Author

M. Andrade

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

Biology Disciplines

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Cell Biology· 2 Biophysics· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Organism:rat· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Assay:proteomics· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:development & morphogenesis· 1

Frequent Co-Authors

K. Suresh· 2 shared L. Shimoda· 2 shared M. Damarla· 2 shared S. Niedermeyer· 2 shared T. Kolb· 2 shared X. Yun· 2 shared A. Avivi· 1 shared A. Bicker· 1 shared

Activity by Year

2019-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersCell Biology

K. Suresh

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Aquaporin 1 confers apoptosis resistance in pulmonary arterial smooth muscle cells from the SU5416 hypoxia rat model

X. Yun, S. Niedermeyer, M. Andrade, H. Jiang, K. Suresh, T. Kolb, M. Damarla, L. Shimoda

bioRxiv · Oct 5, 2023Cell Biology

A Novel Interaction Between Aquaporin 1 and Caspase-3 in Pulmonary Arterial Smooth Muscle Cells

S. Niedermeyer, X. Yun, M. Trujillo, M. Andrade, T. Kolb, K. Suresh, M. Damarla, L. Shimoda

The paper identifies a novel interaction between aquaporin-1 and caspase-3 in PASMCs, showing AQP1 levels correlate with caspase-3 activity.

bioRxiv · Oct 5, 2023Cell Biology

Adaptation of the Spalax galili transcriptome to life under hypoxia may hold a key to a complex phenotype including longevity and cancer resistance

G. Poetzsch, L. Jelacic, A. Bicker, M. Balling, L. Hellmann, L. Dammer, M. Andrade, I. Shams, A. Avivi, T. Hankeln

This study compares transcriptomic responses to hypoxia in Spalax and rat, identifying gene expression patterns linked to longevity and cancer resistance.

bioRxiv · Aug 1, 2023 · PreprintEvolutionary Biology

Coevolutive, Evolutive and Stochastic Information in Protein-Protein Interactions

M. Andrade, C. F. T. Pontes, W. Treptow

The paper analyzes coevolutive, evolutive, and stochastic information in protein-protein interactions using multi-sequence alignments to identify the strongest signals for distinguishing PPIs.

bioRxiv · Jun 26, 2019Biophysics