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排序方式: 共有10000条查询结果,搜索用时 15 毫秒
81.
Triposkiadis Filippos Xanthopoulos Andrew Skoularigis John Starling Randall C. 《Heart failure reviews》2022,27(6):1991-2003
Heart Failure Reviews - The nitric oxide (NO)–guanylate cyclase (GC)–cyclic guanosine monophosphate (cGMP) pathway plays an important role in cardiovascular, pulmonary and renal... 相似文献
82.
Boothe Emily Olenderek Marta Noyola M. Cristina Rushing Julia Allred Erinn Kaplan Sebastian 《Zeitschrift fur Gesundheitswissenschaften》2022,30(6):1373-1380
Journal of Public Health - Group prenatal care provides an alternative model of prenatal care that allows for collaboration with peers, education, discussion, and self-management training in... 相似文献
83.
Peng L. Q. Wu X. X. Chen G. Cai H. Z. Tang Y. P. Chen Q. Y. Chen X. Y. 《Bulletin of experimental biology and medicine》2022,173(3):335-340
Bulletin of Experimental Biology and Medicine - This study aimed to explore the effects of Wenyang Zhenshuai granules (WZG) on the morphology of cardiomyocytes, cell viability, and the expression... 相似文献
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- DNA is the sequence that codes for proteins.
- Messenger RNA is transcribed from the DNA sequence of genes and translated into protein.
- It can be difficult to predict how a change in the DNA sequence will affect messenger RNA and protein quantity and quality.
- DNA translocation changes can cause the joining of sequences from two different genes or different parts of the same gene.
- DNA sequencing is often used clinically to predict how DNA changes might affect proteins.
- Alternatively, RNA sequencing can be used as a more direct measure of the effect of DNA changes on the protein products.
- This sequencing is important for identifying changes in cancer that may indicate response to targeted therapy, prognosis, or diagnosis.
86.
Sigve Nakken Sveinung Gundersen Fabian L. M. Bernal Dimitris Polychronopoulos Eivind Hovig Jørgen Wesche 《International journal of cancer. Journal international du cancer》2023,153(10):1819-1828
Genome-scale screening experiments in cancer produce long lists of candidate genes that require extensive interpretation for biological insight and prioritization for follow-up studies. Interrogation of gene lists frequently represents a significant and time-consuming undertaking, in which experimental biologists typically combine results from a variety of bioinformatics resources in an attempt to portray and understand cancer relevance. As a means to simplify and strengthen the support for this endeavor, we have developed oncoEnrichR, a flexible bioinformatics tool that allows cancer researchers to comprehensively interrogate a given gene list along multiple facets of cancer relevance. oncoEnrichR differs from general gene set analysis frameworks through the integration of an extensive set of prior knowledge specifically relevant for cancer, including ranked gene-tumor type associations, literature-supported proto-oncogene and tumor suppressor gene annotations, target druggability data, regulatory interactions, synthetic lethality predictions, as well as prognostic associations, gene aberrations and co-expression patterns across tumor types. The software produces a structured and user-friendly analysis report as its main output, where versions of all underlying data resources are explicitly logged, the latter being a critical component for reproducible science. We demonstrate the usefulness of oncoEnrichR through interrogation of two candidate lists from proteomic and CRISPR screens. oncoEnrichR is freely available as a web-based service hosted by the Galaxy platform ( https://oncotools.elixir.no ), and can also be accessed as a stand-alone R package ( https://github.com/sigven/oncoEnrichR ). 相似文献
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Marie V. Plaisime PhD MPH Marie Jipguep-Akhtar PhD Joseph J. Locascio PhD Harolyn M. E. Belcher MD MHS Rachel R. Hardeman PhD MPH Katherine Picho-Kiroga PhD Sylvia P. Perry PhD Sean M. Phelan PhD MPH Michelle van Ryn PhD LMFT MPH John F. Dovidio PhD 《Health services research》2023,58(Z2):229-237