DNA processing enzymes, such as DNA polymerases and endonucleases, have found many applications in biotechnology, molecular diagnostics, and synthetic biology, among others. The development of enzymes with controllable activity, such as hot-start or light-activatable versions, has boosted their applications and improved the sensitivity and specificity of the existing ones. However, current approaches to produce controllable enzymes are experimentally demanding to develop and case-specific. Here, we introduce a simple and general method to design light-start DNA processing enzymes. In order to prove its versatility, we applied our method to three DNA polymerases commonly used in biotechnology, including the Phi29 (mesophilic), Taq, and Pfu polymerases, and one restriction enzyme. Light-start enzymes showed suppressed polymerase, exonuclease, and endonuclease activity until they were re-activated by an UV pulse. Finally, we applied our enzymes to common molecular biology assays and showed comparable performance to commercial hot-start enzymes.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989547 | PMC |
http://dx.doi.org/10.1093/nar/gkab1212 | DOI Listing |
Trends Genet
January 2025
State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, PKU-THU Center for Life Sciences, Peking University, Beijing 100871, China; Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies, Chengdu, Sichuan 610213, China. Electronic address:
DNA replication ensures the precise transmission of genetic information from parent to daughter cells. In eukaryotes, this process involves the replication of every base pair within a highly complex chromatin environment, encompassing multiple levels of chromatin structure and various chromatin metabolic processes. Recent evidence has demonstrated that DNA replication is strictly regulated in both temporal and spatial dimensions by factors such as 3D genome structure and transcription, which is crucial for maintaining genomic stability in each cell cycle.
View Article and Find Full Text PDFBiochim Biophys Acta Rev Cancer
January 2025
Kunming University of Science and Technology, Medical School, Kunming 650500, China.
SUMOylation is a protein modification process that involves the covalent attachment of a small ubiquitin-like modifier (SUMO) to a specific lysine residue on the target protein. This modification can influence the function, localization, stability, and interactions of proteins, thereby regulating various cellular processes. Altering the SUMOylation of certain proteins is expected to be a potential approach for treating specific cancers and diseases.
View Article and Find Full Text PDFTalanta
January 2025
Department of Transfusion Medicine, West China Hospital of Sichuan University, Sichuan, 610041, PR China. Electronic address:
As a core genetic biomolecule in ecosystems, the metabolic processes of DNA, particularly DNA replication and damage repair, are regulated by Flap endonuclease 1 (FEN1). Abnormal expression and dysfunction of FEN1 may lead to genomic instability, which can induce a variety of chromosome-associated disorders, including tumours. FEN1 has emerged as a prominent tumour marker.
View Article and Find Full Text PDFTheriogenology
January 2025
Robinson Research Institute, The University of Adelaide, South Australia, Australia; Discipline of Reproduction and Development, School of Biomedicine, The University of Adelaide, South Australia, Australia. Electronic address:
In vitro embryo production (IVP) is used in the cattle industry to increase the rate of genetic gain. IVP uses semen that has been frozen and thawed, a process that renders sperm less viable than sperm from fresh semen. Granulocyte macrophage colony stimulating factor (GM-CSF) is present in bovine seminal plasma, while its receptor is present on bovine sperm.
View Article and Find Full Text PDFPer Med
January 2025
Department of Clinical Pharmacy, Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Efforts have been made to leverage technology to accurately identify tumor characteristics and predict how each cancer patient may respond to medications. This involves collecting data from various sources such as genomic data, histological information, functional drug profiling, and drug metabolism using techniques like polymerase chain reaction, sanger sequencing, next-generation sequencing, fluorescence in situ hybridization, immunohistochemistry staining, patient-derived tumor xenograft models, patient-derived organoid models, and therapeutic drug monitoring. The utilization of diverse detection technologies in clinical practice has made "individualized treatment" possible, but the desired level of accuracy has not been fully attained yet.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!