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Page 1: Protein Metrics Inc. - High-Throughput …...New mass spectrometry methods to investigate protein-protein complexes, binding interfaces, and biopolymer oligomerization show tremendous

High-Throughput Characterization of Complex Crosslinked Proteins using Byonic and ByologicRyan D. Leib1; Chris Becker2; Yong Kil2; Pierre Allemand2, St John Skilton2; Eric Carlson2; Christopher M. Adams1; Allis Chien1

1Stanford University Mass Spectrometry, Stanford, CA 2Protein Metrics Inc.

Byologic® Features

Acknowledgment & ReferenceThis work was supported by NIH grant GM100634.

1. Komolov et al. Cell 2017, 169, 407-421

Byologic® Features

Using this workflow, we can readily analyze thousands of possible

crosslinked peptides across diverse experiments. The goal is to identify the

best crosslinks first as anchor structural constraints taking advantage of

various linker types and proteolytic enzymes. This Byologic strategy can

produce a robust candidate report in hours instead of days to weeks, and

efficiently informs structural modeling efforts and biochemical experiments.

Here, we identified the binding interface of b2AR-GRK5 using this method.

Our crosslink predictions observed an ionic lock region opening and a

rotation of the RH bundle. These experimental observations were further

supported by complementary HDX, EM, and mutant crosslink analyses.

This approach is scalable to other protein-protein interactions, including

determination of complex stoichiometry and polymerization.

Contact: [email protected]

Byologic® Features

Methods

Crosslink Data Analysis in Ten Easy Steps Xlinks Used to Define Structural Constraints

Discussion and Conclusions

New mass spectrometry methods to investigate protein-protein

complexes, binding interfaces, and biopolymer oligomerization show

tremendous promise as structural biology tools. In practice, improved data

analysis tools and methods are needed to validate the rich but incredibly

complex MS/MS fragmentation data. Here, we present a novel analysis

approach for chemical crosslinking using features of Byonic and Byologic

with an empirical grading system to quickly and robustly characterize a

model G-protein-coupled receptor, b2 Adrenegic Receptor (b2AR) with its

kinase (GRK5). While the structure of the individual proteins are

determined, the molecular architecture of the docked interaction is poorly

understood, and has important implications for a host of signaling

pathways and protein recruitment mechanisms.

MS2 Identifications

Methods

Project Window

Protein Coverage

XICs

Peptide

Windows

Unreliable Chromatography Co-isolated Precursors

MS/MS Alone Looks Reasonable…

Summary tables take the

output of this analysis to

efficiently parse True

Positives, False Positives,

and Uncertains for group

review, assignment, and

reporting

Prot-2Prot-1

A parallel strategy using multiple

crosslinkers, proteolytic enzymes, and

fragmentation methods (ETD, HCD)

was used to extensively characterize

in vitro crosslinked GRK5-b2AR. Raw

data were searched against a focused

database in Byonic to identify

thousands of candidate crosslinked

peptides for review.

Byologic was used to condense these

many parallel experiments and

facilitate rapid cross-link validation

using an empirical rule strategy

described here. This approach not

only provides significant time savings

over individual review of the

independent output files, it provides

more robust cross comparison

between related experiments, and a

robust permanent report generation

for easy information transfer between

researchers.

Introduction

Report

1. Group Related Experiments

2. Remove Unlinked Peptides

3. Identify Xlinks with Multiple Observations

4. Note Source Experiment of Peptide

5. Sequester Xlinks with Short Peptides

6. Verify MS/MS

7. Qualify MS1 Isolation

8. Validate XIC9. Compare with Unlinked

or in silico peptides

10. Record Validation

Byologic Dashboard

MS2 annotation

and m/z errors

Rapid Classification

Direct Report Generation

b2AR-GRK5 Crosslink Report

Xlinks are categorized into true-positives, uncertain,

and false-positives using this empirical workflow. “True

positives” succeed on all rules, while “False Positives”

fail least three of these rules. This strategy focuses on

identifying the most likely xlinks first, and then can

recover uncertain peptides using an easy, transferable,

and repeatable framework for analysis. True positives

anchor the b2AR-GRK5 structural determination, with

uncertain assignments filling in based on 3D structural

limitations.

MS1 isotopes

BUT

1. Docking of crystal structure

2. Opening of ionic lock region

3. Rotation of RH bundle

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