A Comprehensive Characterization of Small RNA Profiles by Massively Parallel Sequencing in Six Forensic Body Fluids/Tissue

Genes (Basel). 2022 Aug 25;13(9):1530. doi: 10.3390/genes13091530.

Abstract

Body fluids/tissue identification (BFID) is an essential procedure in forensic practice, and RNA profiling has become one of the most important methods. Small non-coding RNAs, being expressed in high copy numbers and resistant to degradation, have great potential in BFID but have not been comprehensively characterized in common forensic stains. In this study, the miRNA, piRNA, snoRNA, and snRNA were sequenced in 30 forensic relevant samples (menstrual blood, saliva, semen, skin, venous blood, and vaginal secretion) using the BGI platform. Based on small RNA profiles, relative specific markers (RSM) and absolute specific markers (ASM) were defined, which can be used to identify a specific body fluid/tissue out of two or six, respectively. A total of 5204 small RNAs were discovered including 1394 miRNAs (including 236 novel miRNA), 3157 piRNAs, 636 snoRNAs, and 17 snRNAs. RSMs for 15 pairwise body fluid/tissue groups were discovered by differential RNA analysis. In addition, 90 ASMs that were specifically expressed in a certain type of body fluid/tissue were screened, among them, snoRNAs were reported first in forensic genetics. In brief, our study deepened the understanding of small RNA profiles in forensic stains and offered potential BFID markers that can be applied in different forensic scenarios.

Keywords: forensic stains; massively parallel sequencing; miRNA; piRNA; snoRNA; unique molecular identifiers.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers / metabolism
  • Body Fluids* / metabolism
  • Female
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Menstruation
  • MicroRNAs* / metabolism
  • RNA, Small Interfering / genetics
  • RNA, Small Interfering / metabolism
  • RNA, Small Nucleolar / metabolism

Substances

  • Biomarkers
  • MicroRNAs
  • RNA, Small Interfering
  • RNA, Small Nucleolar

Grants and funding

This research was funded by the National Natural Science Foundation of China (Grant No. 81971798).