Single Sperm Sequencing Assay for Prediction of Autism Risk

Principal Investigator: 

Christopher E. Mason, Professor of Physiology and Biophysics

Background & Unmet Need

  • Investigating RNA and mutations in sperm is an important tool for predicting risk of diseases such as autism spectrum disorders (ASD), which have been correlated with advanced paternal age
  • Most studies have focused on the assessment of bulk sperm, where only high-frequency variants are detected
  • Single-cell RNA sequencing (scRNA-seq) allows for the discovery and investigation of many cellular subtypes, but is difficult to apply to human germline tissues due to transcriptional and morphological differences from somatic cells
  • Unmet Need:Methods to analyze sperm on a single-cell level to improve prediction of ASD and other diseases

Technology Overview

  • The Technology: Single cell sperm sequencing assay for offspring disease risk assessments and IVF sperm sampling procedures
  • Using the 10x Genomics Chromium platform, the inventors performed single-cell RNA sequencing on six donor sperm samples (scSperm-RNA-seq)
  • PoC Data: Differences between the ASD and control samples revealed distinct expression landscapes and pathways that have potential to be used as biomarkers for sperm health or function
  • ASD samples exhibited enrichment of genes for mTOR signaling, which has been shown to be a potential target for autism, and eIF2 signaling, which is involved in the inhibition of CREB, a transcription factor being investigated in connection with multiple neurodegenerative disorders
  • This method could also be used to replace manual sperm analysis procedures performed as part of an infertility evaluation

Technology Applications

  • Can be used to assess risk of autism and other diseases in future offspring
  • Sperm sample assessment in fertility clinics
  • Sperm analysis for animal husbandry

Technology Advantages

  • Automated and accurate analysis
  • Cost-effective
  • Enables genetic analysis of single sperm cells

Image showing heatmap of representative DEGs (aligned set) from the top and bottom of the list ranked by average log fold change, between the ASD and the Control samples.

Intellectual Property

Patents

  • EP Patent 3,583,213: "Single sperm gene expression and mutation analysis for prediction of diseases." Issued April 19, 2023
  • US Patent Application: US20200010896A1. "Single sperm gene expression and mutation analysis for prediction of diseases." Published Jan 09, 2020.

Cornell Reference

  • 7698

Contact Information

Louise Sarup, Ph.D

For additional information please contact

Louise Sarup
Associate Director, Business Development and Licensing
Phone: (646) 962-3523
Email: lss248@cornell.edu