Results 141 to 150 of about 26,955,799 (314)

Partial FAK suppression promotes tumor growth, an effect reversed by macrophage p110δ PI3K inactivation

Molecular Oncology, EarlyView.
Partial inhibition of focal adhesion kinase (FAK) can paradoxically promote tumor growth, rather than simply producing a weaker antitumor effect than that observed with strong FAK suppression. In breast cancer and melanoma models, targeting p110δ PI3K, particularly in macrophages, counteracted these tumor‐promoting effects, highlighting the importance ...
Lydia Xenou, Niki Tzenaki, Anna Tsapara, Maria Tzardi, Evangelia A. Papakonstanti   +4 more
wiley   +1 more source

Compilation of Genotype and Phenotype Data in GCDH-LOVD for Variant Classification and Further Application. [PDF]

Genes (Basel), 2023
Tibelius A, Evers C, Oeser S, Rinke I, Jauch A, Hinderhofer K.   +5 more
europepmc   +1 more source

Mechanisms and therapeutic opportunities of the ribotoxic stress response in cancer

Molecular Oncology, EarlyView.
Cancer cells' high translational demand creates opportunities to therapeutically target ribosome function. Ribosome stalling and collisions activate ZAKα and the ribotoxic stress response (RSR), which can trigger rapid, p53‐independent apoptosis in cancer.
Anastassiya Kim, Maryam Aslam, Elouise Torruella, Alphons Sony, Asif Rahman, Simira Smith, Columba de la Parra, Moira Sauane   +7 more
wiley   +1 more source

IthaPhen: An Interactive Database of Genotype-Phenotype Data for Hemoglobinopathies. [PDF]

Hemasphere, 2023
Xenophontos M, Minaidou A, Stephanou C, Tamana S, Kleanthous M, Kountouris P.   +5 more
europepmc   +1 more source

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

Molecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic, Rafael Stroggilos, Mladen Marinkovic, Ana Djuric, Suzana Stojanovic‐Rundic, Radmila Jankovic, Sergi Castellvi‐Bel, Remond J.A. Fijneman, Antonia Vlahou, Jerome Zoidakis, Milena Cavic   +10 more
wiley   +1 more source

Raw images for defective replication stress response is inherently linked to the cancer stem cell phenotype

, 2018
Raw images/blots for "Defective replication stress response is inherently linked to the cancer stem cell ...
McGrail, D (via Mendeley Data), McGrail, Daniel   +1 more
core   +1 more source

Ten simple rules for the sharing of bacterial genotype-Phenotype data on antimicrobial resistance. [PDF]

PLoS Comput Biol, 2023
Chindelevitch L, van Dongen M, Graz H, Pedrotta A, Suresh A, Uplekar S, Jauneikaite E, Wheeler N.   +7 more
europepmc   +1 more source

The VHL tumor suppressor at the crossroad of protein folding, aggregation, and cancer

Molecular Oncology, EarlyView.
Mutations, environmental stress, and chaperone dysfunction can destabilize pVHL, promoting its conversion from the native folded state into amyloid‐like assemblies. This transition may contribute to protein storage, cell dormancy, survival, and drug resistance.
Lara Abad, Silvio Carlo Ermanno Tosatto, Emanuela Leonardi   +2 more
wiley   +1 more source

Genotype and phenotype primary data

, 2015
Files include genotype (*_gens.ped & *_gens.map) and phenotype (*_phens.txt) for the GWAS and single marker association analysis (SMA). In GWAS file, the alleles are recoded as 1 and 2. In SMA file, a total of nine mutations were genotyped.
Zhijun Zeng (762625), Zeng, Zhijun, Congying Chen (109993), Chenlong Liu (110008), Wanchang Zhang (413403), Huang, Lusheng, Hui Yang (91136), Lusheng Huang (110011), Shaoming Fang (762626), Yang, Hui, Fang, Shaoming, Liu, Chenlong, Huang, Xiaochang, Zhang, Wanchang, Chen, Congying, Xiaochang Huang (762624)   +15 more
core   +1 more source

Automated extraction of pod phenotype data from micro-computed tomography. [PDF]

Front Plant Sci, 2023
Corcoran E, Siles L, Kurup S, Ahnert S.
europepmc   +1 more source