Characterization of heterogeneity in nanodisc samples using Feret signatures
[Display omitted] •New methodology to characterize nanodiscs based on Feret signatures.•Feret signatures distinguish nanodisc morphologies and compositions.•Analysis is highly sensitive to sample quality.•Method selected condition to solve structure of small membrane protein Bcl-xL. Nanodiscs have b...
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Veröffentlicht in: | Journal of structural biology 2022-12, Vol.214 (4), p.107916-107916, Article 107916 |
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container_title | Journal of structural biology |
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creator | Vilela, Fernando Bezault, Armel Rodriguez de Francisco, Borja Sauvanet, Cécile Xu, Xiao-Ping Swift, Mark F. Yao, Yong Marrasi, Francesca M. Hanein, Dorit Volkmann, Niels |
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•New methodology to characterize nanodiscs based on Feret signatures.•Feret signatures distinguish nanodisc morphologies and compositions.•Analysis is highly sensitive to sample quality.•Method selected condition to solve structure of small membrane protein Bcl-xL.
Nanodiscs have become a popular tool in structure determination of membrane proteins using cryogenic electron microscopy and single particle analysis. However, the structure determination of small membrane proteins remains challenging. When the embedded protein is in the same size range as the nanodisc, the nanodisc can significantly contribute to the alignment and classification during the structure determination process. In those cases, it is crucial to minimize the heterogeneity in the nanodisc preparations to assure maximum accuracy in the classification and alignment steps of single particle analysis. Here, we introduce a new in-silico method for the characterization of nanodisc samples that is based on analyzing the Feret diameter distribution of their particle projection as imaged in the electron microscope. We validated the method with comprehensive simulation studies and show that Feret signatures can detect subtle differences in nanodisc morphologies and composition that might otherwise go unnoticed. We used the method to identify a specific biochemical nanodisc preparation with low size variations, allowing us to obtain a structure of the 23-kDa single-span membrane protein Bcl-xL while embedded in a nanodisc. Feret signature analysis can steer experimental data collection strategies, allowing more efficient use of high-end data collection hardware, as well as image analysis investments in studies where nanodiscs significantly contribute to the total volume of the full molecular species. |
doi_str_mv | 10.1016/j.jsb.2022.107916 |
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•New methodology to characterize nanodiscs based on Feret signatures.•Feret signatures distinguish nanodisc morphologies and compositions.•Analysis is highly sensitive to sample quality.•Method selected condition to solve structure of small membrane protein Bcl-xL.
Nanodiscs have become a popular tool in structure determination of membrane proteins using cryogenic electron microscopy and single particle analysis. However, the structure determination of small membrane proteins remains challenging. When the embedded protein is in the same size range as the nanodisc, the nanodisc can significantly contribute to the alignment and classification during the structure determination process. In those cases, it is crucial to minimize the heterogeneity in the nanodisc preparations to assure maximum accuracy in the classification and alignment steps of single particle analysis. Here, we introduce a new in-silico method for the characterization of nanodisc samples that is based on analyzing the Feret diameter distribution of their particle projection as imaged in the electron microscope. We validated the method with comprehensive simulation studies and show that Feret signatures can detect subtle differences in nanodisc morphologies and composition that might otherwise go unnoticed. We used the method to identify a specific biochemical nanodisc preparation with low size variations, allowing us to obtain a structure of the 23-kDa single-span membrane protein Bcl-xL while embedded in a nanodisc. Feret signature analysis can steer experimental data collection strategies, allowing more efficient use of high-end data collection hardware, as well as image analysis investments in studies where nanodiscs significantly contribute to the total volume of the full molecular species.</description><identifier>ISSN: 1047-8477</identifier><identifier>EISSN: 1095-8657</identifier><identifier>DOI: 10.1016/j.jsb.2022.107916</identifier><identifier>PMID: 36332745</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Bcl-xL ; cryo-EM ; Image processing ; Life Sciences ; Membrane proteins ; Single particle analysis</subject><ispartof>Journal of structural biology, 2022-12, Vol.214 (4), p.107916-107916, Article 107916</ispartof><rights>2022 Elsevier Inc.</rights><rights>Copyright © 2022 Elsevier Inc. All rights reserved.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c382t-68c39f1e09218e48f9d22d82abc91a1ba34d9b0d556f0ebe0f049f9f580f91323</cites><orcidid>0000-0003-1328-6426</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jsb.2022.107916$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,315,781,785,886,3551,27929,27930,46000</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36332745$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-04133443$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Vilela, Fernando</creatorcontrib><creatorcontrib>Bezault, Armel</creatorcontrib><creatorcontrib>Rodriguez de Francisco, Borja</creatorcontrib><creatorcontrib>Sauvanet, Cécile</creatorcontrib><creatorcontrib>Xu, Xiao-Ping</creatorcontrib><creatorcontrib>Swift, Mark F.</creatorcontrib><creatorcontrib>Yao, Yong</creatorcontrib><creatorcontrib>Marrasi, Francesca M.</creatorcontrib><creatorcontrib>Hanein, Dorit</creatorcontrib><creatorcontrib>Volkmann, Niels</creatorcontrib><title>Characterization of heterogeneity in nanodisc samples using Feret signatures</title><title>Journal of structural biology</title><addtitle>J Struct Biol</addtitle><description>[Display omitted]
•New methodology to characterize nanodiscs based on Feret signatures.•Feret signatures distinguish nanodisc morphologies and compositions.•Analysis is highly sensitive to sample quality.•Method selected condition to solve structure of small membrane protein Bcl-xL.
Nanodiscs have become a popular tool in structure determination of membrane proteins using cryogenic electron microscopy and single particle analysis. However, the structure determination of small membrane proteins remains challenging. When the embedded protein is in the same size range as the nanodisc, the nanodisc can significantly contribute to the alignment and classification during the structure determination process. In those cases, it is crucial to minimize the heterogeneity in the nanodisc preparations to assure maximum accuracy in the classification and alignment steps of single particle analysis. Here, we introduce a new in-silico method for the characterization of nanodisc samples that is based on analyzing the Feret diameter distribution of their particle projection as imaged in the electron microscope. We validated the method with comprehensive simulation studies and show that Feret signatures can detect subtle differences in nanodisc morphologies and composition that might otherwise go unnoticed. We used the method to identify a specific biochemical nanodisc preparation with low size variations, allowing us to obtain a structure of the 23-kDa single-span membrane protein Bcl-xL while embedded in a nanodisc. Feret signature analysis can steer experimental data collection strategies, allowing more efficient use of high-end data collection hardware, as well as image analysis investments in studies where nanodiscs significantly contribute to the total volume of the full molecular species.</description><subject>Bcl-xL</subject><subject>cryo-EM</subject><subject>Image processing</subject><subject>Life Sciences</subject><subject>Membrane proteins</subject><subject>Single particle analysis</subject><issn>1047-8477</issn><issn>1095-8657</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kMtKxDAUhoMo3h_AjXSpi465tU1wJYM3GHCj65CmJzMZOsmYtII-vRmqLl2dC9_54XwIXRA8I5jUN-vZOrUziinNcyNJvYeOCZZVKeqq2d_1vCkFb5ojdJLSGmPMCSWH6IjVjNGGV8doMV_pqM0A0X3pwQVfBFusIM9hCR7c8Fk4X3jtQ-eSKZLebHtIxZicXxYPEGEoklt6PYwR0hk6sLpPcP5TT9Hbw_3r_KlcvDw-z-8WpWGCDmUtDJOWAJaUCODCyo7STlDdGkk0aTXjnWxxV1W1xdACtphLK20lsJWEUXaKrqfcle7VNrqNjp8qaKee7hZqt8t_MsY5-yCZvZrYbQzvI6RBbfIj0PfaQxiTog2jFadSNBklE2piSCmC_csmWO2Eq7XKwtVOuJqE55vLn_ix3UD3d_FrOAO3EwBZyIeDqJJx4A10LoIZVBfcP_HfC4-QLQ</recordid><startdate>202212</startdate><enddate>202212</enddate><creator>Vilela, Fernando</creator><creator>Bezault, Armel</creator><creator>Rodriguez de Francisco, Borja</creator><creator>Sauvanet, Cécile</creator><creator>Xu, Xiao-Ping</creator><creator>Swift, Mark F.</creator><creator>Yao, Yong</creator><creator>Marrasi, Francesca M.</creator><creator>Hanein, Dorit</creator><creator>Volkmann, Niels</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0003-1328-6426</orcidid></search><sort><creationdate>202212</creationdate><title>Characterization of heterogeneity in nanodisc samples using Feret signatures</title><author>Vilela, Fernando ; Bezault, Armel ; Rodriguez de Francisco, Borja ; Sauvanet, Cécile ; Xu, Xiao-Ping ; Swift, Mark F. ; Yao, Yong ; Marrasi, Francesca M. ; Hanein, Dorit ; Volkmann, Niels</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c382t-68c39f1e09218e48f9d22d82abc91a1ba34d9b0d556f0ebe0f049f9f580f91323</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Bcl-xL</topic><topic>cryo-EM</topic><topic>Image processing</topic><topic>Life Sciences</topic><topic>Membrane proteins</topic><topic>Single particle analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vilela, Fernando</creatorcontrib><creatorcontrib>Bezault, Armel</creatorcontrib><creatorcontrib>Rodriguez de Francisco, Borja</creatorcontrib><creatorcontrib>Sauvanet, Cécile</creatorcontrib><creatorcontrib>Xu, Xiao-Ping</creatorcontrib><creatorcontrib>Swift, Mark F.</creatorcontrib><creatorcontrib>Yao, Yong</creatorcontrib><creatorcontrib>Marrasi, Francesca M.</creatorcontrib><creatorcontrib>Hanein, Dorit</creatorcontrib><creatorcontrib>Volkmann, Niels</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Journal of structural biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vilela, Fernando</au><au>Bezault, Armel</au><au>Rodriguez de Francisco, Borja</au><au>Sauvanet, Cécile</au><au>Xu, Xiao-Ping</au><au>Swift, Mark F.</au><au>Yao, Yong</au><au>Marrasi, Francesca M.</au><au>Hanein, Dorit</au><au>Volkmann, Niels</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterization of heterogeneity in nanodisc samples using Feret signatures</atitle><jtitle>Journal of structural biology</jtitle><addtitle>J Struct Biol</addtitle><date>2022-12</date><risdate>2022</risdate><volume>214</volume><issue>4</issue><spage>107916</spage><epage>107916</epage><pages>107916-107916</pages><artnum>107916</artnum><issn>1047-8477</issn><eissn>1095-8657</eissn><abstract>[Display omitted]
•New methodology to characterize nanodiscs based on Feret signatures.•Feret signatures distinguish nanodisc morphologies and compositions.•Analysis is highly sensitive to sample quality.•Method selected condition to solve structure of small membrane protein Bcl-xL.
Nanodiscs have become a popular tool in structure determination of membrane proteins using cryogenic electron microscopy and single particle analysis. However, the structure determination of small membrane proteins remains challenging. When the embedded protein is in the same size range as the nanodisc, the nanodisc can significantly contribute to the alignment and classification during the structure determination process. In those cases, it is crucial to minimize the heterogeneity in the nanodisc preparations to assure maximum accuracy in the classification and alignment steps of single particle analysis. Here, we introduce a new in-silico method for the characterization of nanodisc samples that is based on analyzing the Feret diameter distribution of their particle projection as imaged in the electron microscope. We validated the method with comprehensive simulation studies and show that Feret signatures can detect subtle differences in nanodisc morphologies and composition that might otherwise go unnoticed. We used the method to identify a specific biochemical nanodisc preparation with low size variations, allowing us to obtain a structure of the 23-kDa single-span membrane protein Bcl-xL while embedded in a nanodisc. Feret signature analysis can steer experimental data collection strategies, allowing more efficient use of high-end data collection hardware, as well as image analysis investments in studies where nanodiscs significantly contribute to the total volume of the full molecular species.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>36332745</pmid><doi>10.1016/j.jsb.2022.107916</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-1328-6426</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Bcl-xL cryo-EM Image processing Life Sciences Membrane proteins Single particle analysis |
title | Characterization of heterogeneity in nanodisc samples using Feret signatures |
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