Results 81 to 90 of about 1,975,816 (285)

PICALM::MLLT10 translocated leukemia

FEBS Letters, EarlyView.
This comprehensive review of PICALM::MLLT10 translocated acute leukemia provides an in‐depth review of the structure and function of CALM, AF10, and the fusion oncoprotein (1). The multifaceted molecular mechanisms of oncogenesis, including nucleocytoplasmic shuttling (2), epigenetic modifications (3), and disruption of endocytosis (4), are then ...
John M. Cullen, Antonia C. Nakatsugawa, Natalie Barton, Henry Haines, Gary S. Stein, Janet L. Stein, Daniel S. Wechsler, Jessica L. Heath   +7 more
wiley   +1 more source

Cell wall target fragment discovery using a low‐cost, minimal fragment library

FEBS Letters, EarlyView.
LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan, Mathew Stanley, Olawale Raimi, Andrew T. Ferenbach, Helge C Dorfmueller, Daan M. F. van Aalten   +5 more
wiley   +1 more source

Identification of functional features underlying heat stress response in Sprague-Dawley rats using mixed linear models. [PDF]

Sci Rep, 2022
Kotlarz K, Mielczarek M, Wang Y, Dou J, Suchocki T, Szyda J.   +5 more
europepmc   +1 more source

Inhibiting stearoyl‐CoA desaturase suppresses bone metastatic prostate cancer by modulating cellular stress, mTOR signaling, and DNA damage response

FEBS Letters, EarlyView.
Bone metastasis in prostate cancer (PCa) patients is a clinical hurdle due to the poor understanding of the supportive bone microenvironment. Here, we identify stearoyl‐CoA desaturase (SCD) as a tumor‐promoting enzyme and potential therapeutic target in bone metastatic PCa.
Alexis Wilson, Mackenzie K Herroon, Shane Mecca, Laimar C Garmo, Jacob Lindquist, Shrila Rajendran, Steve M. Patrick, Izabela Podgorski   +7 more
wiley   +1 more source

Sensory analysis of Prato cheeses by generalized linear mixed models

Revista do Instituto de Latícinios Cândido Tostes
Sensory analysis, an area of Food Science, is used to analyze and measure characteristics of foods, being able to evaluate the acceptance of samples. Such assessments can be performed using the 9-point numerical hedonic scale, classified as an ordinal ...
Tatiane Carvalho Alvarenga, Jéssica Ferreira Rodrigues   +1 more
doaj   +1 more source

Congruency of Separable Affix Verb Combinations Is Linearly Indexed by the N400

Frontiers in Human Neuroscience, 2018
Separable affix verbs consist of a stem and a derivational affix, which, in some languages can appear together or in discontinuous, distributed form, e.g., German “aufgreifen” and “greifen … auf” [“up-pick(ing)” and “pick … up”].
Jeff Hanna, Jeff Hanna, Friedemann Pulvermüller, Friedemann Pulvermüller   +3 more
doaj   +1 more source

Application of mixed linear models for the estimation of functional effects on bovine stature based on SNP summary statistics from a whole-genome association study. [PDF]

Genet Sel Evol, 2022
Kotlarz K, Kosinska-Selbi B, Cai Z, Sahana G, Szyda J.   +4 more
europepmc   +1 more source

The (Glg)ABCs of cyanobacteria: modelling of glycogen synthesis and functional divergence of glycogen synthases in Synechocystis sp. PCC 6803

FEBS Letters, EarlyView.
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee, Dimitrios Bekiari, Sofia Doello, Karl Forchhammer   +3 more
wiley   +1 more source

A general approach to mixed effects modeling of residual variances in generalized linear mixed models

Genetics Selection Evolution, 2005
We propose a general Bayesian approach to heteroskedastic error modeling for generalized linear mixed models (GLMM) in which linked functions of conditional means and residual variances are specified as separate linear combinations of fixed and random ...
Kizilkaya Kadir, Tempelman Robert J
doaj   +1 more source

Forecasting interest rates: A Comparative assessment of some second generation non-linear model [PDF]

Modelling and forecasting of interest rates has traditionally proceeded in the framework of linear stationary models such as ARMA and VAR, but only with moderate success.
Dilip M. Nachane, Jose G. Clavel
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