Results 221 to 230 of about 1,695,985 (356)

Comparative study of adenosine 3′‐pyrophosphokinase domains of MuF polymorphic toxins

FEBS Open Bio, EarlyView.
With the ultimate goal of understanding the association of toxin‐immunity modules to temperate phages, we characterized toxins from three prophages and examined cross‐protection from immunity proteins. The toxins exhibit adenosine 3′‐pyrophosphokinase activity and are toxic in Escherichia coli.
Eloïse M. Paulet, Julia Bartoli, Atakan Kabtan, Chloé M. Piras, Audrey C. Tempier, Eric Cascales, Julie P. Viala   +6 more
wiley   +1 more source

rDNA Copy Number Variation and Methylation During Normal and Premature Aging. [PDF]

Aging Cell
Geisen ABC, Santana Acevedo N, Oshima J, Dittrich M, Potabattula R, Haaf T.   +5 more
europepmc   +1 more source

Molecular and clinical characterization of de novo and familial cases with microduplication 3q29: guidelines for copy number variation case reporting

, 2008
Sharan Goobie, Jeroen Knijnenburg, David Fitzpatrick, Freddie H. Sharkey, Anath C. Lionel, Christian R. Marshall, T. Azam, Mary Shago, Kelly K. Chong, Roberto Mendoza‐Londono, Nicolette S. den Hollander, Claudia Ruivenkamp, E.R. Maher, Hans J. Tanke, Károly Szuhai, Richard F. Wintle, Stephen W. Scherer   +16 more
openalex   +1 more source

Long non‐coding RNAs as therapeutic targets in head and neck squamous cell carcinoma and clinical application

FEBS Open Bio, EarlyView.
Long non‐coding RNAs (lncRNAs) occupy an abundant fraction of the eukaryotic transcriptome and an emerging area in cancer research. Regulation by lncRNAs is based on their subcellular localization in HNSCC. This cartoon shows the various functions of lncRNAs in HNSCC discussed in this review.
Ellen T. Tran, Ruchi A. Patel, Amogh Chariyamane, Ratna B. Ray   +3 more
wiley   +1 more source

Practical challenges in data‐driven interpolation: Dealing with noise, enforcing stability, and computing realizations

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley   +1 more source

Role of copy number variation analysis in prenatally diagnosed Blake's pouch cyst. [PDF]

BMC Pregnancy Childbirth
Guo C, Sun L, Liu Y, Yan Y, Wang L, Wang X, Wu Q.   +6 more
europepmc   +1 more source

Quantitative Analysis of Single Nucleotide Polymorphisms within Copy Number Variation

, 2008
Soohyun Lee, Simon Kasif, Zhiping Weng, Charles R. Cantor   +3 more
openalex   +2 more sources

Copy-number variation in BMPR2 is not associated with the pathogenesis of pulmonary arterial hypertension [PDF]

, 2009
Jennifer Johnson, Cindy L. Vnencak‐Jones, Joy D. Cogan, James E. Loyd, James West   +4 more
openalex   +1 more source

Neurotoxic amyloid β‐peptide and tau produce cytokine‐like effects on PMCA in glioblastoma cell lines, enhancing its activity and isoforms expression

FEBS Open Bio, EarlyView.
Two biomarkers of Alzheimer's disease, amyloid β‐peptide (Aβ) and tau, induce the transformation of U‐251 and other glioblastoma cell lines into neurotoxic A1‐like reactive astrocytes. This transformation is produced by cytokines and is followed by upregulation of PMCA activity and isoform expression, and is closely associated with inflammation, as ...
María Berrocal, Alberto Alvarez‐Barrientos, Ana M. Mata   +2 more
wiley   +1 more source

Data‐driven performance metrics for neural network learning

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri, Mauro Gaggero, Marcello Sanguineti   +2 more
wiley   +1 more source