Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
Appendix A. Error matrix for potential vegetation types from the Gradient Nearest Neighbor model.
, 2016 Error matrix for potential vegetation types from the Gradient Nearest Neighbor ...
Matthew J. Gregory (2904392) +2 more
core +1 more source
Point Cloud Registration Method Based on Geometric Constraint and Transformation Evaluation
SensorsExisting point-to-point registration methods often suffer from inaccuracies caused by erroneous matches and noisy correspondences, leading to significant decreases in registration accuracy and efficiency.
Chuanli Kang +5 more
doaj +1 more source
FEBS Letters, EarlyView.Vacuolar H+‐ATPase (V‐ATPase) is a multisubunit rotary proton pump that acidifies intracellular compartments. Using elastic network models, we identified conserved hinge residues that govern its large‐scale functional motions. We show that intrinsically encoded ‘soft modes’ drive critical functional transitions, including rotary catalysis and ...
Diksha Parwana +3 more
wiley +1 more source
Appendix C. Error matrix for vegetation classes from the Gradient Nearest Neighbor structure model.
, 2016 Error matrix for vegetation classes from the Gradient Nearest Neighbor structure ...
Matthew J. Gregory (2904392) +2 more
core +1 more source
Comparing the paths of Hedgehog release in artificial and natural settings
FEBS Letters, EarlyView.Hh morphogens require solubilization factors to overcome their tight association with the plasma membrane and signal to distant cells, but the precise functions of these factors are controversial. Here, we use published in vivo observations as the most relevant evidence to test their suggested functions and discuss contradictions and gaps between in ...
Janna Puschmann, Kay Grobe
wiley +1 more source
A preconditioned Newton algorithm for the nearest correlation matrix [PDF]
, 2008 Various methods have been developed for computing the correlation matrix nearest in the Frobenius norm to a given matrix. We focus on a quadratically convergent Newton algorithm recently derived by Qi and Sun.
Rüdiger Borsdorf +3 more
core +3 more sources
Determining the Quality of Dairy Products Using Machine Learning Techniques [PDF]
مجلة التربية والعلمFood products are an essential source of human life, so they have a very important place, and it will be important to monitor and determine their quality in a short time.
Nour Fadel, Baydaa Bahnam
doaj +1 more source
The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers
Molecular Oncology, EarlyView.The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce +11 more
wiley +1 more source
A Newton Algorithm for the Nearest Correlation Matrix [PDF]
, 2007 Firstly, we describe and investigate the algorithm of Qi and Sun which solves the problem of finding the nearest correlation matrix to a symmetric matrix. This algorithm claims a quadratic convergence. We discuss improving this algorithm's efficiency and
Borsdorf, Rudiger
core +1 more source