Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Erteng Jia"'
Autor:
Erteng Jia, Huajuan Shi, Ying Wang, Ying Zhou, Zhiyu Liu, Min Pan, Yunfei Bai, Xiangwei Zhao, Qinyu Ge
Publikováno v:
BMC Genomics, Vol 23, Iss 1, Pp 1-4 (2022)
Externí odkaz:
https://doaj.org/article/4519c65d387f4f79a49796274ef2a9ab
Autor:
Erteng Jia, Huajuan Shi, Ying Wang, Ying Zhou, Zhiyu Liu, Min Pan, Yunfei Bai, Xiangwei Zhao, Qinyu Ge
Publikováno v:
BMC Genomics, Vol 22, Iss 1, Pp 1-15 (2021)
Abstract Background Single-cell RNA sequencing (scRNA-seq) provides new insights to address biological and medical questions, and it will benefit more from the ultralow input RNA or subcellular sequencing. Results Here, we present a highly sensitive
Externí odkaz:
https://doaj.org/article/b0be696efd3f4fac88cee77b65386bc1
Autor:
Huajuan Shi, Min Pan, Yuqi Sheng, Erteng Jia, Ying Wang, Juan Dong, Jing Tu, Yunfei Bai, Lingbo Cai, Qinyu Ge
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 10 (2022)
Background: Previous studies have shown that a large number of valuable and functional cell-free RNAs (cfRNAs) were found in follicular fluid. However, the species and characteristics of follicular fluid cfRNAs have not been reported. Furthermore, th
Externí odkaz:
https://doaj.org/article/5871c45a8e5c496db9993b1a9b67cbd0
Autor:
Ying Zhou, Erteng Jia, Yuqi Sheng, Yi Qiao, Ying Wang, Huajuan Shi, Zhiyu Liu, Min Pan, Jing Tu, Yunfei Bai, Xiangwei Zhao, Qinyu Ge, Zuhong Lu
Publikováno v:
ACS Applied Materials & Interfaces. 14:19154-19167
Transcriptome sequencing has emerged as an important research tool for exploring the mysteries of life at the single-cell level. However, its wide application is limited by the bias associated with the amplification reactions which is essential for l
Autor:
Zhiyu Liu, Erteng Jia, Huajuan Shi, Min Pan, Ying Zhou, Ying Wang, Qinyu Ge, Yunfei Bai, Xiangwei Zhao
Publikováno v:
BMC Genomics, Vol 22, Iss 1, Pp 1-15 (2021)
BMC Genomics
BMC Genomics
Background Single-cell RNA sequencing (scRNA-seq) provides new insights to address biological and medical questions, and it will benefit more from the ultralow input RNA or subcellular sequencing. Results Here, we present a highly sensitive library c
Autor:
Qinyu Ge, Ying Zhou, Erteng Jia, YHuajuan Shi, Zhiyu Liu, Yuqi Sheng, Min Pan, Jing Tu, Zuhong Lu
Background Presently, the field of differential expression analysis of RNA-seq data is still in its infancy with new approaches constantly being proposed. Combining deep neural networks to explore gene expression information in RNA-seq data provides
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26e17872c1433603536a25e6d7b60e2c
https://doi.org/10.21203/rs.3.rs-1663687/v1
https://doi.org/10.21203/rs.3.rs-1663687/v1
Autor:
Yi Qiao, Erteng Jia, Huajuan Shi, Ying Zhou, Qinyu Ge, Zhiyu Liu, Xiangwei Zhao, Min Pan, Yunfei Bai
Publikováno v:
Analytical and Bioanalytical Chemistry. 413:4397-4405
Multiple displacement amplification (MDA) is a popular single-cell whole-genome amplification (WGA) technique that can greatly improve the amplification efficiency of single-cell genomes. However, there is an inherent problem that cannot be completel
Publikováno v:
Analytica Chimica Acta. 1142:38-47
The pre-processing of samples is important factors that affect the results of the RNA-sequencing (RNA-seq) data. However, the effects of frozen sections storage conditions on the integrity of RNA and sequencing results haven’t been reported. The st
Autor:
Ying Zhou, Erteng Jia, Huajuan Shi, Zhiyu Liu, Yuqi Sheng, Min Pan, Jing Tu, Qinyu Ge, Zuhong Lu
RNA degradation can significantly affect the results of gene expression profiling, with subsequent analysis failing to faithfully represent the initial gene expression level. It is urgent to have an artificial intelligence approach to better utilize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::297b741c55a49937d2b7b25c0d74acb4
https://doi.org/10.21203/rs.3.rs-1586379/v1
https://doi.org/10.21203/rs.3.rs-1586379/v1
Publikováno v:
Prenatal Diagnosis. 40:911-917
The discovery of cell-free DNA (cfDNA) in maternal plasma has opened up new promises for the development of non-invasive prenatal testing (NIPT). Application of cfDNA in NIPT of fetus diseases and abnormalities is restricted by the low amount of feta