Results 171 to 180 of about 360,147 (291)

PRMT5 genetic interactions with DNA double strand break repair genes. [PDF]

PLoS One
Bliss HJ, Tron J, Bush W, Bouley RA, Petreaca RC.   +4 more
europepmc   +1 more source

Plants use identical inhibitors to protect their cell wall pectin against microbes and insects

, 2020
Eberl, F., Haeger, W., Kirsch, R., Pauchet, Y., Schaefer, C., Sporer, T., Vurmaz, E.   +6 more
core   +1 more source

ITGAV and SMAD4 influence the progression and clinical outcome of pancreatic ductal adenocarcinoma

Molecular Oncology, EarlyView.
In SMAD4‐positive pancreatic ductal adenocarcinoma (PDAC), integrin subunit alpha V (ITGAV) activates latent TGF‐β, which binds to the TGF‐β receptor and phosphorylates SMAD2/3. The activated SMAD2/3 forms a complex with SMAD4, and together they translocate to the nucleus, modulating gene expression to promote proliferation, migration, and invasion. In
Daniel K. C. Lee, Keyue Chen, Ryan Loke, Xiang Li, David Liubart, Golam T. Saffi, Jonathan T. S. Chow, Ché M. P. Melo, Lydia To, Leonardo Salmena   +9 more
wiley   +1 more source

Creating A Course Based Undergraduate Research Experience (CURE) Genetics Yeast Laboratory Course at Xavier University of Louisiana. [PDF]

Biochem Mol Biol Educ
Haye-Bertolozzi JE, DeFreece CB, Bolden C, Daveron K, Biliran H.   +4 more
europepmc   +1 more source

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

Molecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima, Yuko Takami, Ken Kawabe, Kazuhiro Tanabe, Chihiro Hayashi, Mikio Mikami, Tetsuya Kusumoto   +6 more
wiley   +1 more source

Molecular consequences of mitochondrial replacement may be masked from organismal traits in Tigriopus californicus. [PDF]

PLoS One
Denova JR, Flanagan BA, Jah M, Applebaum SL, Edmands S.   +4 more
europepmc   +1 more source

Exploring the role of cyclin D1 in the pathogenesis of multiple myeloma beyond cell cycle regulation

Molecular Oncology, EarlyView.
Cyclin D1 overexpression altered the cell adhesion pathway, while cyclin D2 upregulation had less impact on pathway enrichment analysis. Multiple myeloma (MM) patients with cyclin D1 overexpression showed reduced CD56 expression and increased circulating tumor cells (CTC) levels, suggesting that cyclin D1 may contribute to MM cell dissemination ...
Ignacio J. Cardona‐Benavides, Sara Cristobal‐Vargas, Cristina De Ramón, Elizabeta A. Rojas, Irena Misiewicz‐Krzeminska, Isabel Isidro, José Juan Pérez, Bruno Paiva, Noemi Puig, Miguel Alcoceba, María‐Victoria Mateos, Luis A. Corchete, Myriam Cuadrado, Norma C. Gutiérrez   +13 more
wiley   +1 more source

Regulation to function: A computational approach to specialized metabolism. [PDF]

PLoS Biol
Nodwell JR.
europepmc   +1 more source

Comprehensive profiling of lncRNAs and mRNAs enriched in small extracellular vesicles for early noninvasive detection of colorectal cancer: diagnostic panel assembly and extensive validation

Molecular Oncology, EarlyView.
Small extracellular vesicles are a promising source of diagnostic molecules. We conducted a comprehensive study, including transcriptome profiling and RT‐qPCR validation on large cohorts of samples. Diagnostic panels enabling sensitive detection of colorectal cancer and precancerous lesions were established. Some molecules were differentially expressed
Petra Vychytilova‐Faltejskova, Marketa Pavlikova, Lucie Pifkova, Robin Jugas, Tana Machackova, Lenka Radova, Milana Sachlova, Renata Bartosova, Tetiana Samoilenko, Zuzana Feckova, Jana Orlickova, Erika Slamova, Elleni Ponechal Michu, Dagmar Al Tukmachi, Michaela Ruckova, Martina Vodinska, Jan Kotoucek, Tina Catela Ivkovic, Marie Boudna, Lucia Bohovicova, Teodor Stanek, Jana Halamkova, Martin Svoboda, Vladimir Prochazka, Tomas Grolich, Zdenek Kala, Ondrej Slaby   +26 more
wiley   +1 more source

Expectations for papers performing Mendelian randomization analyses. [PDF]

PLoS Genet
Williams SM, Tang H, Cooper GM, O'Donnell-Luria A, Girirajan S, Dudley AM, Goriely A, Kutalik Z, Zhu X, Sirugo G, Epstein MP.   +10 more
europepmc   +1 more source