Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Shuilin Jin"'
Publikováno v:
Cell & Bioscience, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract Background Single-cell RNA sequencing (scRNA-seq) provides a powerful tool to capture transcriptomes at single-cell resolution. However, dropout events distort the gene expression levels and underlying biological signals, misleading the down
Externí odkaz:
https://doaj.org/article/1b04e9d0009e4ff78e44a821f05a4a1b
Autor:
Hao Liu, Danxiu Li, Lina Sun, Hongqiang Qin, Ahui Fan, Lingnan Meng, Ramona Graves-Deal, Sarah E. Glass, Jeffrey L. Franklin, Qi Liu, Jing Wang, Timothy J. Yeatman, Hao Guo, Hong Zong, Shuilin Jin, Zhiyu Chen, Ting Deng, Ying Fang, Cunxi Li, John Karijolich, James G. Patton, Xin Wang, Yongzhan Nie, Daiming Fan, Robert J. Coffey, Xiaodi Zhao, Yuanyuan Lu
Publikováno v:
Molecular Cancer, Vol 21, Iss 1, Pp 1-18 (2022)
Abstract Background Epithelial-to-mesenchymal transition (EMT) is a process linked to metastasis and drug resistance with non-coding RNAs (ncRNAs) playing pivotal roles. We previously showed that miR-100 and miR-125b, embedded within the third intron
Externí odkaz:
https://doaj.org/article/2ff435c04f444160b7d52b6cb613bda6
Publikováno v:
BMC Bioinformatics, Vol 21, Iss S16, Pp 1-9 (2020)
Abstract Background Single-cell RNA sequencing can be used to fairly determine cell types, which is beneficial to the medical field, especially the many recent studies on COVID-19. Generally, single-cell RNA data analysis pipelines include data norma
Externí odkaz:
https://doaj.org/article/c28393f2bd7a4770ae3bbb6f51ec4f59
Autor:
Nan Wang, Jun Zhang, Li Xu, Jing Qi, Beibei Liu, Yiyang Tang, Yinan Jiang, Liang Cheng, Qinghua Jiang, Xunbo Yin, Shuilin Jin
Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-16 (2020)
Abstract Background With the rapid development of high-throughput sequencing technologies, many datasets on the same biological subject are generated. A meta-analysis is an approach that combines results from different studies on the same topic. The
Externí odkaz:
https://doaj.org/article/03827e02dbe24acfb05c48fb82a0d953
Publikováno v:
IEEE Access, Vol 8, Pp 129679-129688 (2020)
The single-cell RNA sequencing provides a way to obtain marker genes of different cells, which lays the foundation for discovering new cell types. The general strategy of achieving this goal is to build a clustering pipeline and derive differentially
Externí odkaz:
https://doaj.org/article/9179488dece245fb9e9600439371b617
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 1 (2022)
Externí odkaz:
https://doaj.org/article/ad7203f5f611403082ec70fd5be195d6
Autor:
Zhifa Han, Tao Wang, Rui Tian, Wenyang Zhou, Pingping Wang, Peng Ren, Jian Zong, Yang Hu, Shuilin Jin, Qinghua Jiang
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S25, Pp 1-12 (2019)
Abstract Background The association between BIN1 rs744373 variant and Alzheimer’s disease (AD) had been identified by genome-wide association studies (GWASs) as well as candidate gene studies in Caucasian populations. But in East Asian populations,
Externí odkaz:
https://doaj.org/article/8cc7abece2bd4456a58ff48cb89e9b09
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 6, p e1009118 (2021)
The single-cell RNA sequencing (scRNA-seq) technologies obtain gene expression at single-cell resolution and provide a tool for exploring cell heterogeneity and cell types. As the low amount of extracted mRNA copies per cell, scRNA-seq data exhibit a
Externí odkaz:
https://doaj.org/article/2ab4286ecc6f4833a97d4daf1b183d78
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S18, Pp 1-10 (2019)
Abstract Background During procedures for conducting multiple sequence alignment, that is so essential to use the substitution score of pairwise alignment. To compute adaptive scores for alignment, researchers usually use Hidden Markov Model or proba
Externí odkaz:
https://doaj.org/article/a1608e1ac8a748038072ae9c0ee67823
Autor:
Zhifa Han, Rui Tian, Peng Ren, Wenyang Zhou, Pingping Wang, Meng Luo, Shuilin Jin, Qinghua Jiang
Publikováno v:
BMC Medical Genetics, Vol 19, Iss S1, Pp 1-9 (2018)
Abstract Background Alzheimer’s disease (AD) and Parkinson’s disease (PD) are the top two common neurodegenerative diseases in elderly. Recent studies found the α-synuclein have a key role in AD. Although many clinical and pathological features
Externí odkaz:
https://doaj.org/article/3b3d5a6b4dc2498391da937cf0c57043