Results 51 to 60 of about 501,800 (253)

Detecting Genetic Recombination

open access: yes, 2008
Recombination is the major motor of evolution. While mutations result in gradual changes, recombination reshuffles entire functional modules and thus progresses evolution in leaps and bounds. We need to identify recombination breakpoints in sequences to understand the evolutionary process, the impact of recombination, and to reconstruct the ...
openaire   +4 more sources

Adverse prognosis gene expression patterns in metastatic castration‐resistant prostate cancer

open access: yesMolecular Oncology, EarlyView.
We aggregated a cohort of 1012 mCRPC tissue samples from 769 patients and investigated the association of gene expression‐based pathways with clinical outcomes. Loss of AR signaling, high proliferation, and a glycolytic phenotype were independently prognostic for poor outcomes, and an adverse transcriptional feature score incorporating these pathways ...
Marina N. Sharifi   +26 more
wiley   +1 more source

Genetic characterization of Pepino mosaic virus isolates from Belgian greenhouse tomatoes reveals genetic recombination [PDF]

open access: yes, 2008
Over a period of a few years, Pepino mosaic virus (PepMV) has become one of the most important viral diseases in tomato production worldwide. Infection by PepMV can cause a broad range of symptoms on tomato plants, often leading to significant financial ...
Bragard, C.   +7 more
core   +3 more sources

Interplay of integrins and selectins in metastasis

open access: yesMolecular Oncology, EarlyView.
Here we review the role of integrins and their interplay with selectins in metastasis. The efficacy of integrin‐targeted therapies may be reduced in tumors where metastasis relies heavily on selectins. In certain tumors, integrins and selectins exhibit a synergistic interaction during intraperitoneal dissemination.
Diana Maltseva   +2 more
wiley   +1 more source

Chemoresistome mapping in individual breast cancer patients unravels diversity in dynamic transcriptional adaptation

open access: yesMolecular Oncology, EarlyView.
This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani   +14 more
wiley   +1 more source

Smc5/6 is required for repair at collapsed replication forks. [PDF]

open access: yes, 2006
In eukaryotes, three pairs of structural-maintenance-of-chromosome (SMC) proteins are found in conserved multisubunit protein complexes required for chromosomal organization.
Ampatzidou, Eleni   +3 more
core   +3 more sources

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

open access: yesMolecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu   +12 more
wiley   +1 more source

The role of haplotype complementation and purifying selection in the genome evolution [PDF]

open access: yes, 2010
We discuss two different ways of chromosomes' and genomes' evolution. Purifying selection dominates in large panmictic populations, where Mendelian law of independent gene assortment is valid. If the populations are small, recombination processes are not
Cebrat, Stanislaw   +2 more
core  

Vacuolating cytotoxin (vacA) alleles of Helicobacter pylori comprise two geographically widespread types, m1 and m2, and have evolved through limited recombination [PDF]

open access: yes, 1999
Vacuolating cytotoxin (vacA) alleles of Helicobacter pylori vary, particularly in their mid region (which may be type m1 or m2) and their signal peptide coding region (type s1 or s2).
Atherton, JC   +7 more
core   +1 more source

Systematic profiling of cancer‐fibroblast interactions reveals drug combinations in ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Fibroblasts, cells in the tumor environment, support ovarian cancer cell growth and alter morphology and drug response. We used fibroblast and cancer cell co‐culture models to test 528 drugs and discovered new drugs for combination treatment. We showed that adding Vorinostat or Birinapant to standard chemotherapy may improve drug response, suggesting ...
Greta Gudoityte   +10 more
wiley   +1 more source

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