The screening and validation process of miR-223-3p for saliva identification

Legal Medicine - Tập 65 - Trang 102312 - 2023
Huixiang Chen1,2, Sheng Hu1, Rui Yang3, Shuxiao Hu1,4, Qianwei Yao1,2, Yixia Zhao1, Jie Lian4, Anquan Ji1, Yang Cao3, Qifan Sun1
1MPS’s Key Laboratory of Forensic Genetics, National Engineering Laboratory for Crime Scene Evidence Investigation and Examination, Institute of Forensic Science, Ministry of Public Security (MPS), Beijing 100038, China
2Faculty of Forensic Sciences, Shanxi Medical University, Taiyuan 030001, Shanxi, China
3Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, 610065, China
4School of Investigation, People’s Public Security University of China, Beijing 100038, China

Tài liệu tham khảo

An, 2012, Body fluid identification in forensics, BMB Rep., 45, 545, 10.5483/BMBRep.2012.45.10.206

Bartel, 2004, MicroRNAs: genomics, biogenesis, mechanism, and function, Cell, 116, 281, 10.1016/S0092-8674(04)00045-5

Park, 2014, Microarray screening and qRT-PCR evaluation of microRNA markers for forensic body fluid identification, Electrophoresis, 35, 3062, 10.1002/elps.201400075

Seashols-Williams, 2016, High-throughput miRNA sequencing and identification of biomarkers for forensically relevant biological fluids, Electrophoresis, 37, 2780, 10.1002/elps.201600258

Wang, 2016, Characterization of microRNA expression profiles in blood and saliva using the Ion Personal Genome Machine ® System (Ion PGM™ System), Forensic Sci. Int. Genet., 20, 140, 10.1016/j.fsigen.2015.10.008

Courts, 2011, Specific Micro-RNA Signatures for the Detection of Saliva and Blood in Forensic Body-fluid Identification, J. Forensic Sci., 56, 1464, 10.1111/j.1556-4029.2011.01894.x

Wang, 2015, Identification of Saliva Using MicroRNA Biomarkers for Forensic Purpose, J. Forensic Sci., 60, 702, 10.1111/1556-4029.12730

Wei, 2023, Screening and evaluation of endogenous reference genes for miRNA expression analysis in forensic body fluid samples, Forensic Sci. Int. Genet., 63, 10.1016/j.fsigen.2023.102827

Bruijns, 2018, Massively parallel sequencing techniques for forensics: A review, Electrophoresis, 39, 2642, 10.1002/elps.201800082

Liu Y, He H, Xiao Z, Ji A, Ye J, Sun Q, Cao Y, A systematic analysis of miRNA markers and classification algorithms for forensic body fluid identification, Briefings in Bioinformatics. 22 (4) (2021) 10.1093/bib/bbaa324.

Kozomara, 2019, miRBase: from microRNA sequences to function, Nucleic Acids Res., 47, D155, 10.1093/nar/gky1141

Friedländer, 2012, miRDeep2 accurately identifies known and hundreds of novel microRNA genes in seven animal clades, Nucleic Acids Res., 40, 37, 10.1093/nar/gkr688

Kanehisa, 2008, KEGG for linking genomes to life and the environment, Nucleic Acids Res., 36, D480, 10.1093/nar/gkm882

Harris, 2004, The Gene Ontology (GO) database and informatics resource, Nucleic Acids Res., 32, D258, 10.1093/nar/gkh036

He, 2004, MicroRNAs: small RNAs with a big role in gene regulation, Nat. Rev. Genet., 5, 522, 10.1038/nrg1379

Fang X, Zeng X, Wang M, Qin L, Tan C, Wu J, Enrichment analysis of differentially expressed genes in chronic heart failure, Ann Palliat Med. 10 (8) (2021) 9049-9056, 10.21037/apm-21-1854.

Gu, 2018, Identification of Gastric Cancer-Related Circular RNA through Microarray Analysis and Bioinformatics Analysis, Biomed Res. Int., 2018, 2381680, 10.1155/2018/2381680

Li, 2019, FN1, SPARC, and SERPINE1 are highly expressed and significantly related to a poor prognosis of gastric adenocarcinoma revealed by microarray and bioinformatics, Sci. Rep., 9, 7827, 10.1038/s41598-019-43924-x

Yang, 2020, Identification of Key Genes and Pathways in Myeloma side population cells by Bioinformatics Analysis, Int. J. Med. Sci., 17, 2063, 10.7150/ijms.48244