Results 201 to 210 of about 5,297,983 (305)

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +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

Use of a hemostatic matrix for control of bleeding during flexible endoscopic septotomy for Zenker's diverticulum. [PDF]

Endoscopy
Boustani C, Dibitetto S, De Sire R, Capogreco A, Maselli R, Hassan C, Repici A.   +6 more
europepmc   +1 more source

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

Joint modeling of effect sizes for two correlated traits: Characterizing trait properties to enhance polygenic risk prediction. [PDF]

PLoS Genet
Zhang C, Zhou G, Chen T, Zhao H.
europepmc   +1 more source

Microscopic insights to the ultralow thermal conductivity of monolayer 1T-SnTe₂. [PDF]

Sci Rep
Aziz K, Ekpe JE, Okekeoma AO, Ebuwa SO, Mbam SM, Ani S, Asogwa MN, Mangluhut RA, Iloanya AC, Ezema FI, Ekuma CE.   +10 more
europepmc   +1 more source

Predicting high health care use in patients with spinal disorder in secondary care: model development and validation. [PDF]

Pain Rep
Kjønø LG, Magnusson K, Johnsen MB, Storheim K, Clausen SH, Wilhelmsen M, O'Neill S, Pripp AH, Berg B, Skovsgaard CV, Hartvigsen J, Grotle M, Vigdal ØN.   +12 more
europepmc   +1 more source

Automatic clear cell renal cell carcinoma grading framework using histopathological images via artificial intelligence: a benchmarking study. [PDF]

BioData Min
Song H, Yuan M, Li Z, Wang M, Xu M, Lin H, Lu H, Zhan H, Luan T, Guo C, Fan H, Zhang K, Wang H.   +12 more
europepmc   +1 more source