Results 141 to 150 of about 72,747,221 (383)

Nicotinamide N‐methyltransferase promotes drug resistance in lung cancer, as revealed by nascent proteomic profiling

Molecular Oncology, EarlyView.
AZD9291 has shown promise in targeted cancer therapy but is limited by resistance. In this study, we employed metabolic labeling and LC–MS/MS to profile time‐resolved nascent protein perturbations, allowing dynamic tracking of drug‐responsive proteins. We demonstrated that increased NNMT expression is associated with drug resistance, highlighting NNMT ...
Zhanwu Hou, Zhen Wang, Fei Yang, Xiao Han, Lei Li, Huadong Liu   +5 more
wiley   +1 more source

Dynamic Analysis of Railway Vehicle–Track Interaction: Modeling Elastic–Viscous Track Properties and Experimental Validation

Applied Sciences
This study investigates the dynamic interaction between railway vehicles and tracks, focusing on the effects of elastic–viscous properties of spring suspensions and track inertia.
Vladimir Gelevich Solonenko, Janat Sultanbekovich Musayev, Narzankul Musayevna Makhmetova, Arman Aydinuly Malik, Gulnaz Tleubaevna Yermoldina, Semyat Turganzhanovich Akhatov, Nataliya Viktorovna Ivanovtseva   +6 more
doaj   +1 more source

Single-atom alloy catalysts: structural analysis, electronic properties and catalytic activities

, 2020
Tianjun Zhang, Andrew G. Walsh, Jihong Yu, Peng Zhang   +3 more
openalex   +2 more sources

Differential expression analysis for sequence count data [PDF]

, 2010
Simon Anders, Wolfgang Huber
openalex   +1 more source

PARP inhibitors elicit distinct transcriptional programs in homologous recombination competent castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham, Jasibel Vasquez‐Gonzalez, Samantha M. Barnada, Salome Tchotorlishvili, Latese Jones, Ryan Maguire, Genevieve Lewis, Kinza Rizwan, Jenny Deng, Salma Koachar, Drithi Patel, Hailey Shankle, Tessa Mulders, Namra Ajmal, Charalambos Solomides, Emad S. Alnemri, Teresa F. Alnemri, Ayesha A. Shafi, Leonard G. Gomella, Wm Kevin Kelly, Steven B. McMahon, Matthew J. Schiewer   +21 more
wiley   +1 more source

Are There Misconceptions in My Class? Misconception Analysis with T3-SF (Three Tier-Test on Static Fluid)

Tarbiyah: Jurnal Ilmiah Kependidikan
This study aims to identify the misconceptions of 20 students in class XI MIPA in one of the Senior High Schools in Sumedang Regency, Indonesia. The selection of research subjects used a random sampling technique.
Devi Yulianty Surya Atmaja, Achmad Samsudin   +1 more
doaj   +1 more source

Galaxy HiCExplorer: a web server for reproducible Hi-C data analysis, quality control and visualization [PDF]

, 2018
Joachim Wolff, Vivek Bhardwaj, Stephan Nothjunge, Gautier Richard, Gina Renschler, Ralf Gilsbach, Thomas Manke, Rolf Backofen, Fidel Ramírez, Björn Grüning   +9 more
openalex   +1 more source

How to conduct a bibliometric analysis: An overview and guidelines

, 2021
Naveen Donthu, Satish Kumar, D. Mukherjee, Nitesh Pandey, Weng Marc Lim   +4 more
semanticscholar   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

Proteomic Challenges: Sample Preparation Techniques for Microgram-Quantity Protein Analysis from Biological Samples [PDF]

, 2015
Peter E. Feist, Amanda B. Hummon
openalex   +1 more source