Ning Fu
Chinese Academy of Sciences
13 Papers
19 Citations
Ning Fu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Gene & microRNA. The author has an hindex of 8, co-authored 11 publications. Previous affiliations of Ning Fu include Max Planck Society & Skolkovo Institute of Science and Technology.
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Papers
Estimating accuracy of RNA-Seq and microarrays with proteomics.
Xing Fu,Ning Fu,Song Guo,Zheng Yan,Ying Xu,Hao Hu,Hao Hu,Corinna Menzel,Wei Chen,Yixue Li,Rong Zeng,Philipp Khaitovich,Philipp Khaitovich +12 more
TL;DR: This study evaluates relative accuracy of microarrays and transcriptome sequencing (RNA-Seq) using third methodology: proteomics to find that RNA-Sequ provides a better estimate of absolute expression levels.
MicroRNA, mRNA, and protein expression link development and aging in human and macaque brain
Mehmet Somel,Song Guo,Ning Fu,Zheng Yan,Haiyang Hu,Ying Xu,Yuan Yuan,Zhibin Ning,Yuhui Hu,Corinna Menzel,Hao Hu,Michael Lachmann,Rong Zeng,Wei Chen,Philipp Khaitovich +14 more
TL;DR: Surprisingly, many gene expression changes previously attributed to aging, such as down-regulation of neural genes, initiate in early childhood, suggesting a direct link between developmental regulation and expression changes taking place in aging.
Widespread splicing changes in human brain development and aging
Pavel V. Mazin,Pavel V. Mazin,Jieyi Xiong,Xiling Liu,Zheng Yan,Xiaoyu Zhang,Xiaoyu Zhang,Mingshuang Li,Mingshuang Li,Liu He,Mehmet Somel,Mehmet Somel,Yuan Yuan,Yuan Yuan,Yi-Ping Phoebe Chen,Na Li,Yuhui Hu,Ning Fu,Zhibin Ning,Rong Zeng,Hongyi Yang,Wei Chen,Wei Chen,Mikhail S. Gelfand,Philipp Khaitovich,Philipp Khaitovich +25 more
TL;DR: Across lifespan, splicing changes followed discrete patterns that could be linked to neural functions, and associated with the expression profiles of the corresponding splicing factors, and were abundant in both of the brain regions studied.
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Rapid metabolic evolution in human prefrontal cortex
Xing Fu,Patrick Giavalisco,Xiling Liu,Gareth Catchpole,Ning Fu,Zhibin Ning,Song Guo,Zheng Yan,Mehmet Somel,Svante Pääbo,Rong Zeng,Lothar Willmitzer,Philipp Khaitovich +12 more
TL;DR: It is shown that the brain metabolome undergoes substantial changes, both ontogenetically and evolutionarily: 88% of detected metabolites show significant concentration changes with age, whereas 77% of these metabolic changes differ significantly among species.
Widespread splicing changes in human brain development and aging
Pavel Mazin,Jieyi Xiong,Xiling Liu,Zheng Yan,Xiaoyu Zhang,Mingshuang Li,Liu He,Mehmet Somel,Yuan Yuan,Yi-Ping Phoebe Chen,Na Li,Yuhui Hu,Ning Fu,Zhi-bin Ning,Rong Zeng,Hongyi Yang,Wei Chen,Mikhail Gelfand,Philipp Khaitovich +18 more
TL;DR: Across lifespan, splicing changes followed discrete patterns that could be linked to neural functions, and associated with the expression profiles of the corresponding splicing factors, and were abundant in both of the brain regions studied.
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