The purpose of this study is to understand the underlying mechanisms of infertility caused by unknown factors. The investigator propose to identify small non-coding RNA (sncRNA) biomarkers of infertility and advance towards developing a more accurate and robust approach for infertility diagnosis.
The goal of the study is to identify small non-coding RNA signatures of infertility in men through the comparison of sperm sncRNA profiles from around 100 men (21-50 years of age). The participants will be classified into fertile and infertile groups by the conventional method. Through the project, the investigator intends to understand the underlying mechanisms of idiopathic infertility. By utilizing semen as liquid biopsy, through sperm sncRNA profiling and comparison (infertile vs fertile). The investigator proposes to identify the sncRNA (miRNAs, piRNAs and tRFs) as biomarkers of infertility. The investigator proposes to generate a validated signature of sncRNAs that will help in selecting high quality sperms for IVF.
Study Type
OBSERVATIONAL
Enrollment
100
Human Development Research Centre (HDRC)
Singapore, Singapore
Semen/Sperm quantity analysis
sperm count and concentration
Time frame: 1 week
Semen/Sperm quality analysis
semen pH, semen volume, sperm motility, sperm morphology, sperm vitality
Time frame: 1 week
Fertility classification
Classification into fertile/infertile groups based on the fertility measures.
Time frame: 1 week
Sperm RNA extraction and sequencing
Sperm RNA extraction and sequencing
Time frame: 3 months
Expression profiling of sncRNA
Counts of miRNA, piRNA, tRF from the sequenced data through Bioinformatics analysis. All three sncRNA will be quantified from the RNA sequencing data using bioinformatics tools, with the same unit of measure.
Time frame: 3-6 months
Comparison of the expression profiles
Comparison of the expression profiles between the two groups (infertile vs fertile)
Time frame: 3-6 months
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