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To learn more about the function of a gene, researchers can observe what happens when the gene is inactivated or “knocked out,” by creating genetically engineered knockout animals. Knockout mice have been particularly useful as models for human diseases such as cancer, Parkinson’s disease, and diabetes.

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Related Experiment Video

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A High Throughput in situ Hybridization Method to Characterize mRNA Expression Patterns in the Fetal Mouse Lower Urogenital Tract
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Targeted gene expression profiling for accurate endometrial receptivity testing.

Alvin Meltsov1,2, Merli Saare3,4, Hindrek Teder1,5

  • 1Competence Centre On Health Technologies, 50411, Tartu, Estonia.

Scientific Reports
|August 26, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a new TAC-seq method for endometrial dating, accurately predicting the window of implantation (WOI) and identifying displaced WOI in women with recurrent implantation failure.

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Area of Science:

  • Reproductive biology and molecular diagnostics.
  • Genomics and transcriptomics for personalized medicine.

Background:

  • Endometrial receptivity is crucial for successful implantation.
  • Accurate timing of the window of implantation (WOI) is essential for fertility treatments.
  • Current methods for endometrial dating have limitations.

Purpose of the Study:

  • To develop and validate a novel analytical pipeline for endometrial dating using Targeted Allele Counting by sequencing (TAC-seq).
  • To assess the utility of this pipeline in identifying displaced WOI in women with recurrent implantation failure (RIF).

Main Methods:

  • A novel TAC-seq pipeline was developed for endometrial gene expression profiling.
  • Differential expression analysis was performed on endometrial biopsies across different cycle phases.
  • A quantitative predictor model was trained and validated on healthy women's samples.
  • The model was applied to samples from patients with RIF.

Main Results:

  • The developed beREADY screening model achieved high accuracy (98.2%) in validation.
  • A displaced WOI was detected in 1.8% of fertile women.
  • A significantly higher proportion (15.9%) of women with RIF showed a shifted WOI compared to fertile controls (p=0.012).

Conclusions:

  • The TAC-seq based beREADY model provides a sensitive and accurate method for predicting endometrial receptivity.
  • This tool can identify displaced WOI, offering potential insights into RIF.
  • Personalized timing of WOI is achievable through expressional profiling.