Design of growth-coupled measurements of single-chain antibody fragment function

We are building a new class of optical biosensors comprised of quantum defect-functionalized carbon nanotubes conjugated to designed phase-changing antibody fragments (scFvs) fashioned to make implantable nanosensors that detect proinflammatory cytokines such as human Interleukin-6 (hIL-6) in patients in real time. hIL-6 is a clinical biomarker for a number of important diseases, including ovarian cancer, lung cancer, and cytokine storm in sepsis, covid, and Car-T syndrome in patients undergoing cancer immunotherapy. Our first paper on this was recently published in JACS1. Increased affinity to the cytokine target will improve sensitivity and expand dynamic range in our sensor platform. In addition to hIL-6, we intend to expand on this approach to target several additional cytokines, eventually enabling the design of high-affinity scFvs to cytokine targets outside of our dataset. With Align to Innovate we will create datasets that will enable the development of new AI approaches to predictively engineer scFvs and other loop-presenting proteins as sensing elements for a diverse set of cytokines relevant to human health.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-11
DOI
https://doi.org/10.5281/zenodo.14291111
Primary Topic
Carbon Nanotubes in Composites
Type
article
Field-Weighted Citation Impact
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article

Design of growth-coupled measurements of single-chain antibody fragment function

Zenodo (CERN European Organization for Nuclear Research)
Carbon Nanotubes in Composites
article

Design of growth-coupled measurements of single-chain antibody fragment function

article en

Abstract

We are building a new class of optical biosensors comprised of quantum defect-functionalized carbon nanotubes conjugated to designed phase-changing antibody fragments (scFvs) fashioned to make implantable nanosensors that detect proinflammatory cytokines such as human Interleukin-6 (hIL-6) in patients in real time. hIL-6 is a clinical biomarker for a number of important diseases, including ovarian cancer, lung cancer, and cytokine storm in sepsis, covid, and Car-T syndrome in patients undergoing cancer immunotherapy. Our first paper on this was recently published in JACS1. Increased affinity to the cytokine target will improve sensitivity and expand dynamic range in our sensor platform. In addition to hIL-6, we intend to expand on this approach to target several additional cytokines, eventually enabling the design of high-affinity scFvs to cytokine targets outside of our dataset. With Align to Innovate we will create datasets that will enable the development of new AI approaches to predictively engineer scFvs and other loop-presenting proteins as sensing elements for a diverse set of cytokines relevant to human health.

Zenodo (CERN European Organization for Nuclear Research)
City College of New York (US), National Institute of Standards and Technology (US), Align Technology (United States) (US), National Institute of Standards (EG), The Align Foundation (US)
Openalex Percentile: Top 71%
Carbon Nanotubes in Composites
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