Results 91 to 100 of about 1,422,540 (296)

Nuclear incompressibility using the density dependent M3Y effective interaction

, 2003
A density dependent M3Y effective nucleon-nucleon (NN) interaction which was based on the G-matrix elements of the Reid-Elliott NN potential has been used to determine the incompressibity of infinite nuclear matter.
Basu D N, D N Basu, Glendenning N K, Khoa Dao T, Shlomo S   +4 more
core   +1 more source

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

Molecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley, Michael W. Rohr, Joseph A. Goode, Sai Preethi Nakkina, Jignesh G. Parikh, Deborah A. Altomare   +5 more
wiley   +1 more source

Contribution of chromosomal polymorphisms to the G‐matrix ofMimulus guttatus [PDF]

New Phytologist, 2009
Evolution of genetic (co)variances (the G-matrix) fundamentally influences multitrait divergence. Here, we isolated the contribution of two chromosomal quantitative trait loci (QTLs), a meiotic drive locus and a polymorphic inversion, to the overall G-matrix for a suite of floral, phenological and male fitness traits in a population of Mimulus guttatus.
Scoville, Alison G., Wha Lee, Young, Willis, John H., Kelly, John K.   +3 more
openaire   +3 more sources

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

Molecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns, Jaclyn S. Long, Sergio Lilla, Kelly Hodge, Marcus J. G. W. Ladds, Colin Nixon, Paula Fernández‐Palanca, Sara Zanivan, Pilar Acedo, Stephen P. Pereira, Kevin M. Ryan   +10 more
wiley   +1 more source

Tissue inhibitor of matrix metalloproteinases-1 loaded poly(lactic-co-glycolic acid) nanoparticles for delivery across the blood–brain barrier

International Journal of Nanomedicine, 2014
Mayank Chaturvedi,1 Yves Molino,2 Bojja Sreedhar,3 Michel Khrestchatisky,4 Leszek Kaczmarek1 1Laboratory of Neurobiology, Nencki Institute, Warsaw, Poland; 2Vect-Horus, Marseille, France; 3Indian Institute of Chemical Technology, Hyderabad, India; 4Aix ...
Chaturvedi M, Molino Y, Sreedhar B, Khrestchatisky M, Kaczmarek L   +4 more
doaj  

Consistency between the monopole strength of the Hoyle state determined by structural calculation and that extracted from reaction observables

, 2016
We analyze the $\alpha$-$^{12}$C inelastic scattering to the $0^+_2$ state of $^{12}$C, the Hoyle state, in a fully microscopic framework. With no free adjustable parameter, the inelastic cross sections at forward angles are well reproduced by the ...
Minomo, Kosho, Ogata, Kazuyuki
core   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Impact of different genomic relationship matrix construction methods on the accuracy of genomic prediction in different species

Frontiers in Genetics
ObjectiveGenomic best linear unbiased prediction (GBLUP) is a key method in genomic prediction, relying on the construction of a genomic relationship matrix (G-matrix).
Shiyi Wang, Yingjia Wei, Dengying Liu, Xiangzhe Zhang, Qishan Wang, Yuchun Pan, Peipei Ma   +6 more
doaj   +1 more source

Analyzing power for the proton elastic scattering from neutron-rich 6He nucleus

, 2010
Vector analyzing power for the proton-6He elastic scattering at 71 MeV/nucleon has been measured for the first time, with a newly developed polarized proton solid target working at low magnetic field of 0.09 T.
A. Tamii, D. Suzuki, E. Hiyama, H. Iwasaki, H. Kuboki, H. Okamura, H. Sakai, K. Amos, K. Amos, K. Itoh, K. Sekiguchi, K. Suda, K. Yako, M. Ichikawa, M. Itoh, M. Sasano, M. Shinohara, M. Tanifuji, M. Yamaguchi, N. Aoi, R. Matsuo, S. Ishikawa, S. Karataglidis, S. Sakaguchi, T. Kawabata, T. Kawahara, T. Nakao, T. Uesaka, T. Wakui, T. Wakui, Y. Hashimoto, Y. Ichikawa, Y. Iseri, Y. Maeda, Y. Sasamoto, Y. Satou, Y. Takahashi, Y. Yamamoto   +37 more
core   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source