Concurrent Preimplantation Genetic Testing and Competence Assessment of Human Embryos by Transcriptome Sequencing

基因检测 生物 遗传学 胚胎 基因组 假基因 突变率 基因 计算生物学 植入前遗传学诊断 参考基因组
作者
Yuqian Wang,Ye Li,Xiaohui Zhu,Ming Yang,Yujun Liu,Nan Wang,Chuan Long,Ying Kuo,Ying Zhao Lian,Jin Huang,Jialin Jia,Catherine C. L. Wong,Zhiqiang Yan,Liying Yan,Jie Qiao
出处
期刊:Advanced Science [Wiley]
卷期号:11 (32): e2309817-e2309817 被引量:7
标识
DOI:10.1002/advs.202309817
摘要

Abstract Preimplantation genetic testing (PGT) can minimize the risk of birth defects. However, the accuracy and applicability of routine PGT is confounded by uneven genome coverage and high allele drop‐out rate from existing single‐cell whole genome amplification methods. Here, a method to diagnose genetic mutations and concurrently evaluate embryo competence by leveraging the abundant mRNA transcript copies present in trophectoderm cells is developed. The feasibility of the method is confirmed with 19 donated blastocysts. Next, the method is applied to 82 embryos from 26 families with monogenic defects for simultaneous mutation detection and competence assessment. The accuracy rate of direct mutation detection is up to 95%, which is significantly higher than DNA‐based method. Meanwhile, this approach correctly predicted seven out of eight (87.5%) embryos that failed to implant. Of six embryos that are predicted to implant successfully, four met such expectations (66.7%). Notably, this method is superior at conditions for mutation detection that are challenging when using DNA‐based PGT, such as when detecting pathogenic genes with a high de novo rate, multiple pseudogenes, or an abnormal expansion of CAG trinucleotide repeats. Taken together, this study establishes the feasibility of an RNA‐based PGT that is also informative for assessing implantation competence.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
李子恒发布了新的文献求助10
刚刚
寒生完成签到,获得积分10
1秒前
黄雨淋完成签到,获得积分10
2秒前
DuanYou完成签到,获得积分10
2秒前
3秒前
Criminology34应助ccc采纳,获得10
3秒前
大模型应助謓言采纳,获得10
3秒前
3秒前
量子星尘发布了新的文献求助10
3秒前
4秒前
无奈的晴发布了新的文献求助10
4秒前
5秒前
量子星尘发布了新的文献求助10
7秒前
当年明月发布了新的文献求助10
8秒前
10秒前
10秒前
F1t272发布了新的文献求助10
10秒前
鹿c3完成签到,获得积分10
11秒前
无奈的晴完成签到,获得积分10
11秒前
YY完成签到,获得积分10
12秒前
BowieHuang应助ddw采纳,获得10
13秒前
柒零七发布了新的文献求助10
13秒前
fx发布了新的文献求助10
14秒前
猪猪hero应助科研通管家采纳,获得10
14秒前
猪猪hero应助科研通管家采纳,获得10
14秒前
猪猪hero应助科研通管家采纳,获得10
14秒前
14秒前
顾矜应助科研通管家采纳,获得10
14秒前
猪猪hero应助科研通管家采纳,获得10
14秒前
猪猪hero应助科研通管家采纳,获得10
14秒前
猪猪hero应助科研通管家采纳,获得10
14秒前
14秒前
猪猪hero应助科研通管家采纳,获得10
14秒前
桐桐应助科研通管家采纳,获得10
14秒前
桐桐应助科研通管家采纳,获得10
14秒前
Mic应助科研通管家采纳,获得10
14秒前
14秒前
星辰大海应助科研通管家采纳,获得10
15秒前
Mic应助科研通管家采纳,获得10
15秒前
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
the Oxford Guide to the Bantu Languages 3000
Agyptische Geschichte der 21.30. Dynastie 3000
„Semitische Wissenschaften“? 1510
从k到英国情人 1500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5761761
求助须知:如何正确求助?哪些是违规求助? 5531887
关于积分的说明 15400675
捐赠科研通 4897994
什么是DOI,文献DOI怎么找? 2634640
邀请新用户注册赠送积分活动 1582800
关于科研通互助平台的介绍 1538049