplasm that is accompanied by driver JAK2, CALR, or MPL mutations in more than 90% of cases, leading to constitutive activation of the JAK–STAT pathway. MF is a multifaceted disease characterized by trilineage myeloid proliferation with prominent megakaryocyte atypia and bone marrow fibrosis, as ...
Giuseppe G. Loscocco, Paola Guglielmelli
wiley   +1 more source

Collaboration of G1 cyclins in the functional inactivation of the retinoblastoma protein. [PDF]

open access: gold, 1994
Masanori Hatakeyama   +3 more
openalex   +1 more source

Growth Charts for Children With Beckwith–Wiedemann Spectrum

open access: yesAmerican Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Beckwith–Wiedemann spectrum (BWSp) is an overgrowth disorder caused by (epi)genetic alterations in chromosome 11p15. This study aimed to develop BWSp‐specific growth charts and explore genotype/phenotype correlations with respect to growth. Heights, weights, and head circumferences were retrospectively collected from 581 individuals with BWSp ...
Saskia M. Maas   +11 more
wiley   +1 more source

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