Literature DB >> 28784961

PIP-on-a-chip: A Label-free Study of Protein-phosphoinositide Interactions.

Djoshkun Shengjuler1, Simou Sun2, Paul S Cremer3, Craig E Cameron4.   

Abstract

Numerous cellular proteins interact with membrane surfaces to affect essential cellular processes. These interactions can be directed towards a specific lipid component within a membrane, as in the case of phosphoinositides (PIPs), to ensure specific subcellular localization and/or activation. PIPs and cellular PIP-binding domains have been studied extensively to better understand their role in cellular physiology. We applied a pH modulation assay on supported lipid bilayers (SLBs) as a tool to study protein-PIP interactions. In these studies, pH sensitive ortho-Sulforhodamine B conjugated phosphatidylethanolamine is used to detect protein-PIP interactions. Upon binding of a protein to a PIP-containing membrane surface, the interfacial potential is modulated (i.e. change in local pH), shifting the protonation state of the probe. A case study of the successful usage of the pH modulation assay is presented by using phospholipase C delta1 Pleckstrin Homology (PLC-δ1 PH) domain and phosphatidylinositol 4,5-bisphosphate (PI(4,5)P2) interaction as an example. The apparent dissociation constant (Kd,app) for this interaction was 0.39 ± 0.05 µM, similar to Kd,app values obtained by others. As previously observed, the PLC-δ1 PH domain is PI(4,5)P2 specific, shows weaker binding towards phosphatidylinositol 4-phosphate, and no binding to pure phosphatidylcholine SLBs. The PIP-on-a-chip assay is advantageous over traditional PIP-binding assays, including but not limited to low sample volume and no ligand/receptor labeling requirements, the ability to test high- and low-affinity membrane interactions with both small and large molecules, and improved signal to noise ratio. Accordingly, the usage of the PIP-on-a-chip approach will facilitate the elucidation of mechanisms of a wide range of membrane interactions. Furthermore, this method could potentially be used in identifying therapeutics that modulate protein's capacity to interact with membranes.

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Year:  2017        PMID: 28784961      PMCID: PMC5613778          DOI: 10.3791/55869

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  52 in total

Review 1.  Phosphoinositide-binding proteins in autophagy.

Authors:  Alf Håkon Lystad; Anne Simonsen
Journal:  FEBS Lett       Date:  2016-07-23       Impact factor: 4.124

2.  Analysis of phosphoinositide-binding proteins using liposomes as an affinity matrix.

Authors:  Andreas Knödler; Peter Mayinger
Journal:  Biotechniques       Date:  2005-06       Impact factor: 1.993

Review 3.  Membrane recognition by phospholipid-binding domains.

Authors:  Mark A Lemmon
Journal:  Nat Rev Mol Cell Biol       Date:  2008-02       Impact factor: 94.444

4.  Pleckstrin homology-phospholipase C-δ1 interaction with phosphatidylinositol 4,5-bisphosphate containing supported lipid bilayers monitored in situ with dual polarization interferometry.

Authors:  Martina K Baumann; Marcus J Swann; Marcus Textor; Erik Reimhult
Journal:  Anal Chem       Date:  2011-07-19       Impact factor: 6.986

Review 5.  Phosphoinositides in cell architecture.

Authors:  Annette Shewan; Dennis J Eastburn; Keith Mostov
Journal:  Cold Spring Harb Perspect Biol       Date:  2011-08-01       Impact factor: 10.005

6.  DAPP1: a dual adaptor for phosphotyrosine and 3-phosphoinositides.

Authors:  S Dowler; R A Currie; C P Downes; D R Alessi
Journal:  Biochem J       Date:  1999-08-15       Impact factor: 3.857

7.  Structure of the high affinity complex of inositol trisphosphate with a phospholipase C pleckstrin homology domain.

Authors:  K M Ferguson; M A Lemmon; J Schlessinger; P B Sigler
Journal:  Cell       Date:  1995-12-15       Impact factor: 41.582

8.  Preserved transmembrane protein mobility in polymer-supported lipid bilayers derived from cell membranes.

Authors:  Hudson Pace; Lisa Simonsson Nyström; Anders Gunnarsson; Elizabeth Eck; Christopher Monson; Stefan Geschwindner; Arjan Snijder; Fredrik Höök
Journal:  Anal Chem       Date:  2015-08-24       Impact factor: 6.986

9.  A quantitative liposome microarray to systematically characterize protein-lipid interactions.

Authors:  Antoine-Emmanuel Saliba; Ivana Vonkova; Stefano Ceschia; Greg M Findlay; Kenji Maeda; Christian Tischer; Samy Deghou; Vera van Noort; Peer Bork; Tony Pawson; Jan Ellenberg; Anne-Claude Gavin
Journal:  Nat Methods       Date:  2013-11-24       Impact factor: 28.547

10.  Molecular basis of phosphatidylinositol 4-phosphate and ARF1 GTPase recognition by the FAPP1 pleckstrin homology (PH) domain.

Authors:  Ju He; Jordan L Scott; Annie Heroux; Siddhartha Roy; Marc Lenoir; Michael Overduin; Robert V Stahelin; Tatiana G Kutateladze
Journal:  J Biol Chem       Date:  2011-03-22       Impact factor: 5.157

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  4 in total

1.  Characterization of Protein-Phospholipid/Membrane Interactions Using a "Membrane-on-a-Chip" Microfluidic System.

Authors:  Calvin Yeager; Djoshkun Shengjuler; Simou Sun; Paul S Cremer; Craig E Cameron
Journal:  Methods Mol Biol       Date:  2021

2.  Hijacking of multiple phospholipid biosynthetic pathways and induction of membrane biogenesis by a picornaviral 3CD protein.

Authors:  Sravani Banerjee; David Aponte-Diaz; Calvin Yeager; Suresh D Sharma; Gang Ning; Hyung S Oh; Qingxia Han; Masato Umeda; Yuji Hara; Robert Y L Wang; Craig E Cameron
Journal:  PLoS Pathog       Date:  2018-05-21       Impact factor: 6.823

3.  The RNA-Binding Site of Poliovirus 3C Protein Doubles as a Phosphoinositide-Binding Domain.

Authors:  Djoshkun Shengjuler; Yan Mei Chan; Simou Sun; Ibrahim M Moustafa; Zhen-Lu Li; David W Gohara; Matthias Buck; Paul S Cremer; David D Boehr; Craig E Cameron
Journal:  Structure       Date:  2017-12-05       Impact factor: 5.006

4.  A method for assessing tissue respiration in anatomically defined brain regions.

Authors:  Erica Underwood; John B Redell; Jing Zhao; Anthony N Moore; Pramod K Dash
Journal:  Sci Rep       Date:  2020-08-06       Impact factor: 4.379

  4 in total

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