{"id":6190,"date":"2021-04-26T08:38:19","date_gmt":"2021-04-26T08:38:19","guid":{"rendered":"https:\/\/41j.com\/blog\/?p=6190"},"modified":"2021-04-26T08:38:19","modified_gmt":"2021-04-26T08:38:19","slug":"the-centrillion-virushunter","status":"publish","type":"post","link":"https:\/\/41j.com\/blog\/2021\/04\/the-centrillion-virushunter\/","title":{"rendered":"The Centrillion VirusHunter"},"content":{"rendered":"\n<p>DISCLAIMER: I\u2019m currently working on a seed stage sequencing related project. So, keep that in mind when evaluating my comments. And get in touch (new@sgenomics.org) if this might be of interest.<\/p>\n\n\n\n<p>There&#8217;s a new <a href=\"https:\/\/www.einnews.com\/pr_news\/539043202\/centrillion-announces-high-throughput-sars-cov-2-genomic-sequencing-chips-and-services-for-variant-tracking\">press release out from Centrillion<\/a> suggesting their sequencing platform should be available now\/soon. I&#8217;ve <a href=\"https:\/\/41j.com\/blog\/2018\/07\/centrillion-technologies\/\">previously covered Centrillion<\/a>, and recommend referring to that post for background on the company.<\/p>\n\n\n\n<p>The press release doesn&#8217;t give much information, but references a <a href=\"https:\/\/pubs.acs.org\/doi\/abs\/10.1021\/acs.langmuir.0c02927\">recent publication<\/a>, which provides more details. The paper describes a tiling array covering the entire SARS-CoV-2 genome. This is essentially a traditional microarray which covers the every possible SNP in the known SARS-CoV-2 genome. They describe this as follows:<\/p>\n\n\n\n<p><em>&#8220;Here we describe a full genome tiling array with more than 240 000 features that provide 2x coverage of the entire SARS-CoV-2 genome  and the use of such a genome tiling array to sequence the genome from eight clinical samples&#8221;<\/em><\/p>\n\n\n\n<p><em>&#8220;Each base has two corresponding probe sets: one for the sense strand and one for the antisense strand.&#8221;&#8230;&#8221;one for each base&#8221;<\/em><\/p>\n\n\n\n<p>So, Centrillion use a total of 8 probes per site. SARS-CoV-2 has an ~30Kb genome, which gives us the 240K features mentioned above. They use 25bp strands in their array. Tiling arrays have a number of limitations as compared to sequencing based variant detection. Firstly, it&#8217;s not clear what issues might be caused by multiple mutations covered by the 25mer. Such mutations would likely reduce hybridization efficiency, and could result in a variant miscall or &#8220;nocall&#8221;. The approach is also not able to detect deletions or insertions. These limitations make tiling arrays less interesting as a general purpose tool.<\/p>\n\n\n\n<p>I personally would not characterize tiling arrays as &#8220;sequencing&#8221; or &#8220;resequencing&#8221;. In a tiling array you get a single read out for each position. Sequencing approaches generally produce a continuous readout of bases, without prior knowledge of the sequence context.<\/p>\n\n\n\n<p>The paper presents a comparison of their approach against Illumina sequencing, summarized the in table below:<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"379\" src=\"https:\/\/41j.com\/blog\/wp-content\/uploads\/2021\/04\/image-67-1024x379.png\" alt=\"\" class=\"wp-image-6191\" srcset=\"https:\/\/41j.com\/blog\/wp-content\/uploads\/2021\/04\/image-67-1024x379.png 1024w, https:\/\/41j.com\/blog\/wp-content\/uploads\/2021\/04\/image-67-300x111.png 300w, https:\/\/41j.com\/blog\/wp-content\/uploads\/2021\/04\/image-67-150x56.png 150w, https:\/\/41j.com\/blog\/wp-content\/uploads\/2021\/04\/image-67-768x284.png 768w, https:\/\/41j.com\/blog\/wp-content\/uploads\/2021\/04\/image-67-1536x569.png 1536w, https:\/\/41j.com\/blog\/wp-content\/uploads\/2021\/04\/image-67-2048x758.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>From the table above, noncalls are in the region of 1% seems to be one of the more concerning issues. I assume this means that both sets of probes essentially failed to provide a useful signal at these positions. The accuracy for the remaining positions seems reasonable (though less than I&#8217;d expect, given a known reference for the exact variant).<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Summary<\/h2>\n\n\n\n<p>This is a fairly traditional tiling array for SARS-CoV-2 variant detection.<\/p>\n\n\n\n<p>From the press release, it seems this is pitched as a lower cost alternative to sequencing. I don&#8217;t have good current pricing for microarrays, but I imagine the array they&#8217;re suggesting would cost >>$30, <a href=\"https:\/\/cores.utah.edu\/genomics\/genomics-whole-genome-snp-genotyping\/\">based on microarray prices<\/a> I&#8217;ve seen. This is significantly more expensive than qPCR based testing (probably x10). This makes it too expensive for routine use in SARS-CoV-2 testing.<\/p>\n\n\n\n<p>A detailed cost comparison against sequencing would be interesting. But I suspect we&#8217;re not talking about an order of magnitude cost difference. For me, this wouldn&#8217;t be enough to make an array based approach attractive, given that sequencing provides a richer dataset and more accurate.<\/p>\n\n\n\n<p>Hopefully Centrillion will continue to develop some of their<a href=\"https:\/\/41j.com\/blog\/2018\/07\/centrillion-technologies\/\"> sequencing<\/a> based ideas in the future.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>DISCLAIMER: I\u2019m currently working on a seed stage sequencing related project. So, keep that in mind when evaluating my comments. And get in touch (new@sgenomics.org) if this might be of interest. There&#8217;s a new press release out from Centrillion suggesting their sequencing platform should be available now\/soon. I&#8217;ve previously covered Centrillion, and recommend referring to [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_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":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[1],"tags":[],"class_list":["post-6190","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p1RRoU-1BQ","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/41j.com\/blog\/wp-json\/wp\/v2\/posts\/6190","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/41j.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/41j.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/41j.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/41j.com\/blog\/wp-json\/wp\/v2\/comments?post=6190"}],"version-history":[{"count":2,"href":"https:\/\/41j.com\/blog\/wp-json\/wp\/v2\/posts\/6190\/revisions"}],"predecessor-version":[{"id":6193,"href":"https:\/\/41j.com\/blog\/wp-json\/wp\/v2\/posts\/6190\/revisions\/6193"}],"wp:attachment":[{"href":"https:\/\/41j.com\/blog\/wp-json\/wp\/v2\/media?parent=6190"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/41j.com\/blog\/wp-json\/wp\/v2\/categories?post=6190"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/41j.com\/blog\/wp-json\/wp\/v2\/tags?post=6190"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}