Bioconjugate-functionalised nanoparticles can isolate proteins from a bioreactor fast and inexpensively, MIT researchers have found.
In a recent study, Massachusetts Institute of Technology (MIT) researchers developed a new purification method to cut the costs of manufacturing protein drugs. The engineers used bioconjugate-functionalised nanoparticles to quickly and inexpensively isolate proteins from a bioreactor.
This webinar showcases the Growth Direct System; an RMM (Rapid Microbial Method) that improves on traditional membrane filtration, delivering increased accuracy, a faster time to result, enhanced data integrity compliance, and more control over the manufacturing process.
Key learning points:
Understand the benefits of full workflow microbiology quality control testing automation in radiopharmaceutical production
Learn about ITM’s implementation journey and considerations when evaluating the technology
Find out how the advanced optics and microcolony detection capabilities of Growth Direct® technology impact time to result (TTR).
Don’t miss your chance to learn from experts in the industry –Register for FREE
Can’t attend live? No worries – register to receive the recording post-event.
Producing biologics by isolating proteins
Biologics like antibodies and other protein-based drugs are produced by living cells such as yeast in large bioreactors.
Once generated, the proteins need to be isolated from the reactor. Chromatography is the standard method. It separates proteins based on their size. However, the process can take up half of the total manufacturing cost.
Crystallising proteins is considered too slow for industrial use and doesn’t work well at low concentrations of protein. To overcome those obstacles, Varanasi’s lab decided to adapt nanoparticles so that they could locally increase the protein concentration at the surface. This would also provide a template to allow the proteins to align correctly and form crystals.
The nanoparticles “act as templates for enhancing protein crystal formation at low concentrations,” stated Kripa Varanasi, a professor of mechanical engineering at MIT and the senior author of the study.
Protein crystallisation of bioconjugate nanoparticles
A microfluidic device was designed to combine protein solution with nanoparticles and then form thousands of tiny, identical droplets. Inside each of these droplets, the proteins interact with the nanoparticles, which help them to form protein crystals. (Credit: MIT)
So, Varanasi and his colleagues tried a different approach, based on protein crystallisation.
The researchers demonstrated their method with lysozyme, an enzyme whose crystallisation properties have been well studied, and insulin.
To create the surface required, the team coated gold nanoparticles with bioconjugates maleimide (MAL) and N-hydroxysuccinimide ester (NHS). The authors explained that these are commonly used for tagging proteins for study or attaching protein drugs to drug-delivering nanoparticles.
When solutions of proteins are exposed to these coated nanoparticles, the proteins accumulate at the surface and bind to the bioconjugates, the researchers noted. Furthermore, the bioconjugates compel the proteins to align themselves with a specific orientation, creating a scaffold for additional proteins to come along and join the crystal.
Findings from new purification method
With the coated particles, the researchers saw a sevenfold reduction in the induction time, how long it takes for crystals to begin forming.
A threefold increase in the nucleation rate, how quickly the crystals grow once started, was also observed.
“Even at low protein concentrations, we see a lot more crystals forming with these bioconjugate-functionalised nanoparticles,” Caroline McCue, lead author of the study shared. “The functionalised nanoparticles reduce the induction time so much because these bioconjugates are providing a specific site for the proteins to bind. And because the proteins are aligned, they can form a crystal faster.
”The findings indicated that crystallisation occurred much faster when the proteins were exposed to the bioconjugate-coated nanoparticles, compared to bare nanoparticles or no nanoparticles.
Analysing proteins crystals using machine learning
In addition, the team used machine learning to analyse thousands of images of crystals. McCue explained: “we needed to have a huge dataset to be able to really measure whether our approach was improving the induction time and nucleation rate of crystallisation. With so many images to process, machine learning is the best way to be able to determine when crystals are forming in each image without having to go through and manually count each one.”
The MIT team is now working to scale up the process for use in an industrial bioreactor, and demonstrating that it can work with monoclonal antibodies, vaccines, and other useful proteins.
“This is a general approach that could be scaled to other systems as well. If you know the protein structure that you’re trying to crystallise, you can then add the right bioconjugates that will force this process to happen,” Varanasi stated.
In addition to the Gates Foundation, the research was partly funded by a National Science Foundation Graduate Research Fellowship.
This website uses cookies to enable, optimise and analyse site operations, as well as to provide personalised content and allow you to connect to social media. By clicking "I agree" you consent to the use of cookies for non-essential functions and the related processing of personal data. You can adjust your cookie and associated data processing preferences at any time via our "Cookie Settings". Please view our Cookie Policy to learn more about the use of cookies on our website.
This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorised as ”Necessary” are stored on your browser as they are as essential for the working of basic functionalities of the website. For our other types of cookies “Advertising & Targeting”, “Analytics” and “Performance”, these help us analyse and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these different types of cookies. But opting out of some of these cookies may have an effect on your browsing experience. You can adjust the available sliders to ‘Enabled’ or ‘Disabled’, then click ‘Save and Accept’. View our Cookie Policy page.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Cookie
Description
cookielawinfo-checkbox-advertising-targeting
The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Advertising & Targeting".
cookielawinfo-checkbox-analytics
This cookie is set by GDPR Cookie Consent WordPress Plugin. The cookie is used to remember the user consent for the cookies under the category "Analytics".
cookielawinfo-checkbox-necessary
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-performance
This cookie is set by GDPR Cookie Consent WordPress Plugin. The cookie is used to remember the user consent for the cookies under the category "Performance".
PHPSESSID
This cookie is native to PHP applications. The cookie is used to store and identify a users' unique session ID for the purpose of managing user session on the website. The cookie is a session cookies and is deleted when all the browser windows are closed.
viewed_cookie_policy
The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
zmember_logged
This session cookie is served by our membership/subscription system and controls whether you are able to see content which is only available to logged in users.
Performance cookies are includes cookies that deliver enhanced functionalities of the website, such as caching. These cookies do not store any personal information.
Cookie
Description
cf_ob_info
This cookie is set by Cloudflare content delivery network and, in conjunction with the cookie 'cf_use_ob', is used to determine whether it should continue serving “Always Online” until the cookie expires.
cf_use_ob
This cookie is set by Cloudflare content delivery network and is used to determine whether it should continue serving “Always Online” until the cookie expires.
free_subscription_only
This session cookie is served by our membership/subscription system and controls which types of content you are able to access.
ls_smartpush
This cookie is set by Litespeed Server and allows the server to store settings to help improve performance of the site.
one_signal_sdk_db
This cookie is set by OneSignal push notifications and is used for storing user preferences in connection with their notification permission status.
YSC
This cookie is set by Youtube and is used to track the views of embedded videos.
Analytics cookies collect information about your use of the content, and in combination with previously collected information, are used to measure, understand, and report on your usage of this website.
Cookie
Description
bcookie
This cookie is set by LinkedIn. The purpose of the cookie is to enable LinkedIn functionalities on the page.
GPS
This cookie is set by YouTube and registers a unique ID for tracking users based on their geographical location
lang
This cookie is set by LinkedIn and is used to store the language preferences of a user to serve up content in that stored language the next time user visit the website.
lidc
This cookie is set by LinkedIn and used for routing.
lissc
This cookie is set by LinkedIn share Buttons and ad tags.
vuid
We embed videos from our official Vimeo channel. When you press play, Vimeo will drop third party cookies to enable the video to play and to see how long a viewer has watched the video. This cookie does not track individuals.
wow.anonymousId
This cookie is set by Spotler and tracks an anonymous visitor ID.
wow.schedule
This cookie is set by Spotler and enables it to track the Load Balance Session Queue.
wow.session
This cookie is set by Spotler to track the Internet Information Services (IIS) session state.
wow.utmvalues
This cookie is set by Spotler and stores the UTM values for the session. UTM values are specific text strings that are appended to URLs that allow Communigator to track the URLs and the UTM values when they get clicked on.
_ga
This cookie is set by Google Analytics and is used to calculate visitor, session, campaign data and keep track of site usage for the site's analytics report. It stores information anonymously and assign a randomly generated number to identify unique visitors.
_gat
This cookies is set by Google Universal Analytics to throttle the request rate to limit the collection of data on high traffic sites.
_gid
This cookie is set by Google Analytics and is used to store information of how visitors use a website and helps in creating an analytics report of how the website is doing. The data collected including the number visitors, the source where they have come from, and the pages visited in an anonymous form.
Advertising and targeting cookies help us provide our visitors with relevant ads and marketing campaigns.
Cookie
Description
advanced_ads_browser_width
This cookie is set by Advanced Ads and measures the browser width.
advanced_ads_page_impressions
This cookie is set by Advanced Ads and measures the number of previous page impressions.
advanced_ads_pro_server_info
This cookie is set by Advanced Ads and sets geo-location, user role and user capabilities. It is used by cache busting in Advanced Ads Pro when the appropriate visitor conditions are used.
advanced_ads_pro_visitor_referrer
This cookie is set by Advanced Ads and sets the referrer URL.
bscookie
This cookie is a browser ID cookie set by LinkedIn share Buttons and ad tags.
IDE
This cookie is set by Google DoubleClick and stores information about how the user uses the website and any other advertisement before visiting the website. This is used to present users with ads that are relevant to them according to the user profile.
li_sugr
This cookie is set by LinkedIn and is used for tracking.
UserMatchHistory
This cookie is set by Linkedin and is used to track visitors on multiple websites, in order to present relevant advertisement based on the visitor's preferences.
VISITOR_INFO1_LIVE
This cookie is set by YouTube. Used to track the information of the embedded YouTube videos on a website.