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Biomarker of granulosa cells used for polycystic ovary syndrome (PCOS) diagnosis, and screening method and diagnostic kit thereof

A biomarker and cell biology technology, applied in the field of granulosa cell biomarkers and their screening methods and diagnostic kits, can solve the problems of difficult detection of polycystic ovary syndrome patients, low sensitivity and accuracy, and achieve good technology The effects of versatility and wide application prospects

Pending Publication Date: 2020-02-04
SHANGHAI JIAO TONG UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, the above-mentioned techniques are not easy to detect patients with polycystic ovary syndrome without obvious symptoms, and the sensitivity and accuracy are low

Method used

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  • Biomarker of granulosa cells used for polycystic ovary syndrome (PCOS) diagnosis, and screening method and diagnostic kit thereof
  • Biomarker of granulosa cells used for polycystic ovary syndrome (PCOS) diagnosis, and screening method and diagnostic kit thereof
  • Biomarker of granulosa cells used for polycystic ovary syndrome (PCOS) diagnosis, and screening method and diagnostic kit thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0096] 1. Screening of diagnostic markers by high-throughput sequencing method of combined analysis of RNA-seq, miRNA-seq and MBD-seq:

[0097] 1. Extraction and quality inspection of total RNA

[0098] 1) Use the method for isolating RNA in the TRIzol manual to extract total RNA, and store it at -80°C if not used immediately. This step can also be replaced with other similar reagents and kits available in the market.

[0099] 2) Use Nanodrop 2000 to quantify the total RNA, the ratio of A260 / 280 of good quality total RNA should be between 2.0-2.2.

[0100] 3) Use 0.8% agarose gel electrophoresis to detect the integrity of RNA. The electrophoresis buffer was 0.5×TBE, 120V constant voltage electrophoresis for 15min, and then observed on a gel imager. The complete RNA sample should show 3 clear bands in the electropherogram, representing 28S rRNA, 18S rRNA and 5S rRNA respectively from top to bottom (such as figure 1 ).

[0101] The quality inspection results of the total RN...

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Abstract

The invention relates to a biomarker of granulosa cells used for polycystic ovary syndrome (PCOS) diagnosis as well as a screening method and a diagnostic kit thereof. The novel diagnostic biomarker is discovered by screening PCOS-related biomarkers in the whole genome by adopting combined analysis of RNA-seq, miRNA-seq and MBD-seq. The biomarker comprises miR-429, miR-141-3p and miR-126-3p, and / or XIAP gene, BRD3 gene, MAPK14 gene and SLC7A5 gene. Compared with the prior art, the biomarker of granulosa cells used for PCOS diagnosis has the advantages of being high in detection sensitivity, high in accuracy and so on.

Description

technical field [0001] The invention relates to the technical field of biological detection, in particular to a granulosa cell biomarker for PCOS diagnosis, a screening method and a diagnostic kit. Background technique [0002] Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder in women of reproductive age. The most common clinical manifestation of the disease is hyperandrogenemia in women, resulting in menstrual disorders, oligomenorrhea, amenorrhea or irregular vaginal bleeding, infertility, obesity, hirsutism, endometrial hyperplasia and malignant changes, and bilateral or unilateral The ovary shows polycystic changes and is often accompanied by an obese phenotype; insulin resistance occurs in the endocrine metabolism of glycolipids, which in turn leads to complications such as diabetes, and long-term complications include cardiovascular disease and endometrial cancer. According to the Rotterdam ESHRE / ASRM (2003) standard, the prevalence rate o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6883
CPCC12Q1/6883C12Q2600/158C12Q2600/178C12Q2600/154
Inventor 康亚妮毛湛睿赵晖
Owner SHANGHAI JIAO TONG UNIV
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