Mendelspod Podcast

On Mendelspod, we’re always searching for scientists who are looking at biology in new ways. Sometimes that means a new technology. Sometimes it means asking entirely different questions. Erdinc Sezgin is bringing the tools of physics to biology.
Sezgin is a group leader at the Max Planck Institute of Molecular Cell Biology and Genetics, where he heads the Membrane Biophysics Group. His research focuses on one of the most familiar yet least understood structures in biology: the cell membrane.
In this conversation from April, Sezgin explains why the membrane isn’t a smooth sea of lipids, but a dynamic landscape of tiny molecular neighborhoods that constantly assemble, disappear, and reorganize. We discuss how he is using the tools of physics to better understand the membrane’s inner and outer lipid layers, each with distinct electrical properties.
Sezgin also talks about his collaboration with Pixelgen Technologies, where Molecular Pixelation was used to study how changes in membrane charge reshape the cell surface. By knocking out a lipid-regulating complex, Sezgin and his colleagues showed that living cells can adopt surface features that alter immune recognition and may help explain how cancer cells evade destruction.
It’s a reminder that major biological insights often arrive alongside new tools that make previously hidden phenomena measurable. Sezgin’s work is also a broader comment on scientific boundaries. Biology is not separate from physics or chemistry, but an expression of them in living systems.
“Cells don’t have physics, chemistry, biology... It is life,” he says.


This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mendelspod.com/subscribe

One of the biggest technology shifts we saw in biology over the past year came from the young company, Cellanome. Instead of relying only on static single-cell snapshots, the Cellanome platform enables longitudinal observation of live cells.
In this conversation, Pier Federico Gherardini, VP of Computational Biology at Cellanome, joins Matthew Spitzer of UCSF, whose lab is putting the Cellanome platform to work in cancer immunology.
The new CellCage technology allows researchers to follow individual cells and their interactions over time, then pair that behavior with transcriptomic and other molecular readouts. As Gherardini explains, this creates “a new data type” that connects functional behavior directly to molecular biology.
For Spitzer, the breakthrough is linking phenotype and function in the same individual cell. His lab can watch dendritic cells activate T cells, or T cells interact with tumor cells, and then ask what was molecularly different about the cells that actually performed the function.
“Now we have measured the function of the cell and the phenotype for the same exact individual cell,” Spitzer says.
The result is a new way to study cell biology that could have implications for cancer immunology, cell therapy, target discovery, and functional screening.


This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mendelspod.com/subscribe

Acute leukemia patients often wait days or even weeks for the full battery of molecular tests needed to guide treatment decisions. Dr. Parth Shah from Dartmouth believes long read sequencing can dramatically shorten that timeline. In this episode, Shah joins Agilent's Rita Shaknovich and Oxford Nanopore's Claire Attwooll to discuss some details of how long reads are beginning to move from research applications into routine clinical testing.
Along the way, we explore the role of targeted enrichment, quality control, automation, and informatics in making these workflows practical for real-world laboratories.
For Shah, the field has reached an inflection point. After more than a decade of development, he argues that long reads are finally positioned to make the leap into clinical genomics. “As we ask more complex questions of human biology, long read is probably going to be the best ammunition that we have,” he says. His team at Dartmouth has already demonstrated the potential in acute myeloid leukemia, where a long-read workflow can now generate a comprehensive molecular profile within 24 hours rather than the weeks often required by conventional testing.
Shaknovich emphasizes that the opportunity is not simply generating more data, but generating better data. Long reads, she notes, can simultaneously capture mutations, structural variants, and epigenetic information, creating a richer biological picture than many existing approaches.
Attwooll highlights the flexibility that has emerged in the long-read ecosystem. Researchers can now choose among whole-genome sequencing, targeted enrichment, and Oxford Nanopore’s adaptive sampling approaches depending on the clinical question. She argues that the field is moving from a niche technology toward a mainstream platform for translational and clinical applications.
A recurring theme throughout the conversation is that no single technology will dominate every application. Whole-genome long reads, targeted enrichment, and adaptive approaches each have a role to play. As these methods move from research into routine testing, success will depend on more than sequencing alone. Agilent's established customer base, automation capabilities, quality-control tools, and experience supporting laboratories help provide the infrastructure needed to bring Oxford Nanopore's rapidly advancing long-read technology into practical clinical workflows.


This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mendelspod.com/subscribe

This is a free preview of a paid episode. To hear more, visit www.mendelspod.com

We’ve become remarkably good at reading cancer cells. Spatial biology enabled us to read them in context. Today we discuss a new Nature study suggesting that the tumor microenvironment—the immune cells, stromal cells, and surrounding biology that often determines whether a therapy succeeds or fails—can be measured from a simple blood draw, or liquid biopsy.
To do that we’re joined by Dr. Vincent Miller, an oncologist and former founding Chief Medical Officer of Foundation Medicine, and Dr. Mirna Jarosz, CEO of LiquidCell Dx.
The work introduces a striking idea. Rather than focusing only on mutations inside tumor cells, it identifies recurring spatial ecosystems within tumors and then shows that their signatures can be recovered from plasma cell-free DNA using methylation patterns. The implication is that liquid biopsy may soon reveal not only what mutations a tumor carries, but how its surrounding biology is organized before treatment ever begins.
But wait. How can blood possibly contain information about spatial organization inside a tumor? That answer unfolds gradually on today’s show, making the final portion of the discussion particularly rewarding.
As Jarosz explains, “We’ve condensed spatial biology to really critical and recurring biological programs. And then we can measure those in blood. So now we have that spatial insight of the tumor microenvironment in a liquid biopsy.”
For Miller, the significance is ultimately clinical. “The tumor is almost like an organ,” he says. “The ability to understand how that organ is constructed and what structures are near one another and how they’re functioning... is really the underpinning” of why patients with seemingly similar cancers can have dramatically different responses to therapy.
If this approach continues to hold up in larger clinical studies, liquid biopsy may expand from reading the genetics of cancer to reading its ecosystem. This shift could improve immunotherapy selection, longitudinal monitoring, and our understanding of cancer biology itself.

This is a free preview of a paid episode. To hear more, visit www.mendelspod.com

For the past decade, liquid biopsy has largely been defined by oncology. Tumors shed DNA carrying mutations and epigenetic changes which allows researchers to detect cancer and monitor response. With this physicians are increasingly able to guide treatment. But chronic diseases are different. There is no tumor. Biological signals are subtle and quite d…