Refeyn

Refeyn

Biotechnology Research

Oxford, Oxfordshire 5,785 followers

University of Oxford spinout specializing in mass photometry, a revolutionary new technology for analysing biomolecules.

About us

Refeyn, the pioneer of mass photometry, is delivering a disruptive new generation of analytical instruments that let you weigh individual molecules with light. Mass photometry offers new possibilities to characterise the function, structural composition and dynamics of biomolecules. Refeyn instruments measure the mass of individual molecules directly in solution, rapidly, and simply, revealing the true behaviour of molecules in near-native environments, providing scientists with key information about their mass distribution. Refeyn was spun out of Oxford University in 2018 to make mass photometry available globally. Its technology has now been rapidly adopted across academia and industry, where it is transforming biomolecular characterisation.

Industry
Biotechnology Research
Company size
51-200 employees
Headquarters
Oxford, Oxfordshire
Type
Privately Held
Founded
2018

Locations

Employees at Refeyn

Updates

  • Refeyn reposted this

    View organization page for Nanogami, graphic

    3,448 followers

    🚀 Excited to share that together with tilibit nanosystems we collaborate on a research project to develop biochips designed for the specific capture and release of antibodies (IgG) and adeno-associated virus (AAV) particles on Refeyn's mass photometry instruments, as well as binding and unbinding rates across a diverse range of target classes.   What sets our approach apart? Our biochips offer highly specific binding capabilities, eliminating the need for probe purification while still delivering exceptional results. Leveraging DNA nanotechnology, we develop surfaces with innovative functions.   Stay tuned for more updates! 🌟   #Biotech #DrugDiscovery #Innovation #PharmaTech #MassPhotometry

    • No alternative text description for this image
  • View organization page for Refeyn, graphic

    5,785 followers

    #MassPhotometry proves again to be a great friend of structural biologists 🧬, as it can characterize protein-DNA complexes with little experimental effort!  ✨ This study aimed to understand how RADX participates in the regulation of the activity of RAD51 during DNA replication fork reversal. #MassPhotometry characterized the oligomerization behavior of RADX at nanomolar concentrations – corresponding to its basal cell expression – revealing that it favors trimer formation in the presence of ssDNA🧬. The authors also used cryo-EM and nsEM to better understand the molecular mechanisms of RADX oligomerization and how it acts to regulate the formation of RAD51 filaments.  This study was authored by Swati Balakrishnan Ph.D. from Vanderbilt University and colleagues. Read the whole article here! 👉https://lnkd.in/gw4-uA2u #MassPhotometryStories #StructuralBiology

    • No alternative text description for this image
  • View organization page for Refeyn, graphic

    5,785 followers

    An excellent article where professionals and researchers explain the main analytical challenges that need to be overcome in order to speed up the development and production of safe and effective mRNA-based therapies. 🧬 Read it to know how #MassPhotometry may play an essential role in the development of the next generation of therapeutics. 🔬 #AnalyticalScience 

  • View organization page for Refeyn, graphic

    5,785 followers

    🚨A reminder to register for the upcoming webinar on how to accelerate the development and production of AAV-based therapeutics!  Learn from Regeneron’s Marília Barros and Refeyn’s Matthew Ranaghan about the best analytical strategies to analyze the ratios of empty/full/partial AAV ratios, capsid titers, sample purity and other key quality attributes essential for successful drug development. And of course, how to integrate #MassPhotometry in your workflows for fast, sample-efficient analysis. 🔬📊  Register here 👉 https://lnkd.in/dfMqa7dY

    • No alternative text description for this image
  • View organization page for Refeyn, graphic

    5,785 followers

    Come visit us at PEGS EU from the 5-7 of November 🌍 Make sure to attend Racha Majed’s talk on 6th November at 5.15pm to learn how #MassPhotometry supports antibody characterization🧬, including assessing sample quality of various antibody modalities (mAbs, ADCs, Bispecifics), characterizing antibody-antigen interactions 🔬 and easily monitoring aggregation. 

    • No alternative text description for this image
  • View organization page for Refeyn, graphic

    5,785 followers

    Fractal self-assembly at a molecular level is observed for the first time in a natural system! The citrate synthase from Synechococcus elongatus self-assembles into fractal structures known as Sierpiński triangles. The basic building block of these structures are hexamers, that then can assemble into 18ers and 54ers. This paper uses structural techniques and mutational studies to study in detail how these structures are formed. The authors also explore if these fractal structures can be adaptive by looking at the evolutionary history of citrate synthase, going so far as to resurrect ancestral forms of the protein 🦕. #MassPhotometry was used extensively to study the oligomeric state of the wild-type protein, mutational variants and reconstructed ancestral forms. This work by Senker and colleagues was a cooperative effort by multiple institutions and laboratories, including Georg Hochberg’s lab at The Philipp University of Marburg and Refeyn’s co-founder Justin Benesch at the Kavli Institute for Nanoscience Discovery, University of Oxford. Read the full study here! https://lnkd.in/gCryQSqs #MassPhotometryStories

    • No alternative text description for this image
  • View organization page for Refeyn, graphic

    5,785 followers

    A robust analytical strategy is key to producing AAV-based therapeutics to the highest quality and safety standards – and it should include #MassPhotometry 😉 In this article, Michael Born – then a manager with MilliporeSigma’s viral vector CDMO analytical development team – explains his 7-step playbook to build an effective analytical testing strategy. This is complex work that requires the smart application of different analytical techniques, and we are proud to say that mass photometry plays a crucial role in several steps 💡 Read the full article here! https://lnkd.in/dcVnyTkU

    • No alternative text description for this image
  • View organization page for Refeyn, graphic

    5,785 followers

    🚨 The countdown is over – #ESCGT2024 starts tomorrow! We can’t wait to meet you at our booth (A07) and share how Refeyn’s solutions are revolutionizing AAV and viral vector analytics. 🧬 Here’s what you can discover: 🔹 Precise quantification of full, empty, and partially filled AAV capsids 🔹 Highly reproducible measurements in under 5 minutes 🔹 Minimal sample requirements - perfect for early process development Come chat with our on-ground scientists and see how we can help accelerate your research! 👋 #AAVAnalytics #ViralVectorAnalytics #GeneTherapy

    • No alternative text description for this image
  • View organization page for Refeyn, graphic

    5,785 followers

    #MassPhotometry works at low concentrations and requires no labels – and sometimes this is exactly what you need! 👈 Kinesin-streptavidin complexes used in microtubule-based active matter systems were frequently assumed to present in ratios of 2 kinesin dimers per 1 streptavidin tetramer. However, this was difficult to confirm experimentally, partly due to the limitations of current analytical techniques such as DLS, ultracentrifugation, or fluorescence-based assays. Jing Xu, Keir Neuman and colleagues solved this problem by using mass photometry to explore the stoichiometry of kinesin-streptavidin complexes under different conditions. They found that these complexes form heterogeneous populations with different stoichiometries, and that the distribution of different stoichiometries changed depending on kinesin and streptavidin mixing ratios. The full paper is available here! 💡 https://lnkd.in/gyUFSkun #MassPhotometryStories

    • No alternative text description for this image
  • View organization page for Refeyn, graphic

    5,785 followers

    Nobel Prize trivia time! 💡 𝗤. 𝗪𝗵𝗶𝗰𝗵 𝗼𝗳 𝘁𝗵𝗶𝘀 𝘆𝗲𝗮𝗿’𝘀 𝗡𝗼𝗯𝗲𝗹 𝗣𝗿𝗶𝘇𝗲 𝘄𝗶𝗻𝗻𝗲𝗿𝘀 𝗶𝘀 𝗮 𝗺𝗮𝘀𝘀 𝗽𝗵𝗼𝘁𝗼𝗺𝗲𝘁𝗿𝘆 𝘂𝘀𝗲𝗿?   Hint: They won the prize in Chemistry…  A. It’s David Baker, Director of the Institute for Protein Design, University of Washington and Howard Hughes Medical Institute Investigator, who was awarded the prize for computational protein design.  Baker published a fabulous paper this year on designing allosterically switchable protein assemblies – where binding at one protein site triggers conformational changes at others, enabling modulation of ‘action at a distance’. In that study, he and his colleagues used their TwoMP to assess the oligomerization and cooperativity of the assemblies they had developed.  Congratulations to David, his co-winners and their teams! Check out the paper here: https://lnkd.in/gBxdCtwe 

    View organization page for The Nobel Prize, graphic

    904,047 followers

    BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 Nobel Prize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”   The Nobel Prize in Chemistry 2024 is about proteins, life’s ingenious chemical tools. David Baker has succeeded with the almost impossible feat of building entirely new kinds of proteins. Demis Hassabis and John Jumper have developed an AI model to solve a 50-year-old problem: predicting proteins’ complex structures. These discoveries hold enormous potential.   The diversity of life testifies to proteins’ amazing capacity as chemical tools. They control and drive all the chemical reactions that together are the basis of life. Proteins also function as hormones, signal substances, antibodies and the building blocks of different tissues.   Proteins generally consist of 20 different amino acids, which can be described as life’s building blocks. In 2003, David Baker succeeded in using these blocks to design a new protein that was unlike any other protein. Since then, his research group has produced one imaginative protein creation after another, including proteins that can be used as pharmaceuticals, vaccines, nanomaterials and tiny sensors.   The second discovery concerns the prediction of protein structures. In proteins, amino acids are linked together in long strings that fold up to make a three-dimensional structure, which is decisive for the protein’s function. Since the 1970s, researchers had tried to predict protein structures from amino acid sequences, but this was notoriously difficult. However, four years ago, there was a stunning breakthrough.   In 2020, Demis Hassabis and John Jumper presented an AI model called AlphaFold2. With its help, they have been able to predict the structure of virtually all the 200 million proteins that researchers have identified. Since their breakthrough, AlphaFold2 has been used by more than two million people from 190 countries. Among a myriad of scientific applications, researchers can now better understand antibiotic resistance and create images of enzymes that can decompose plastic.   Life could not exist without proteins. That we can now predict protein structures and design our own proteins confers the greatest benefit to humankind. Learn more Press release: https://bit.ly/3TM8oVs Popular information: https://bit.ly/3XYHZGp Advanced information: https://bit.ly/4ewMBta

    • No alternative text description for this image

Similar pages

Browse jobs

Funding

Refeyn 2 total rounds

Last Round

Series A

US$ 30.0M

See more info on crunchbase