Author

S. Lou

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Plant Biology· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:differential expression· 3 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Organism:plant (other)· 2 Approach:biophysical modeling· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:DNA methylation· 1

Frequent Co-Authors

C. Lin· 2 shared L. Ma· 2 shared T. Wang· 2 shared W. Wei· 2 shared A. Christiansen· 1 shared B. Wang· 1 shared C. Chen· 1 shared C. Fankhauser· 1 shared

Activity by Year

2019-2019 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersPlant Biology

C. Lin

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Genome-wide analysis of GATA factors in moso bamboo (Phyllostachys edulis) unveils that PeGATAs regulate shoot rapid-growth and rhizome development

T. Wang, Y. Yang, S. Lou, W. Wei, Z. Zhao, C. Lin, L. Ma

This study identifies PeGATA transcription factors in moso bamboo and shows they regulate shoot growth and rhizome development via GA signaling pathway.

bioRxiv · Aug 22, 2019Plant Biology

The full-length transcriptome of Spartina alterniflora reveals the complexity of high salt tolerance in monocotyledonous halophyte

W. Ye, T. Wang, W. Wei, S. Lou, F. Lan, S. Zhu, Q. Li, G. Ji, C. Lin, X. Wu, L. Ma

This study uses full-length transcriptome sequencing to analyze salt tolerance mechanisms in Spartina alterniflora and identifies key genes and regulatory networks involved in stress response.

bioRxiv · Jun 24, 2019Plant Biology

High-throughput proteomic analysis of FFPE tissue samples facilitates tumor stratification

Y. J. Zhu, T. Weiss, Q. Zhang, R. Sun, B. Wang, Z. Wu, Q. Zhong, X. Yi, H. Gao, X. Cai, G. Ruan, T. Zhu, C. Xu, S. Lou, X. Yu, , T. Guo

This study develops a proteomic workflow for FFPE tissues to stratify prostate cancer and DLBCL samples, identifying MPO as a prognostic marker and showing FFPE's utility for biomarker discovery.

bioRxiv · Jun 11, 2019Biochemistry