Results 181 to 190 of about 2,181,553 (341)

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

Estimation of (co)variance components for very large datasets and complex single-step genomic models. [PDF]

Genet Sel Evol
Bermann M, Legarra A, Aguilar I, Alvarez-Munera A, Misztal I, Lourenco D.   +5 more
europepmc   +1 more source

Genetic Variance and Covariance Components for Feed Intake, Average Daily Gain, and Postweaning Gain in Growing Beef Cattle

, 2015
Kelli Retallick, Jennifer M Bormann, Robert L Weaber, M. D. MacNeil, H. L. Bradford, H. C. Freetly, W. M. Snelling, Mark Thallman, D. W. Moser, L. A. Kuehn   +9 more
openalex   +2 more sources

PARP inhibitors elicit distinct transcriptional programs in homologous recombination competent castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham, Jasibel Vasquez‐Gonzalez, Samantha M. Barnada, Salome Tchotorlishvili, Latese Jones, Ryan Maguire, Genevieve Lewis, Kinza Rizwan, Jenny Deng, Salma Koachar, Drithi Patel, Hailey Shankle, Tessa Mulders, Namra Ajmal, Charalambos Solomides, Emad S. Alnemri, Teresa F. Alnemri, Ayesha A. Shafi, Leonard G. Gomella, Wm Kevin Kelly, Steven B. McMahon, Matthew J. Schiewer   +21 more
wiley   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

Components of Variance

Journal of the Royal Statistical Society Series A: Statistics in Society, 2003
openaire   +2 more sources

Correction: Which method is optimal for estimating variance components and their variability in generalizability theory? Evidence from a set of unified rules for bootstrap method. [PDF]

PLoS One
Li G.
europepmc   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

Comparison between linear mixed model and threshold model in the estimation of variance components in age at first calving and milk production in buffaloes. [PDF]

Front Vet Sci
Camargo-Júnior RNC, de Araújo CV, Gomes MNB, Marques JRF, da Silva WC, Sousa CEL, de Andrade RL, de Oliveira AS, da Silva ÉBR, Cara JRF, Lourenço-Júnior JB, Santos AM, Silva AGME.   +12 more
europepmc   +1 more source

Estimation of Variance Component and Environment Effects on Somatic Cell Scores by Parity in Dairy Cattle

, 2006
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openalex   +2 more sources