Author

Amir Feizi

Chalmers University of TechnologyORCID 0000-0002-9627-4190Unclaimed ORCID profile · follow to get notified of new preprints

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Amir Feizi1 paper

Biology Disciplines

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Systems Biology· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Research Focus:variant effect prediction· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:mouse· 1

Frequent Co-Authors

Jens NielseniD· 3 shared Bernhard Ørn PalssoniD· 1 shared Bjørn Gunnar Rude VoldborgiD· 1 shared Daniel LeyiD· 1 shared Deniz Baycın Hızal· 1 shared Eduard Johannes KerkhoveniD· 1 shared Feiran LiiD· 1 shared Francesco Gatto· 1 shared

Activity by Year

2016-2022 · peak 1/yr

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10 top collaborators · 25 mutual co-author links

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3 shared papersSystems Biology

Jens NielsenORCID

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3 papers

Recent·Most cited

Systems BiologyNature CommunicationsPeer-reviewedMay 27, 2022

Genome scale modeling of the protein secretory pathway reveals novel targets for improved recombinant protein production in yeast

Feiran Li, Yu Chen, Qi Qi…·Jens Nielsen

The paper develops a genome-scale model of the yeast protein secretory pathway to identify targets for improving recombinant protein production, finding that the secretory pathway has more limited capacity than metabolism.

91 citationstop 2%

yeastprotein sequence

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Systems BiologyNature CommunicationsPeer-reviewedJan 2, 2020

Genome-scale reconstructions of the mammalian secretory pathway predict metabolic costs and limitations of protein secretion

Jahir M. Gutierrez, Amir Feizi, Shangzhong Li…·Nathan E. Lewis

134 citationstop 3%

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Systems BiologybioRxivAug 24, 2016

Deciphering the tissue specificity of the protein secretory pathway in humans

Amir Feizi, Francesco Gatto, Mathias Uhlen, Jens Nielsen

The paper identifies tissue-specific fine-tuning of the secretory pathway by analyzing transcriptome data across 30 human tissues, revealing subnetwork-specific expression patterns and their correlation with post-translational modifications.

DOI 10.1038/s41540-017-0021-4

humanbulk RNA-seq

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