Construction and Screening of a Lentiviral Secretome Library

التفاصيل البيبلوغرافية
العنوان: Construction and Screening of a Lentiviral Secretome Library
المؤلفون: Sean A. Reed, Panpan Jia, Xiaozhou Luo, Tao Liu, Huailei Ma, Peter G. Schultz, H. Benjamin Larman
المصدر: Cell chemical biology. 24(6)
سنة النشر: 2016
مصطلحات موضوعية: 0301 basic medicine, Proteome, Clinical Biochemistry, Computational biology, Biology, 01 natural sciences, Biochemistry, DNA sequencing, 03 medical and health sciences, Open Reading Frames, Drug Discovery, Amino Acid Sequence, ORFS, Autocrine signalling, Molecular Biology, Gene, Gene Library, Pharmacology, Genetics, 010405 organic chemistry, Lentivirus, Phenotype, 0104 chemical sciences, Open reading frame, 030104 developmental biology, Secretory protein, Molecular Medicine
الوصف: Over 2,000 human proteins are predicted to be secreted, but the biological function of the many of these proteins is still unknown. Moreover, a number of these proteins may act as new therapeutic agents or be targets for the development of therapeutic antibodies. To further explore the extracellular proteome, we have developed a secretome-enriched open reading frame (ORF) library that can be readily screened for autocrine activity in cell-based phenotypic or reporter assays. Next-generation sequencing (NGS) and database analysis predict that the library contains approximately 900 ORFs encoding known secreted proteins (accounting for 77.8% of the library), as well as genes encoding potentially unknown secreted proteins. In a proof-of-principle study, human TF-1 cells were screened for proliferative factors, and the known cytokine GMCSF was identified as a dominant hit. This library offers a relatively low-cost and straightforward approach for functional autocrine screens of secreted proteins.
تدمد: 2451-9448
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8cacb47fe33de0943da905ec947fac8Test
https://pubmed.ncbi.nlm.nih.gov/28602759Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....d8cacb47fe33de0943da905ec947fac8
قاعدة البيانات: OpenAIRE