Literature DB >> 25278553

A high-throughput siRNA screen identifies genes that regulate mannose 6-phosphate receptor trafficking.

Mihaela Anitei1, Ramu Chenna1, Cornelia Czupalla1, Milan Esner2, Sara Christ3, Steffi Lenhard1, Kerstin Korn3, Felix Meyenhofer3, Marc Bickle3, Marino Zerial3, Bernard Hoflack4.   

Abstract

The delivery of newly synthesized soluble lysosomal hydrolases to the endosomal system is essential for lysosome function and cell homeostasis. This process relies on the proper trafficking of the mannose 6-phosphate receptors (MPRs) between the trans-Golgi network (TGN), endosomes and the plasma membrane. Many transmembrane proteins regulating diverse biological processes ranging from virus production to the development of multicellular organisms also use these pathways. To explore how cell signaling modulates MPR trafficking, we used high-throughput RNA interference (RNAi) to target the human kinome and phosphatome. Using high-content image analysis, we identified 127 kinases and phosphatases belonging to different signaling networks that regulate MPR trafficking and/or the dynamic states of the subcellular compartments encountered by the MPRs. Our analysis maps the MPR trafficking pathways based on enzymes regulating phosphatidylinositol phosphate metabolism. Furthermore, it reveals how cell signaling controls the biogenesis of post-Golgi tubular carriers destined to enter the endosomal system through a SRC-dependent pathway regulating ARF1 and RAC1 signaling and myosin II activity.
© 2014. Published by The Company of Biologists Ltd.

Entities:  

Keywords:  Lysosome; Mannose 6-phosphate receptor; Post-Golgi transport; Trafficking; siRNA screen

Mesh:

Substances:

Year:  2014        PMID: 25278553     DOI: 10.1242/jcs.159608

Source DB:  PubMed          Journal:  J Cell Sci        ISSN: 0021-9533            Impact factor:   5.285


  5 in total

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Authors:  Dominik P Buser; Kai D Schleicher; Cristina Prescianotto-Baschong; Martin Spiess
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Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-19       Impact factor: 11.205

3.  Epistatic Analysis of the Contribution of Rabs and Kifs to CATCHR Family Dependent Golgi Organization.

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4.  Digging deep into Golgi phenotypic diversity with unsupervised machine learning.

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Journal:  Mol Biol Cell       Date:  2017-10-11       Impact factor: 4.138

5.  Comparison of Cell Arrays and Multi-Well Plates in Microscopy-Based Screening.

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  5 in total

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