Quantifying the heterogeneity of macromolecular machines by mass photometry

Sample purity is central to in vitro studies of protein function and regulation, and to the efficiency and success of structural studies using techniques such as x-ray crystallography and cryo-electron microscopy (cryo-EM). Here, we show that mass photometry (MP) can accurately characterize the hete...

Full description

Bibliographic Details
Main Authors: Sonn-Segev, A, Belacic, K, Bodrug, T, Young, G, VanderLinden, RT, Schulman, BA, Schimpf, J, Friedrich, T, Dip, PV, Schwartz, TU, Bauer, B, Peters, J-M, Benesch, JLP, Struwe, WB, Brown, NG, Haselbach, D, Kukura, P
Format: Journal article
Language:English
Published: Springer Nature 2020
Subjects:
_version_ 1826295572797063168
author Sonn-Segev, A
Belacic, K
Bodrug, T
Young, G
VanderLinden, RT
Schulman, BA
Schimpf, J
Friedrich, T
Dip, PV
Schwartz, TU
Bauer, B
Peters, J-M
Benesch, JLP
Struwe, WB
Brown, NG
Haselbach, D
Kukura, P
author_facet Sonn-Segev, A
Belacic, K
Bodrug, T
Young, G
VanderLinden, RT
Schulman, BA
Schimpf, J
Friedrich, T
Dip, PV
Schwartz, TU
Bauer, B
Peters, J-M
Benesch, JLP
Struwe, WB
Brown, NG
Haselbach, D
Kukura, P
author_sort Sonn-Segev, A
collection OXFORD
description Sample purity is central to in vitro studies of protein function and regulation, and to the efficiency and success of structural studies using techniques such as x-ray crystallography and cryo-electron microscopy (cryo-EM). Here, we show that mass photometry (MP) can accurately characterize the heterogeneity of a sample using minimal material with high resolution within a matter of minutes. To benchmark our approach, we use negative stain electron microscopy (nsEM), a popular method for EM sample screening. We include typical workflows developed for structure determination that involve multi-step purification of a multi-subunit ubiquitin ligase and chemical cross-linking steps. When assessing the integrity and stability of large molecular complexes such as the proteasome, we detect and quantify assemblies invisible to nsEM. Our results illustrate the unique advantages of MP over current methods for rapid sample characterization, prioritization and workflow optimization.
first_indexed 2024-03-07T04:03:07Z
format Journal article
id oxford-uuid:c543fc6c-3a3c-4a33-ae12-5f69639e4e21
institution University of Oxford
language English
last_indexed 2024-03-07T04:03:07Z
publishDate 2020
publisher Springer Nature
record_format dspace
spelling oxford-uuid:c543fc6c-3a3c-4a33-ae12-5f69639e4e212022-03-27T06:29:36ZQuantifying the heterogeneity of macromolecular machines by mass photometryJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:c543fc6c-3a3c-4a33-ae12-5f69639e4e21Cryoelectron microscopyStructural biologySingle-molecule biophysicsHigh-throughput screeningEnglishSymplectic ElementsSpringer Nature2020Sonn-Segev, ABelacic, KBodrug, TYoung, GVanderLinden, RTSchulman, BASchimpf, JFriedrich, TDip, PVSchwartz, TUBauer, BPeters, J-MBenesch, JLPStruwe, WBBrown, NGHaselbach, DKukura, PSample purity is central to in vitro studies of protein function and regulation, and to the efficiency and success of structural studies using techniques such as x-ray crystallography and cryo-electron microscopy (cryo-EM). Here, we show that mass photometry (MP) can accurately characterize the heterogeneity of a sample using minimal material with high resolution within a matter of minutes. To benchmark our approach, we use negative stain electron microscopy (nsEM), a popular method for EM sample screening. We include typical workflows developed for structure determination that involve multi-step purification of a multi-subunit ubiquitin ligase and chemical cross-linking steps. When assessing the integrity and stability of large molecular complexes such as the proteasome, we detect and quantify assemblies invisible to nsEM. Our results illustrate the unique advantages of MP over current methods for rapid sample characterization, prioritization and workflow optimization.
spellingShingle Cryoelectron microscopy
Structural biology
Single-molecule biophysics
High-throughput screening
Sonn-Segev, A
Belacic, K
Bodrug, T
Young, G
VanderLinden, RT
Schulman, BA
Schimpf, J
Friedrich, T
Dip, PV
Schwartz, TU
Bauer, B
Peters, J-M
Benesch, JLP
Struwe, WB
Brown, NG
Haselbach, D
Kukura, P
Quantifying the heterogeneity of macromolecular machines by mass photometry
title Quantifying the heterogeneity of macromolecular machines by mass photometry
title_full Quantifying the heterogeneity of macromolecular machines by mass photometry
title_fullStr Quantifying the heterogeneity of macromolecular machines by mass photometry
title_full_unstemmed Quantifying the heterogeneity of macromolecular machines by mass photometry
title_short Quantifying the heterogeneity of macromolecular machines by mass photometry
title_sort quantifying the heterogeneity of macromolecular machines by mass photometry
topic Cryoelectron microscopy
Structural biology
Single-molecule biophysics
High-throughput screening
work_keys_str_mv AT sonnsegeva quantifyingtheheterogeneityofmacromolecularmachinesbymassphotometry
AT belacick quantifyingtheheterogeneityofmacromolecularmachinesbymassphotometry
AT bodrugt quantifyingtheheterogeneityofmacromolecularmachinesbymassphotometry
AT youngg quantifyingtheheterogeneityofmacromolecularmachinesbymassphotometry
AT vanderlindenrt quantifyingtheheterogeneityofmacromolecularmachinesbymassphotometry
AT schulmanba quantifyingtheheterogeneityofmacromolecularmachinesbymassphotometry
AT schimpfj quantifyingtheheterogeneityofmacromolecularmachinesbymassphotometry
AT friedricht quantifyingtheheterogeneityofmacromolecularmachinesbymassphotometry
AT dippv quantifyingtheheterogeneityofmacromolecularmachinesbymassphotometry
AT schwartztu quantifyingtheheterogeneityofmacromolecularmachinesbymassphotometry
AT bauerb quantifyingtheheterogeneityofmacromolecularmachinesbymassphotometry
AT petersjm quantifyingtheheterogeneityofmacromolecularmachinesbymassphotometry
AT beneschjlp quantifyingtheheterogeneityofmacromolecularmachinesbymassphotometry
AT struwewb quantifyingtheheterogeneityofmacromolecularmachinesbymassphotometry
AT brownng quantifyingtheheterogeneityofmacromolecularmachinesbymassphotometry
AT haselbachd quantifyingtheheterogeneityofmacromolecularmachinesbymassphotometry
AT kukurap quantifyingtheheterogeneityofmacromolecularmachinesbymassphotometry