{"id":7200,"date":"2016-02-05T07:01:12","date_gmt":"2016-02-05T12:01:12","guid":{"rendered":"http:\/\/admin.acceleratingscience.com\/?p=7200"},"modified":"2016-04-29T16:52:36","modified_gmt":"2016-04-29T16:52:36","slug":"a-proteomic-ruler-that-measures-up","status":"publish","type":"post","link":"https:\/\/www.thermofisher.com\/blog\/proteomics\/a-proteomic-ruler-that-measures-up\/","title":{"rendered":"A Proteomic Ruler That Measures Up"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" style=\"float: left; margin: 10px;\" src=\"http:\/\/admin.acceleratingscience.com\/proteomics\/wp-content\/uploads\/sites\/2\/2016\/02\/shutterstock_305875718.jpg\" alt=\"Image of a ruler. Image: SHILOV EGOR\/Shutterstock.com\" width=\"240\" height=\"240\" \/>According to Wi\u015bniewski et al. (2014), using the mass spectrometry (MS) signal generated by histones is a reliable and easily implemented first step in quantitating proteins.<sup>1<\/sup>\u00a0 Furthermore, using the \u201cproteomic ruler\u201d tool developed by the authors, researchers can cut out several steps that potentially introduce error in MS-based proteomic quantitative analysis.<\/p>\n<p>Since its introduction into protein research, MS-based proteomics has moved from simply identifying proteins to their quantification. Current approaches to <span class=\"thread\">protein quantification<\/span>\u00a0require the introduction of additional steps such as <span class=\"thread\">spiking samples with isotopic reference standards in the experimental workflo<\/span>w. Although useful for measuring protein abundancies and making comparisons between different physiological states, these additional steps have potential for introducing errors that could nullify meaningful results.<\/p>\n<p>The approach that Wi\u015bniewski et al. use to generate improved quantitative results from the spectral data is to replace cell counts with information already generated in the experimental workflow: the MS signal generated by histones. Since histone content varies according to the concentration of DNA in a sample, it also reflects the cell number. Using this information overcomes errors introduced using cell counting and avoids cross-reaction problems with reagents used for estimating total protein content.<\/p>\n<p>Starting with various experimental materials\u2014cells from cell culture, mouse tissues and\u00a0<span class=\"thread\">plasma\u2014<\/span>the researchers explored this concept, comparing results obtained using the proteomic ruler with those generated by the traditional SILAC-PrEST (stable isotope labeling by amino acids in cell culture and protein epitope signature tag) approach. Once prepared, the researchers measured sample protein content using fluorescence spectroscopy with tryptophan as the standard in addition to performing cell counts. The team used filter-aided sample preparation (FASP) to prepare protein extracts, measuring DNA and RNA content after extraction.<\/p>\n<p>To generate liquid chromatography (LC)-MS spectral data, the researchers analyzed the cell and plasma samples using a <a href=\"http:\/\/www.thermoscientific.com\/en\/product\/q-exactive-hybrid-quadrupole-orbitrap-mass-spectrometer.html\" target=\"_blank\">Q Exactive mass spectrometer<\/a> in HCD fragmentation mode, and an <a href=\"http:\/\/www.thermoscientific.com\/en\/products\/orbitrap-lc-ms.html\" target=\"_blank\">LTQ Orbitrap mass spectrometer<\/a>\u00a0(both Thermo Scientific) for the mouse tissues.<\/p>\n<p>Using the experimental samples as described, the research team compared the various parameters measured using the proteomic ruler approach with those obtained using standard approaches. They found good agreements throughout, which meant that protein quantitation was adequate using this new method. The team obtained reliable protein <span class=\"thread\">abundances\u00a0<\/span>for the cells, mouse tissues and plasma samples. Furthermore, they demonstrated that measuring nucleic acid levels following the FASP step gave accurate results.<\/p>\n<p>Wi\u015bniewski et al. noted that using the histone MS signal to determine protein levels requires minimal sample fractionation. Compared with results obtained using traditional spiked-in labeled references, the team <span class=\"thread\">found<\/span>\u00a0that the proteomic ruler gave a higher level of accuracy for quantitation. The researchers developed a <a href=\"http:\/\/www.coxdocs.org\/doku.php?id=perseus:user:plugins:store&amp;redirect=1\" target=\"_blank\">plug-in for Perseus data analysis<\/a> software\u00a0to aid with data interpretation.<\/p>\n<p>In summing up, the research team suggests that although the &#8220;proteomic ruler&#8221; approach is based on assumptions, removing error-prone steps should enhance data acquisition and interpretation. However, scientists implementing this method should ensure that sample preparation does not result in over- or under-representation of chromatin, which could skew reference points. Wi\u015bniewski et al. note that although this method is only suitable for deep eukaryote whole-cell proteome data sets, it can be used for retrospective analysis. They also suggest that the method could be extended to looking at other sub-cellular architectural features, including membrane proteins.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Reference<\/strong><\/p>\n<p>1. Wi\u015bniewski, J.R., et al. (2914) &#8220;<a href=\"http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/25225357\" target=\"_blank\">A \u2018proteomic ruler\u2019 for protein copy number and\u00a0concentration estimation without spike-in standards<\/a>,&#8221;\u00a0Molecular and Cellular Proteomics,\u00a013 (pp. 3497\u2013506). doi: 10.1074\/mcp.M113.037309.<\/p>\n<p>&nbsp;<\/p>\n<p>The Perseus proteomic ruler plug-in is available as source code and as compiled binary from<a href=\"http:\/\/perseus-framework.org\/plugins\" target=\"_blank\">\u00a0http:\/\/perseus-framework.org\/plugins<\/a>.<\/p>\n<p><em>Post Author: Amanda Maxwell. Mixed media artist; blogger and social media communicator; clinical scientist and writer. A digital space explorer, engaging readers by translating complex theories and subjects creatively into everyday language.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>According to Wi\u015bniewski et al. (2014), using the mass spectrometry (MS) signal generated by histones is a reliable and easily implemented first step in quantitating proteins.1\u00a0 Furthermore, using the \u201cproteomic ruler\u201d tool developed by the authors, researchers can cut out several steps that potentially introduce error in MS-based proteomic quantitative analysis. Since its introduction into<\/p>\n","protected":false},"author":21,"featured_media":8517,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[317],"tags":[219,815],"division":[],"class_list":{"0":"post-7200","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-bioinformatics-proteomics","8":"tag-histone","9":"tag-quantitation","10":"entry"},"_selected_authors":"","_selected_reviewers":"","acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.8 (Yoast SEO v27.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>A Proteomic Ruler that Measures Up<\/title>\n<meta name=\"description\" content=\"Histone spectral signals as a marker in data analysis software gives efficient estimation of protein content in mass spectrometric-based quantitative proteomics analysis.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.thermofisher.com\/blog\/proteomics\/a-proteomic-ruler-that-measures-up\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A Proteomic Ruler That Measures Up\" \/>\n<meta property=\"og:description\" content=\"Histone spectral signals as a marker in data analysis software gives efficient estimation of protein content in mass spectrometric-based quantitative proteomics analysis.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.thermofisher.com\/blog\/proteomics\/a-proteomic-ruler-that-measures-up\/\" \/>\n<meta property=\"og:site_name\" content=\"Accelerating Proteomics\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/thermofisher\" \/>\n<meta property=\"article:published_time\" content=\"2016-02-05T12:01:12+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2016-04-29T16:52:36+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/admin.acceleratingscience.com\/proteomics\/wp-content\/uploads\/sites\/2\/2016\/02\/Green-measuring-tape-on-the-wooden-background.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"667\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Amanda Maxwell\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@thermofisher\" \/>\n<meta name=\"twitter:site\" content=\"@thermofisher\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Amanda Maxwell\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.thermofisher.com\\\/blog\\\/proteomics\\\/a-proteomic-ruler-that-measures-up\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.thermofisher.com\\\/blog\\\/proteomics\\\/a-proteomic-ruler-that-measures-up\\\/\"},\"author\":{\"name\":\"Amanda Maxwell\",\"@id\":\"https:\\\/\\\/admin.acceleratingscience.com\\\/proteomics\\\/#\\\/schema\\\/person\\\/f572b16973d4ff71460b75a0a41a3632\"},\"headline\":\"A Proteomic Ruler That Measures Up\",\"datePublished\":\"2016-02-05T12:01:12+00:00\",\"dateModified\":\"2016-04-29T16:52:36+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.thermofisher.com\\\/blog\\\/proteomics\\\/a-proteomic-ruler-that-measures-up\\\/\"},\"wordCount\":630,\"commentCount\":0,\"image\":{\"@id\":\"https:\\\/\\\/www.thermofisher.com\\\/blog\\\/proteomics\\\/a-proteomic-ruler-that-measures-up\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/admin.acceleratingscience.com\\\/proteomics\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2016\\\/02\\\/Green-measuring-tape-on-the-wooden-background.jpg\",\"keywords\":[\"histone\",\"quantitation\"],\"articleSection\":[\"Bioinformatics\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/www.thermofisher.com\\\/blog\\\/proteomics\\\/a-proteomic-ruler-that-measures-up\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.thermofisher.com\\\/blog\\\/proteomics\\\/a-proteomic-ruler-that-measures-up\\\/\",\"url\":\"https:\\\/\\\/www.thermofisher.com\\\/blog\\\/proteomics\\\/a-proteomic-ruler-that-measures-up\\\/\",\"name\":\"A Proteomic Ruler that Measures Up\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/admin.acceleratingscience.com\\\/proteomics\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.thermofisher.com\\\/blog\\\/proteomics\\\/a-proteomic-ruler-that-measures-up\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.thermofisher.com\\\/blog\\\/proteomics\\\/a-proteomic-ruler-that-measures-up\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/admin.acceleratingscience.com\\\/proteomics\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2016\\\/02\\\/Green-measuring-tape-on-the-wooden-background.jpg\",\"datePublished\":\"2016-02-05T12:01:12+00:00\",\"dateModified\":\"2016-04-29T16:52:36+00:00\",\"author\":{\"@id\":\"https:\\\/\\\/admin.acceleratingscience.com\\\/proteomics\\\/#\\\/schema\\\/person\\\/f572b16973d4ff71460b75a0a41a3632\"},\"description\":\"Histone spectral signals as a marker in data analysis software gives efficient estimation of protein content in mass spectrometric-based quantitative proteomics analysis.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.thermofisher.com\\\/blog\\\/proteomics\\\/a-proteomic-ruler-that-measures-up\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.thermofisher.com\\\/blog\\\/proteomics\\\/a-proteomic-ruler-that-measures-up\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/www.thermofisher.com\\\/blog\\\/proteomics\\\/a-proteomic-ruler-that-measures-up\\\/#primaryimage\",\"url\":\"https:\\\/\\\/admin.acceleratingscience.com\\\/proteomics\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2016\\\/02\\\/Green-measuring-tape-on-the-wooden-background.jpg\",\"contentUrl\":\"https:\\\/\\\/admin.acceleratingscience.com\\\/proteomics\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2016\\\/02\\\/Green-measuring-tape-on-the-wooden-background.jpg\",\"width\":1000,\"height\":667,\"caption\":\"measuring green tape on the wooden background\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.thermofisher.com\\\/blog\\\/proteomics\\\/a-proteomic-ruler-that-measures-up\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/admin.acceleratingscience.com\\\/proteomics\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"A Proteomic Ruler That Measures Up\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/admin.acceleratingscience.com\\\/proteomics\\\/#website\",\"url\":\"https:\\\/\\\/admin.acceleratingscience.com\\\/proteomics\\\/\",\"name\":\"Accelerating Proteomics\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/admin.acceleratingscience.com\\\/proteomics\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/admin.acceleratingscience.com\\\/proteomics\\\/#\\\/schema\\\/person\\\/f572b16973d4ff71460b75a0a41a3632\",\"name\":\"Amanda Maxwell\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/80b1d135aff6be035b6cc16276a4d7f56aa67c117044edb6d87067d0ffa40ae5?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/80b1d135aff6be035b6cc16276a4d7f56aa67c117044edb6d87067d0ffa40ae5?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/80b1d135aff6be035b6cc16276a4d7f56aa67c117044edb6d87067d0ffa40ae5?s=96&d=mm&r=g\",\"caption\":\"Amanda Maxwell\"},\"url\":\"https:\\\/\\\/admin.acceleratingscience.com\\\/author\\\/amandamaxwell\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"A Proteomic Ruler that Measures Up","description":"Histone spectral signals as a marker in data analysis software gives efficient estimation of protein content in mass spectrometric-based quantitative proteomics analysis.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.thermofisher.com\/blog\/proteomics\/a-proteomic-ruler-that-measures-up\/","og_locale":"en_US","og_type":"article","og_title":"A Proteomic Ruler That Measures Up","og_description":"Histone spectral signals as a marker in data analysis software gives efficient estimation of protein content in mass spectrometric-based quantitative proteomics analysis.","og_url":"https:\/\/www.thermofisher.com\/blog\/proteomics\/a-proteomic-ruler-that-measures-up\/","og_site_name":"Accelerating Proteomics","article_publisher":"https:\/\/www.facebook.com\/thermofisher","article_published_time":"2016-02-05T12:01:12+00:00","article_modified_time":"2016-04-29T16:52:36+00:00","og_image":[{"width":1000,"height":667,"url":"https:\/\/admin.acceleratingscience.com\/proteomics\/wp-content\/uploads\/sites\/2\/2016\/02\/Green-measuring-tape-on-the-wooden-background.jpg","type":"image\/jpeg"}],"author":"Amanda Maxwell","twitter_card":"summary_large_image","twitter_creator":"@thermofisher","twitter_site":"@thermofisher","twitter_misc":{"Written by":"Amanda Maxwell","Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.thermofisher.com\/blog\/proteomics\/a-proteomic-ruler-that-measures-up\/#article","isPartOf":{"@id":"https:\/\/www.thermofisher.com\/blog\/proteomics\/a-proteomic-ruler-that-measures-up\/"},"author":{"name":"Amanda Maxwell","@id":"https:\/\/admin.acceleratingscience.com\/proteomics\/#\/schema\/person\/f572b16973d4ff71460b75a0a41a3632"},"headline":"A Proteomic Ruler That Measures Up","datePublished":"2016-02-05T12:01:12+00:00","dateModified":"2016-04-29T16:52:36+00:00","mainEntityOfPage":{"@id":"https:\/\/www.thermofisher.com\/blog\/proteomics\/a-proteomic-ruler-that-measures-up\/"},"wordCount":630,"commentCount":0,"image":{"@id":"https:\/\/www.thermofisher.com\/blog\/proteomics\/a-proteomic-ruler-that-measures-up\/#primaryimage"},"thumbnailUrl":"https:\/\/admin.acceleratingscience.com\/proteomics\/wp-content\/uploads\/sites\/2\/2016\/02\/Green-measuring-tape-on-the-wooden-background.jpg","keywords":["histone","quantitation"],"articleSection":["Bioinformatics"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.thermofisher.com\/blog\/proteomics\/a-proteomic-ruler-that-measures-up\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.thermofisher.com\/blog\/proteomics\/a-proteomic-ruler-that-measures-up\/","url":"https:\/\/www.thermofisher.com\/blog\/proteomics\/a-proteomic-ruler-that-measures-up\/","name":"A Proteomic Ruler that Measures Up","isPartOf":{"@id":"https:\/\/admin.acceleratingscience.com\/proteomics\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.thermofisher.com\/blog\/proteomics\/a-proteomic-ruler-that-measures-up\/#primaryimage"},"image":{"@id":"https:\/\/www.thermofisher.com\/blog\/proteomics\/a-proteomic-ruler-that-measures-up\/#primaryimage"},"thumbnailUrl":"https:\/\/admin.acceleratingscience.com\/proteomics\/wp-content\/uploads\/sites\/2\/2016\/02\/Green-measuring-tape-on-the-wooden-background.jpg","datePublished":"2016-02-05T12:01:12+00:00","dateModified":"2016-04-29T16:52:36+00:00","author":{"@id":"https:\/\/admin.acceleratingscience.com\/proteomics\/#\/schema\/person\/f572b16973d4ff71460b75a0a41a3632"},"description":"Histone spectral signals as a marker in data analysis software gives efficient estimation of protein content in mass spectrometric-based quantitative proteomics analysis.","breadcrumb":{"@id":"https:\/\/www.thermofisher.com\/blog\/proteomics\/a-proteomic-ruler-that-measures-up\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.thermofisher.com\/blog\/proteomics\/a-proteomic-ruler-that-measures-up\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.thermofisher.com\/blog\/proteomics\/a-proteomic-ruler-that-measures-up\/#primaryimage","url":"https:\/\/admin.acceleratingscience.com\/proteomics\/wp-content\/uploads\/sites\/2\/2016\/02\/Green-measuring-tape-on-the-wooden-background.jpg","contentUrl":"https:\/\/admin.acceleratingscience.com\/proteomics\/wp-content\/uploads\/sites\/2\/2016\/02\/Green-measuring-tape-on-the-wooden-background.jpg","width":1000,"height":667,"caption":"measuring green tape on the wooden background"},{"@type":"BreadcrumbList","@id":"https:\/\/www.thermofisher.com\/blog\/proteomics\/a-proteomic-ruler-that-measures-up\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/admin.acceleratingscience.com\/proteomics\/"},{"@type":"ListItem","position":2,"name":"A Proteomic Ruler That Measures Up"}]},{"@type":"WebSite","@id":"https:\/\/admin.acceleratingscience.com\/proteomics\/#website","url":"https:\/\/admin.acceleratingscience.com\/proteomics\/","name":"Accelerating Proteomics","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/admin.acceleratingscience.com\/proteomics\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/admin.acceleratingscience.com\/proteomics\/#\/schema\/person\/f572b16973d4ff71460b75a0a41a3632","name":"Amanda Maxwell","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/80b1d135aff6be035b6cc16276a4d7f56aa67c117044edb6d87067d0ffa40ae5?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/80b1d135aff6be035b6cc16276a4d7f56aa67c117044edb6d87067d0ffa40ae5?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/80b1d135aff6be035b6cc16276a4d7f56aa67c117044edb6d87067d0ffa40ae5?s=96&d=mm&r=g","caption":"Amanda Maxwell"},"url":"https:\/\/admin.acceleratingscience.com\/author\/amandamaxwell\/"}]}},"jetpack-related-posts":[],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"https:\/\/admin.acceleratingscience.com\/proteomics\/wp-content\/uploads\/sites\/2\/2016\/02\/Green-measuring-tape-on-the-wooden-background.jpg","_links":{"self":[{"href":"https:\/\/www.thermofisher.com\/blog\/proteomics\/wp-json\/wp\/v2\/posts\/7200","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.thermofisher.com\/blog\/proteomics\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.thermofisher.com\/blog\/proteomics\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.thermofisher.com\/blog\/proteomics\/wp-json\/wp\/v2\/users\/21"}],"replies":[{"embeddable":true,"href":"https:\/\/www.thermofisher.com\/blog\/proteomics\/wp-json\/wp\/v2\/comments?post=7200"}],"version-history":[{"count":0,"href":"https:\/\/www.thermofisher.com\/blog\/proteomics\/wp-json\/wp\/v2\/posts\/7200\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.thermofisher.com\/blog\/proteomics\/wp-json\/wp\/v2\/media\/8517"}],"wp:attachment":[{"href":"https:\/\/www.thermofisher.com\/blog\/proteomics\/wp-json\/wp\/v2\/media?parent=7200"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.thermofisher.com\/blog\/proteomics\/wp-json\/wp\/v2\/categories?post=7200"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.thermofisher.com\/blog\/proteomics\/wp-json\/wp\/v2\/tags?post=7200"},{"taxonomy":"division","embeddable":true,"href":"https:\/\/www.thermofisher.com\/blog\/proteomics\/wp-json\/wp\/v2\/division?post=7200"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}