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Miniaturized microarray-format digital ELISA enabled by lithographic protein patterning.

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Title: Miniaturized microarray-format digital ELISA enabled by lithographic protein patterning.
Authors: Stephens, Andrew D.1 (AUTHOR), Song, Yujing1 (AUTHOR), McClellan, Brandon L.2,3,4 (AUTHOR), Su, Shiuan-Haur1 (AUTHOR), Xu, Sonnet1 (AUTHOR), Chen, Kevin5 (AUTHOR), Castro, Maria G.2,3,6 (AUTHOR), Singer, Benjamin H.7,8 (AUTHOR), Kurabayashi, Katsuo1,9 (AUTHOR) kk5165@nyu.edu
Source: Biosensors & Bioelectronics. Oct2023, Vol. 237, pN.PAG-N.PAG. 1p.
Subjects: Immunoassay, Tumor markers, Early diagnosis, Animal welfare, Proteins, Cancer invasiveness
Abstract: The search for reliable protein biomarker candidates is critical for early disease detection and treatment. However, current immunoassay technologies are failing to meet increasing demands for sensitivity and multiplexing. Here, the authors have created a highly sensitive protein microarray using the principle of single-molecule counting for signal amplification, capable of simultaneously detecting a panel of cancer biomarkers at sub-pg/mL levels. To enable this amplification strategy, the authors introduce a novel method of protein patterning using photolithography to subdivide addressable arrays of capture antibody spots into hundreds of thousands of individual microwells. This allows for the total sensor area to be miniaturized, increasing the total possible multiplex capacity. With the immunoassay realized on a standard 75x25 mm form factor glass substrate, sample volume consumption is minimized to <10 μL, making the technology highly efficient and cost-effective. Additionally, the authors demonstrate the power of their technology by measuring six secretory factors related to glioma tumor progression in a cohort of mice. This highly sensitive, sample-sparing multiplex immunoassay paves the way for researchers to track changes in protein profiles over time, leading to earlier disease detection and discovery of more effective treatment using animal models. [ABSTRACT FROM AUTHOR]
Copyright of Biosensors & Bioelectronics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 169832309
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Stephens%2C+Andrew+D%2E%22&quot;&gt;Stephens, Andrew D.&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Song%2C+Yujing%22&quot;&gt;Song, Yujing&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22McClellan%2C+Brandon+L%2E%22&quot;&gt;McClellan, Brandon L.&lt;/searchLink&gt;&lt;relatesTo&gt;2,3,4&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Su%2C+Shiuan-Haur%22&quot;&gt;Su, Shiuan-Haur&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Xu%2C+Sonnet%22&quot;&gt;Xu, Sonnet&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Chen%2C+Kevin%22&quot;&gt;Chen, Kevin&lt;/searchLink&gt;&lt;relatesTo&gt;5&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Castro%2C+Maria+G%2E%22&quot;&gt;Castro, Maria G.&lt;/searchLink&gt;&lt;relatesTo&gt;2,3,6&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Singer%2C+Benjamin+H%2E%22&quot;&gt;Singer, Benjamin H.&lt;/searchLink&gt;&lt;relatesTo&gt;7,8&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Kurabayashi%2C+Katsuo%22&quot;&gt;Kurabayashi, Katsuo&lt;/searchLink&gt;&lt;relatesTo&gt;1,9&lt;/relatesTo&gt; (AUTHOR)&lt;i&gt; kk5165@nyu.edu&lt;/i&gt;
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  Data: The search for reliable protein biomarker candidates is critical for early disease detection and treatment. However, current immunoassay technologies are failing to meet increasing demands for sensitivity and multiplexing. Here, the authors have created a highly sensitive protein microarray using the principle of single-molecule counting for signal amplification, capable of simultaneously detecting a panel of cancer biomarkers at sub-pg/mL levels. To enable this amplification strategy, the authors introduce a novel method of protein patterning using photolithography to subdivide addressable arrays of capture antibody spots into hundreds of thousands of individual microwells. This allows for the total sensor area to be miniaturized, increasing the total possible multiplex capacity. With the immunoassay realized on a standard 75x25 mm form factor glass substrate, sample volume consumption is minimized to &lt;10 μL, making the technology highly efficient and cost-effective. Additionally, the authors demonstrate the power of their technology by measuring six secretory factors related to glioma tumor progression in a cohort of mice. This highly sensitive, sample-sparing multiplex immunoassay paves the way for researchers to track changes in protein profiles over time, leading to earlier disease detection and discovery of more effective treatment using animal models. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Biosensors &amp; Bioelectronics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.bios.2023.115536
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Immunoassay
        Type: general
      – SubjectFull: Tumor markers
        Type: general
      – SubjectFull: Early diagnosis
        Type: general
      – SubjectFull: Animal welfare
        Type: general
      – SubjectFull: Proteins
        Type: general
      – SubjectFull: Cancer invasiveness
        Type: general
    Titles:
      – TitleFull: Miniaturized microarray-format digital ELISA enabled by lithographic protein patterning.
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            NameFull: Stephens, Andrew D.
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            NameFull: Song, Yujing
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            NameFull: McClellan, Brandon L.
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            NameFull: Su, Shiuan-Haur
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            NameFull: Xu, Sonnet
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            NameFull: Chen, Kevin
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            – D: 01
              M: 10
              Text: Oct2023
              Type: published
              Y: 2023
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              Value: 09565663
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              Value: 237
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