The CRISPR-Cas9 technology has revolutionized the scope and pace of biomedical research, enabling the targeting of specific genomic sequences for a wide spectrum of applications. Here we describe assays to functionally interrogate mutations identified in cancer cells utilizing both CRISPR-Cas9 nuclease and base editors. We provide guidelines to interrogate known cancer driver mutations or functionally screen for novel vulnerability mutations with these systems in characterized human cancer cell lines. The proposed platform should be transferable to primary cancer cells, opening up a path for precision oncology on a functional level.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/978-1-0716-2376-3_18 | DOI Listing |
Brief Bioinform
November 2024
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Buk-gu, Gwangju 61005, Republic of Korea.
Combination therapies have emerged as a promising approach for treating complex diseases, particularly cancer. However, predicting the efficacy and safety profiles of these therapies remains a significant challenge, primarily because of the complex interactions among drugs and their wide-ranging effects. To address this issue, we introduce DD-PRiSM (Decomposition of Drug-Pair Response into Synergy and Monotherapy effect), a deep-learning pipeline that predicts the effects of combination therapy.
View Article and Find Full Text PDFPlant Cell Rep
January 2025
School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
An endoplasmic reticulum-localized Cu transporter, PhHMA5II1, interacts with copper chaperones and plays an important role in Cu detoxification in petunia. Copper (Cu) is an essential element for plant growth but toxic when present in excess. In this study we present the functional characterization of a petunia (Petunia hybrida) P-type heavy-metal ATPases (HMAs), PhHMA5II1.
View Article and Find Full Text PDFNat Commun
January 2025
Bioinformatics and computational systems biology of cancer, Institut Curie, Inserm U900, PSL Research University, Paris, France.
Immunotherapy is improving the survival of patients with metastatic non-small cell lung cancer (NSCLC), yet reliable biomarkers are needed to identify responders prospectively and optimize patient care. In this study, we explore the benefits of multimodal approaches to predict immunotherapy outcome using multiple machine learning algorithms and integration strategies. We analyze baseline multimodal data from a cohort of 317 metastatic NSCLC patients treated with first-line immunotherapy, including positron emission tomography images, digitized pathological slides, bulk transcriptomic profiles, and clinical information.
View Article and Find Full Text PDFExp Hematol Oncol
January 2025
Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.
Background: Radiotherapy is the primary treatment modality for most head and neck cancers (HNCs). Despite the addition of chemotherapy to radiotherapy to enhance its tumoricidal effects, almost a third of HNC patients suffer from locoregional relapses. Salvage therapy options for such recurrences are limited and often suboptimal, partly owing to divergent tumor and microenvironmental factors underpinning radioresistance.
View Article and Find Full Text PDFSignal Transduct Target Ther
January 2025
NHC Key Laboratory of Systems Biology of Pathogens, State Key Laboratory of Respiratory Health and Multimorbidity, National Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
The global spread of Severe Acute Respiratory Syndrome Coronavirus 2. (SARS-CoV-2) and its variant strains, including Alpha, Beta, Gamma, Delta, and now Omicron, pose a significant challenge. With the constant evolution of the virus, Omicron and its subtypes BA.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!