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Translating Proteomics hosts Parag Mallick and Andreas Huhmer discuss our new Nature Methods paper, “Large-scale single-molecule analysis of tau proteoforms.” This publication describes how the Nautilus Voyager™ Platform can be used to quantify proteoforms derived from the neurodegeneration-associated tau protein. These proteoforms are defined by their unique combinations of post-translational modifications and isoform specific sequences. They may make powerful next-generation biomarkers or drug targets, but few technologies can measure them today. In the episode, Parag and Andreas discuss: What proteoforms are and why it’s critical to study them to understand biology.How the Nautilus Voyager™ Platform quantifies proteoforms.The key findings from the tau proteoform analyses in the paper.Potential applications of these findings.The Nautilus Voyager™ Platform as a powerful foundational technology. Access our video series exploring the paper in more detail.

On the latest episode of the Translating Proteomics podcast, Nautilus VP of Scientific Engagement and proteomics industry expert Sheri Wilcox joins hosts Parag Mallick and Andreas Huhmer for a thought-provoking discussion of their proteomics "hot takes.” Each “hot take” is a provocative opinion on a topic in proteomics. Specifically, they cover: Insufficient biological validation is one of the biggest problems in proteomics.Antibody validation remains a distributed, inconsistent, lab-by-lab responsibility, and this model for validation may not be sustainable going forward.AI cell models are overhyped. Check out the episode for deep explorations of each of these hot takes and their potential remedies. After listening, be sure to let us know whether you agree, disagree, or have your own hot take to share!

Professor Olga Vitek has a deep understanding of statistics, machine learning, and computational biology. She puts her know-how to work to develop computational tools enabling high-quality proteomic analysis and systems biology approaches. She hopes to apply these tools to the quantitative analysis of large-scale mass spectrometry-based investigations and thereby advance our understanding of organismal function. In this episode, Parag and Professor Vitek discuss: Why statistics is important for experimental designHow statistics and AI can help researchers understand biologyGaps keeping us from using AI and statistics to their maximum potential in biology ResourcesStatistical methods for studies of biomolecular systems website Olga’s personal lab website Beyond protein lists: AI-assisted interpretation of proteomic investigations in the context of evolving scientific knowledge Gyori and Vitek, 2024 discuss how AI can be used to interpret proteomics data and its biological meaning. A Bayesian Active Learning Experimental Design for Inferring Signaling Networks Ness et al., 2018 show how statistical methods can guide the selection of experiments that optimally enhance understanding

Host Parag Mallick chats with Professor Afshin Beheshti who is a Professor of Surgery, Director of the Center for Space Biomedicine, and Associate Director of the McGowan Institute for Regenerative Medicine at the University of Pittsburgh. In addition, Professor Beheshti has a visiting researcher appointment at the Broad Institute of MIT and Harvard and is president of two non-profits – the COVID-19 International Research Team and Kwaai. The latter aims to democratize access to artificial intelligence through the design, construction, and maintenance of a free personal AI called Kwaai. Professor Beheshti’s research covers a range of topics focused on how circulating mirco RNAs and mitochondria impact health, but this conversation focuses primarily on Professor Beheshti’s work advancing our understanding of how spaceflight impacts biology. We cover: How research on spaceflight and biology is doneGaps that remain in our understanding of spaceflight and biologyOmics studies of spaceflight and biologyHow studying spaceflight and biology enhances our understanding of human health more broadly ResourcesTrivedi Institute for Space and Global Biomedicine New Institute at the University of Pittsburgh focused on “advancing human health through space-driven innovation” NASA Open Science Data Repository "Provides open access to biological and physical science datasets from spaceflight and ground studies, enabling data reuse for discovery and innovation." Camera et al., 2024. Agining and putative frailty biomarkers are altered by spaceflight Study on molecular biomarkers and frailty phenotypes in space Overbey et al., 2024. The Space Omics and Medical Atlas (SOMA) and international astronaut biobank An “integrated data and sample repository for clinical, cellular, and multi-omic research profiles” from a variety of space missionsSpace Omics and Medical Atlas (SOMA) website Corti et al., 2024. To boldly go where no microRNAs have gone before: spaceflight impact on risk for small-for-gestational-age infants Explores how miRNA signatures of “small-for-gestational-age” are impacted by the space environment Beheshti et al., 2013. Age and space irradiation modulate tumor progression: implications for carcinogenesis risk Some of Professor Beheshti’s early work studying connections between spaceflight and cancer progression. Kwaai Nonprofit "building a no-cost open source Personal AI assistant"

On this episode of Translating Proteomics, Parag and Andreas share their reflections on proteomics developments in 2025 largely inspired by their observations at the World HUPO 2025 conference in Toronto. Whether you agree, disagree, or simply want to share some of your own observations on proteomics, please post your thoughts in the comments. We look forward to even more exciting developments in 2026! Chapters00:00 - 00:35 – Intro 00:36 – 07:00 - Increased focus on applications of proteomics and less on method development Learn more about One Health from our conversation with Professor Jennifer Geddes-McAlister https://youtu.be/JFwvTdkb5bw 07:01 – 12:47 - Increase in people talking about the importance of proteoforms Learn more about proteoforms in our episode featuring proteoform pioneer Professor Neil Kelleher https://youtu.be/3pPuxVrMxpw 12:47 – 17:26 - An increase in multiomics studies 17:27 – 20:03 - A shift to larger scale proteomics studies For a great example of a multi-platform comparison study, check out Kirsher et al., 2025 https://www.nature.com/articles/s42004-025-01665-1 20:03 – 25:07 - Increased integration of AI into proteomics workflows For an example of how proteomics workflows can be modified with multiomic data, check out Suhre et al., 2025 https://www.nature.com/articles/s41588-025-02413-w 25:08 – 30:05 – Recognition of the need to assess quality across proteomics workflows 30:06 – 32:19 – Less of a focus on spatial proteomics this year than in past years 32:20 – 35: 13 - Parag and Andreas share their predictions for 2026 35:14 – End – Outro

On this episode of Translating Proteomics, Parag speaks with Professor Jennifer Geddes-McAlister from the University of Guelph. Professor Geddes-McAlister is an expert at using proteomics to study host-microbe interactions from a systems biology perspective. Her exciting work spans studies of pathogenic fungi all the way to engineering plants to produce pharmaceutics (so-called “molecular pharming"). On top of all that, Professor Geddes-McAlister also founded “Moms in Proteomics” to support and encourage an intentional focus on the inherently unique physical, emotional, and biological commitments of Mothers, and the ensuing balance required to excel within the diverse STEM fields encompassing Mass-Spectrometry-based proteomics. Dive into this episode to: Learn why it’s critical to study hosts, pathogens, and molecular pharming from a systems point of viewDiscover what Professor Geddes-McAlister is excited about for the upcoming Human Proteome Organization (HUPO) conferenceFind out what “Moms in Proteomics” has planned for HUPO Chapters00:00 - Intro 01:39 - Professor Geddes-McAlister's initial interest in host-microbe interactions 06:13 - Why it's important to study host-microbe interactions 08:10 - Pathogens vs helpful microbes 10:06 - Thinking about microbes through the lens of "One Health" 14:34 - Why Professor Geddes-McAlister works primarily in proteomics as opposed to other omes 19:44 - Professor Geddes-McAlister's favorite thing that she's learned from the proteome and couldn't learn from the other omes 24:56 - Molecular pharming 29:35 - The need for accessibility in proteomics 34:09 - The need for all-in-one workflows in proteomics 36:08 - HUPO 2025 39:56 - Moms in Proteomics 42:36 - The future of proteomics 43:59 - Outro ResourcesGeddes et al., 2015. Secretome profiling of Cryptococcus neoformans reveals regulation of a subset of virulence-associated proteins and potential biomarkers by protein kinase A https://pubmed.ncbi.nlm.nih.gov/26453029/ Some of Professor Geddes-McAlister’s early work using proteomics to study pathogenic fungi Prudhomme et al., 2024. Bacterial growth-mediated systems remodelling of Nicotiana benthamiana defines unique signatures of target protein production in molecular pharming https://onlinelibrary.wiley.com/doi/10.1111/pbi.14342 Researchers from Professor Geddes-McAlister’s lab use multiomic techniques to discover factors impacting the production of a pharmaceutical in an engineered plant Woods et al., 2023. A One Health approach to overcoming fungal disease and antifungal resistance https://wires.onlinelibrary.wiley.com/doi/full/10.1002/wsbm.1610 Review on the importance of incorporating “One Health” principals into efforts to fight pathogenic fungi Moms in Proteomics website https://momsinproteomics.ca Learn all about the Moms in Proteomics initiative and its international community

On this episode of Translating Proteomics, Parag, Andreas, and special guest Don Kirkpatrick answer questions submitted by the Translating Proteomics community. They cover: Needs in plasma proteomicsHow proteomics impacts drug development – with special guest Don Kirkpatrick, Ph.D.!How lifestyle impacts the proteomeHow the Nautilus Proteome Analysis Platform is impacting tau and Alzheimer’s disease research ReferencesShome et al., 2022 - Serum autoantibodyome reveals that healthy individuals share common autoantibodies https://www.sciencedirect.com/science/article/pii/S2211124722006489 LaBaer Lab paper investigating autoantibody levels in plasma and their relationship to health. Sylman et al., 2018 - A Temporal Examination of Platelet Counts as a Predictor of Prognosis in Lung, Prostate, and Colon Cancer Patients https://www.nature.com/articles/s41598-018-25019-1 Mallick lab paper investigating temporal changes in platelets and their associations with cancer biology. Krönke et al., 2014 - Lenalidomide causes selective degradation of IKZF1 and IKZF3 in multiple myeloma cells https://www.science.org/doi/10.1126/science.1244851 Seminal paper describing selective protein degradation caused by lenalidomide. Fink and Ebert 2015 - The novel mechanism of lenalidomide activity https://ashpublications.org/blood/article/126/21/2366/34644/The-novel-mechanism-of-lenalidomide-activity Review of research elucidating the mechanisms of lenalidomide activity Ndoja et al., 2025 - COP1 Deficiency in BRAFV600E Melanomas Confers Resistance to Inhibitors of the MAPK Pathway https://www.mdpi.com/2073-4409/14/13/975 Describe links between kinase inhibitor vemurafenib and changes in ETV transcription factor degradation Song et al., 2022 - RTK-Dependent Inducible Degradation of Mutant PI3Kα Drives GDC-0077 (Inavolisib) Efficacy https://aacrjournals.org/cancerdiscovery/article/12/1/204/675622/RTK-Dependent-Inducible-Degradation-of-Mutant-PI3K Use proteomics to discover that inavolisib acts through selective degradation of mutant PI3Kα Canon et al., 2019 - The clinical KRAS(G12C) inhibitor AMG 510 drives anti-tumour immunity https://www.nature.com/articles/s41586-019-1694-1 Covers the development of an inhibitor of KRAS mutant KRAS (G12C). Schneider et al., 2024 - Feeding gut microbes to nourish the brain: unravelling the diet-microbiota-gut-brain axis https://www.nature.com/articles/s42255-024-01108-6 Review on the gut-brain axis Webpage for Johanna Lampe’s Lab at Fred Hutch Cancer Center https://www.fredhutch.org/en/faculty-lab-directory/lampe-johanna.html Guseh et al., 2020 - An expanded repertoire of intensity-dependent exercise-responsive plasma proteins tied to loci of human disease risk https://www.nature.com/articles/s41598-020-67669-0 Work investigating the relationship between exercise, the plasma proteome, and health Human Proteome Organization (HUPO) webpage with resources focused on proteomics in space https://hupo.org/Human-Proteomics-at-Extreme-Conditions Joly et al., 2025 - Large-scale single-molecule analysis of tau proteoforms https://doi.org/10.1101/2025.06.26.660445 Nautilus preprint using Iterative Mapping of proteoforms to measure tau proteoforms in Alzheimer’s disease and related dementias samples.

On this episode of Translating Proteomics, host Parag Mallick discusses spatial proteomics with special guest Fiona Ginty Ph.D. Fiona is a Senior Principal Scientist in Precision Diagnostics at the GE Healthcare Technology & Innovation Center. She is a leader in the development of spatial proteomics technologies and their application in precision diagnostics and medicine. Their discussion covers: ·      How Fiona began working in spatial proteomics ·      Why spatial biology is important ·      What the future holds for spatial biology Chapters:00:00 – Introduction 01:54 – Fiona’s journey to biology 05:26 – Fiona’s transition to tool development 07:20 – Working at GE Research 11:26 – Identifying the importance of spatial biology 14:43 – How Cell DIVETM works 18:25 – The importance of single cell 23:01 - When Fiona realized the technology worked 28:04 – Spatial biology projects Fiona is excited about 30:08 – Fiona’s role in HuBMAP 36:50 – Learnings from HuBMAP so far 38:35 – The future of spatial proteomics in the clinic 46:56 – Current limits on spatial proteomics 49:56 – Current and future uses of AI in spatial proteomics 53:30 – The most exciting thing Fiona learned in her spatial proteomics journey 56:08 – Outro Resources:Method of the Year 2024: Spatial Proteomics Paper covering the spatial proteomics technology Fiona worked on at GE Healthcare Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissue HubMAP – Human BioMolecular Atlas Program Human Tumor Atlas Network Cell DIVE Multiplex Imaging Solution Papers discussing what makes colorectal cancer cells undergo apoptosis in response to chemotherapy An atlas of inter- and intra-tumor heterogeneity of apoptosis competency in colorectal cancer tissue at single-cell resolutionIntegrated multiplex analysis of cell death regulators in stage II colorectal cancer suggests patients with ‘persister’ cell profiles fail to benefit from adjuvant chemotherapy Paper discussing how the distance between tumor cells and cytotoxic t-cells correlates to caspase level Spatial effects of infiltrating T cells on neighbouring cancer cells and prognosis in stage III CRC patients - Azimi - 2024 - The Journal of Pathology - Wiley Online Library Paper showing it takes 3 hits from cytotoxic t-cells to kill cancer cells Cytotoxic T cells are able to efficiently eliminate cancer cells by additive cytotoxicity | Nature Communications Paper focused on generating new pathology image patches using AI Predicting Breast Cancer Events in Ductal Carcinoma In Situ (DCIS) Using Generative Adversarial Network Augmented Deep Learning Model - PubMed AcknowledgementsDr. Ginty wanted to acknowledge the many people she’s worked with on Cell DIVE and as part of HuBMAP. She stresses that these are highly collaborative projects, and just some of the many great team members she's worked with are listed below. Cell DIVE: Anup Sood, Sean Dinn, Yunxia Sui, Sanghee Cho, John Graf , Kathleen Bove, Musodiq Bello, Sudeshna Adak, Michael Lazare, Anirban Bhaduri, Thomas Treynor, Dileep Vangasseri, Alberto Santamaria-Pang, Maureen Bresnahan, Micheal Gerdes, Megan Rothman, Colin McCullough, Chris Sevinsky, Liz McDonough, Christine Surrette, Max Seel, Alex Corwin, Bob Filkins, Kevin Kenny, Brion Sarachan, Mike Montalto, Christoph Hergersberg, John Burczak, Jens Rittscher, Steve Zingelewicz, Dr. Sunil Badve (Emory U), Dr. Yesim Gokmen Polar (Emory U), Eli Lilly collaborators HuBMAP: Lou Falo (U. Pitt), Arivarasan Karunamurthy (U. Pitt), John Hickey (Duke), Chenchen Zhu (Stanford), Ioannis Vlachos (BIDMC), Liz McDonough (GE HealthCare Technology and Innovation Center [HTIC]), Sammi Abate (GE HealthCare Technology and Innovation Center [HTIC]), Soumya Ghose (GE HealthCare Technology and Innovation Center [HTIC]), Christine Surrette (GE HealthCare Technology and Innovation Center [HTIC]), Dr. Katy Borner (Indiana U)

On this special episode of Translating Proteomics, Parag and Andreas break down the basics of proteomics — perfect for anyone with a background in molecular biology looking to get started in the field. Seasoned experts: We hope you can share this episode as a teaching tool or to inspire others to explore proteomics. Parag and Andreas cover the following questions in the episode, and links to additional Nautilus resources can be found below each question. What is proteomics? Blog post – What is proteomics? Techniques, applications, and methods What are key questions proteomics can answer? Blog category – Applications of proteomics Why is it important to measure the proteome? FAQ on the Nautilus Resources pageBlog post – Genomics vs. proteomics: Two complementary perspectives on life What can and can't you do with proteomics? Translating Proteomics episode – Plasma Proteomics: The Dream and the NightmareLearn how the Nautilus Platform is designed to enable comprehensive broadscale proteomics and targeted proteoform studies What are key proteomics methods and techniques? Blog series – Traditional protein analysis methodsBlog series – Next-generation proteomics technologies What are the major pitfalls when doing proteomics? What are the challenges in proteomic data analysis? Translating Proteomics episode – Biology in Space and TimeBlog post – What is multiomics? What are people excited about in proteomics? Translating Proteomics episode – Poised for a Proteomics BreakthroughTranslating Proteomics episode - US HUPO 2025 – Key Takeaways, Trends, and Future Directions for ProteomicsTranslating Proteomics episode – Protein Function 201 with Kathryn LilleyBlog post – What is single-molecule proteomics?

If you listened to our episode focused on science communication featuring proteomics leaders Ben Orsburn Ph.D. and Ben Neely Ph.D., then you've already heard about their excellent podcast, The Proteomics Show. On The Proteomics Show, they interview researchers in the proteomics community to learn about their motivations, their backstories, and their work. Today, we're sharing an episode of The Proteomics Show where the Bens interview Translating Proteomics host Parag Mallick. Check it out to learn about Parag's journey to proteomics, his efforts advocating for open data sharing, and his work as a professional magician. After listening, be sure to check out more episodes of The Proteomics Show on their feed where you'll find over 70 interviews with many, many interesting people in the proteomics community. Find their feed here: https://us-hupo.org/Podcasts

On this episode of Translating Proteomics, hosts Parag Mallick and Andreas Huhmer discuss their recent experience at the 2025 US Human Proteome Organization conference or US HUPO. Their conversation covers: ·      The rising use of multiple proteomics platforms ·      Advances in multiomics And ·      What they hope to see at the next US HUPO Chapters: 00:00 – Introduction 01:47 – Things Parag and Andreas were most excited about going into US HUPO 06:19 - Trends Parag observed at US HUPO ·      A bifurcation between studies that focused on measuring many proteins and those that focused on a specific biological process ·      People increasingly using multiomics to wholistically understanding biology as opposed to a means of comparing the different omes ·      A shift to researchers using multiple proteomics platforms 11:44 – The rising prominence of proteoforms at US HUPO 15:50 – The future of proteomics as informed by US HUPO 18:06 – What Parag and Andreas hope to see at the next US HUPO 19:57 - Outro

On this episode of Translating Proteomics, host Parag Mallick speaks with special guests doctors Ben Neely and Ben Orsburn, leaders in the proteomics community and hosts of “The Proteomics Show” podcast. Their insightful conversation focuses on the role of communication in proteomics and covers: ·      Impactful things they’ve learned while hosting The Proteomics Show ·      How their communication efforts have changed their research ·      Barriers to proteomics becoming more popular in the life sciences and in the broader public Chapters:00:00 – 03:04 – Intro 03:04 – 07:23 – Why the Bens created "The Proteomics Show" 07:23 – 10:42 – Ways the proteomics show has impacted the Bens’ research 10:42 – 16:44 – Every scientist is interesting! 16:44 – 20:36 – Ways the Bens' communication efforts have changed their research 20:36 – 25:08 – Trends in proteomics 25:08 – 35:34 – Barriers to communication between the proteomics community and others in the life science 34:34-48:34 - Barriers to communication between the proteomics community and the broader public 48:34 - End - Outro ResourcesThe Proteomics Show - Ben Neely and Ben Orsburn host this podcast sponsored by the Human Proteomics Organization. On it, they interview proteomics researchers in a “fireside chat” format. Their conversations cover not just the latest research, but also their guests’ motivations, hobbies, and histories. Definitely check it out!News in Proteomics Research - Ben Orsburn's blog on the latest developments in proteomics.Proteomics, the next truly massive investment opportunity - Forbes article on the potential of proteomics.The Magic School Bus Rides Again - Recently rebooted version of The Magic School Bus. Will we see an episode featuring proteomics?

On this episode of Translating Proteomics, hosts Parag Mallick and Andreas Huhmer discuss the many ways proteomics can impact our interactions with food. Some of the topics they touch upon in this wide-ranging conversation include: ·      Proteomics and food quality ·      Proteomics and food safety ·      Developing new kinds of food with proteomics Chapters00:00 – 01:23 – Introduction 01:23 – 03:27 – Proteomics and alcohol fermentation 03:27 – 05:24 – Food properties and their relationship with molecular composition 05:24 – 07: 42 – How can we use proteoforms to improve food quality? 07:42 – 11:49 – Proteomics to aid plant and animal breeding 11:49 – 14:35 – Proteomics, Food Safety, and Food Security 14:35 – 17:05 – Proteomics and food authenticity 17:05 – 20:36 – Proteomics and terroir 20:36 – 22:48 – Proteomics, the microbiome, and health 22:48 – 24:29 – A fun party trick 24:29 – 30:24 – Creating new foods and flavors 30:24 – 34:33 – Designing food for space 34:33 – End – Outro ResourcesThe post-translational modification landscape of commercial beers (Kerr et al. 2021) ·      Paper looking at the ways post-translational modification differ between different beers and how protein content relates to the properties of foam Heat shock and structural proteins associated with meat tenderness in Nellore beef cattle, a Bos indicus breed (Carvalho et al. 2024) ·      Paper looking at the relationship between proteins and meat tenderness Comprehensive proteome analysis of bread dicphering the allergenic potential of bread wheat, spelt and rye (Zimmermann et al. 2021) ·      Research measuring the levels of allergens in different kinds of bread Differential proteomic analysis by SWATH-MS unravels the most dominant mechanisms underlying yeast adaptation to non-optimal temperatures under anaerobic conditions ·      Study using proteomics to reveal how yeast adapt to growth at different temperatures

On this episode of Translating Proteomics, co-hosts Parag Mallick and Andreas Huhmer of Nautilus Biotechnology discuss the reproducibility crisis in biology and specifically focus on how we can enhance reproducibility in computational proteomics. Key topics they cover include: •               What the reproducibility crisis is •               Factors that make it difficult to replicate multiomics research •               Steps we can take to make biology research more reproducible Chapters  00:00 – 01:20 – Introduction 01:20– 03:10 – What is reproducibility in research and why is it important? 03:10 – 05:42 – Recent work from the Mallick Lab focused on computational proteomics reproducibility 05:42 – 09:32 – Ways to help improve reproducibility in computational proteomics – More detailed documentation, moving beyond papers as our main form of documentation, and ensuring computational workflows are available, 09:32 – 11:30 – Why Parag got interested reproducibility – Attempts to build AI layers on top of current workflows 11:30 – 14:00 – The need to create repositories of analytical workflows codified in a structured way that AI can learn from 14:00 – 15:24 – A role for dedicated data curators 15:24 – 18:31 – Moving beyond the idea of study endpoints and recognizing data as part of a larger whole 18:31 – 21:32 – How does AI fit into the continuous analysis and incorporation of new datasets 21:32 – 23:36 – The role of AI in helping researchers design experiments 23:36 – 27:25 – Three things we can do today to increase the reproducibility of computational proteomics experiments: ·      Be clear about the stated hypothesis ·      Document analyses through workflow engines and containerized workflows ·      Advocate for support for funding for reproducibility and reproducibility tools 27:25 – End – Outro Resources Parag’s Gilbert S. Omenn Computational Proteomics Award Lecture o   In this lecture, Parag describes his vision for a more reproducible future in proteomics Nature Special on “Challenges in irreproducible research” o   A list of articles and perspective pieces discussing the “reproducibility crisis” in research Why Most Published Research Findings Are False (Ioannidis 2005) o   Article outlining many of the issues that make it difficult to reproduce research findings Reproducibility Project: Cancer Biology o   eLife initiative investigating reproducibility in preclinical cancer research Center for Open Science Preregistration Initiative o   Resources for preregistering a hypothesis as part of a study National Institute of Standards and Technology (NIST) o   US government agency that aims to be “the world’s leader in creating critical measurement solutions and promoting equitable standards.” MSstats o   Open source software for mass spec data analysis from Bioconductor National Institute of General Medical Sciences o   US government agency focused on “basic research that increases understanding of biological processes and lays the foundation for advances in disease diagnosis, treatment, and prevention.” Chan Zuckerberg Initiative – Essential Open Source Software for Science o   CZI program supporting “software maintenance, growth, development, and community engagement for critical open source tools.”

On this episode of Translating Proteomics, co-hosts Parag Mallick and Andreas Huhmer of Nautilus Biotechnology discuss how clinical researchers can leverage proteomics for drug development. Some of the themes covered in this episode include: ·      Proteomics and pre-clinical models ·      How proteomics can drive patient selection ·      Choosing the right end points in clinical trials Chapters 00:00 – 01:06 – Introduction 01:06 – 06:51 – Proteomics in pre-clinical studies 06:51 – 11:40 – The importance of choosing the right model for preclinical work 11:40 – 17:10 – How proteomics is used in Phase I/II clinical trials 17:10 – 19:29 – Proteomics tools in patient selection 19:29 – 24:33 – Useful information that we get from proteomics that we can’t get from genomics or transcriptomics 24:33 – 28:14 – Proteomics in Phase III clinical trials and picking the best indications of drug efficacy 28:14 – 29:19 - Understanding why clinical trials fail 29:19 – End - Outro   Resources The National Cancer Institute’s webpage covering how clinical trials workPreprint on the miBrain model - An example of a new in vitro brain modelGeary et al., 2021 - Discovery and Evaluation of Protein Biomarkers as a Signature of Wellness in Late-Stage Cancer Patients in Early Phase Clinical TrialsWasko et al., 2024 - Tumour-selective activity of RAS-GTP inhibition in pancreatic cancerThe NCI-MATCH trail: Lessons for precision oncology – Report on a large-scale trial using genomic biomarkers to match cancer patients to treatmentsTumour-selective activity of RAS-GTP inhibition in pancreatic cancer – Study using proteomics to understand mechanisms of resistance to a cancer drug