Results 171 to 180 of about 3,887,902 (293)

On Differential Gene Expression Using RNA-Seq Data

Cancer Informatics, 2011
Juhee Lee, Yuan Ji, Shoudan Liang, Guoshuai Cai, Peter Müller   +4 more
doaj  

Imputation integrates single-cell and spatial gene expression data to resolve transcriptional networks in barley shoot meristem development. [PDF]

Nat Plants
Demesa-Arevalo E, Dӧrpholz H, Vardanega I, Maika JE, Pineda-Valentino I, Eggels S, Lautwein T, Kӧhrer K, Schnurbusch T, von Korff M, Usadel B, Simon R.   +11 more
europepmc   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch, Isabel Vogel, Sina Nokodian, Johanna Moeller, Antonia Blechschmidt, Vicky Hecht, Vanessa Kuentzel, Katharina Thiedig, Melissa Schwab, Oliver Schilling, Holger Bronger, Marion Kiechle, Viktor Magdolen, Tobias Dreyer   +13 more
wiley   +1 more source

Pairwise ratio transformation of gene expression data leads to improved checkpoint response prediction in lung cancer patients. [PDF]

BMC Bioinformatics
Pfeil J, Ma L, Lo HC, Turan T, McLaughlin RT, Shi X, Villarruel S, Wilson S, Zhao X, Samayoa J, Halliwill K.   +10 more
europepmc   +1 more source

Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma

Molecular Oncology, EarlyView.
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic, Anne Nørremølle, Lilian Bomme Ousager, Lars van Brakel Andersen, Marie Louise Mølgaard Binderup, Mads Thomassen   +5 more
wiley   +1 more source

Identification of models describing gene expression data leveraging machine learning methods. [PDF]

Interface Focus
Jansen Klomp LF, Queirolo E, Post JN, Meijer HGE, Brune C.   +4 more
europepmc   +1 more source

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

Molecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric, Line Bjørge, Martine Rott Lode, Cecilie Fredvik Torkildsen, Pia Aehnlich, Rammah Elnour, Daniela Elena Costea, Lars Andreas Akslen, Liv Cecilie Vestrheim Thomsen, Emmet McCormack, Katrin Kleinmanns   +10 more
wiley   +1 more source

Machine learning based on clinical and gene expression data assists in survival prediction and treatment optimization for diffuse large B-Cell lymphoma patients. [PDF]

Ann Hematol
Lin J, Lv W, Cai H, Nie Q, Zeng J, Lin K, Lin Q, Wen X, Li Y, Su R.   +9 more
europepmc   +1 more source

Hippo pathway at the crossroads of stemness and therapeutic resistance in breast cancer

Molecular Oncology, EarlyView.
Dysregulation of the Hippo pathway drives nuclear accumulation of YAP/TAZ, activating stemness‐related transcriptional programs that sustain breast cancer stemness and fuel therapeutic resistance across subtypes, underscoring Hippo signaling as a targetable vulnerability. Figure created and edited with BioRender.com.
Giulia Schiavoni, Antonella Palmese, Stefano Scalera, Laura Cipriani, Davide Mascolo, Patrizia Vici, Teresa Arcuri, Lorena Filomeno, Eriseld Krasniqi, Giovanni Blandino, Giulia Bon, Marcello Maugeri‐Saccà   +11 more
wiley   +1 more source

Protocol to predict the origin of cancer of unknown primary from gene expression data using BPformer. [PDF]

STAR Protoc
Xie J, Qi T, Chen Y, Yang C, Tong M, Yu R.   +5 more
europepmc   +1 more source