Results 161 to 170 of about 26,955,799 (314)

Large-scale detection and characterization of interchromosomal rearrangements in normozoospermic bulls using massive genotype and phenotype data sets. [PDF]

Genome Res, 2023
Jourdain J, Barasc H, Faraut T, Calgaro A, Bonnet N, Marcuzzo C, Suin A, Barbat A, Hozé C, Besnard F, Taussat S, Grohs C, Kuchly C, Iampietro C, Donnadieu C, Pinton A, Boichard D, Capitan A.   +17 more
europepmc   +1 more source

Extracellular matrix remodeling and immune reprogramming drive residual tumor progression of liver cancer after incomplete microwave ablation

Molecular Oncology, EarlyView.
Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu, Yubei He, Nikolaus Berndt, Michael Mülleder, Kathrin Textoris‐Taube, Jing Guo, Matthias Stechele, Justus Ramtke, Shraga Nahum Goldberg, Lynn Jeanette Savic   +9 more
wiley   +1 more source

Phenotype-related genes in MIP101 clone 8 cells with CEA over-expression.

, 2016
Phenotype-related genes in MIP101 clone 8 cells with CEA over-expression.
Stephen J. O’Brien (108646), Olga Bajenova (3095223), Alexander Shishkin (3095226), Anna Gorbunova (3095211), Ekaterina Bozhokina (3095214), Igor Evsyukov (3095229), Michael Rayko (3095220), Svetlana Gapon (3095217)   +7 more
core   +1 more source

Parent-reported phenotype data on chromosome 6 aberrations collected via an online questionnaire: data consistency and data availability. [PDF]

Orphanet J Rare Dis, 2023
Engwerda A, Frentz B, Rraku E, de Souza NFS, Swertz MA, Plantinga M, Kerstjens-Frederikse WS, Ranchor AV, van Ravenswaaij-Arts CMA.   +8 more
europepmc   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

Molecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso, Md Shohel Ul Islam, Rosa M Xicola, Raj Ramesar, Xavier Llor, Sinclair Steele   +5 more
wiley   +1 more source

Predicting Rice Phenotypes with Meta-Learning

, 2018
Rice genotype and phenotype data.
Orhobor, O (via Mendeley Data), Alexandrov, Nickolai, Machine Learning and Robotics, Orhobor, Oghenejokpeme, Department of Computer Science, King, Ross   +5 more
core   +1 more source

GWAS Central: an expanding resource for finding and visualising genotype and phenotype data from genome-wide association studies. [PDF]

Nucleic Acids Res, 2023
Beck T, Rowlands T, Shorter T, Brookes AJ.   +3 more
europepmc   +1 more source

Deletion of Rspo1 or Rspo3 in the mesenchyme does not affect Wolffian duct maintenance or morphogenesis.

microPublication Biology
Secreted proteins, R-Spondin 1 (RSPO1) and R-Spondin 3 (RSPO3), potentiate WNT/β-catenin signaling that play critical roles in reproductive organ development.
Shuai Jia, Jillian Wilbourne, Allyssa Fogarty, Wenyan Bai, Fei Zhao   +4 more
doaj   +1 more source

SPHINX31 acts as a SRPK1 inhibitor targeting the ATR/DNA‐PKcs/CHK1 replicative checkpoint to inhibit cell growth in non‐small cell lung cancer

Molecular Oncology, EarlyView.
The kinase SRPK1 directly interacts with the protein TOPBP1 and regulates the pre‐mRNA splicing of WIZ thereby contributing to the activation of the ATR/CHK1 replicative checkpoint in response to replicative stress. This allows cancer cells' genomic stability and survival.
Amani Shreim, Aurelie Genoux, Nadiia Zubchuk, Haoyang Zheng, Perla Salameh, Theo Ziegelmeyer, Fabien Dalonneau, Margot Rouchette, Christiane Oddou, Simona Miron, Helene Polveche, Adiilah Mamode Cassim, Carmen Garrido, Eleni Nikolakaki, Didier Auboeuf, Tao Jia, Sophie Zinn‐Justin, Beatrice Eymin   +17 more
wiley   +1 more source

Predicting Rice Phenotypes with Meta and Multi-Target Learning

, 2019
Rice genotype and phenotype data.
Orhobor, O (via Mendeley Data), The University of Manchester, Alexandrov, Nickolai, Machine Learning and Robotics, Orhobor, Oghenejokpeme, King, Ross   +5 more
core   +1 more source