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Michael Angelo
@MikeAngeloLab
Pathology and computational biology through engineering and applied physics
166 Following 2K Followers 490 Posts
Latest posts 5
Glad to see this one out! Thank you @parkerici and all our collaborators for supporting this work.
Thrilled to share that our paper is out in @Cancer_Cell: We apply spatial proteomics, transcriptomics, and glycomics to define tumor antigens, TME organization, and predictors of grade and survival.View quoted post on X
cell.com/cancer-cell/ab…
I love this paper.
What limits a cell's size?
One factor (and I'll explore others in an upcoming essay) is its surface area-to-volume ratio. A semi-spherical cell's internal volume grows proportionally to the cube of its radius, and its surface area grows proportionally to the square of that radius. A cell’s volume thus grows much more swiftly than its surface area.
This ratio has serious consequences for cellular survival, though. The cell’s membrane funnels nutrients into the cell and secretes waste. So if the interior grows too large relative to the cell membrane, the cell’s metabolic processes slow to a crawl.
A new study reveals that some mammalian cells have evolved a mechanism to keep their surface area-to-volume ratio CONSTANT even as the cell grows. They do this by folding their plasma membranes hundreds of times to increase *effective* surface area, thus helping them maintain high levels of nutrient uptake.
There are other ways to get around this limit, too. Case in point: a giant bacterium called Thiomargarita magnifica can exceed one centimeter in diameter, so large that it is visible by the naked eye. It does so by filling between 65-80 percent of its internal volume with an empty vacuole. In other words, it pushes most of its “working” molecules to the cell periphery, thus shortening diffusion distances.
All this, and much more, in a forthcoming essay for @AsimovPress.View quoted post on X
Also! In collaboration with @parkerici, we have created a web portal to make all this data as accessible as possible. You can run your own queries or download the dataset in its entirety: bruce.parkerici.org
🧵 (1/8) Today, @BenOberlton and I are excited to share the preprint of our work on: A comprehensive multi-omic study of human gliomas, spanning diagnosis, treatment, and recurrence. We address the longstanding challenge of developing effective therapies for gliomas, which have shown limited response to immunotherapy and targeted treatments compared to other malignancies. #GliomaResearch #NeuroOncology #CancerImmunotherapy biorxiv.org/content/10.110…View quoted post on X
Preprint of our multicenter study of human gliomas is out! Big thank you to @parkerici @CancerResearch @ACGTFoundation for supporting this work.
🧵 (1/8) Today, @BenOberlton and I are excited to share the preprint of our work on: A comprehensive multi-omic study of human gliomas, spanning diagnosis, treatment, and recurrence. We address the longstanding challenge of developing effective therapies for gliomas, which have shown limited response to immunotherapy and targeted treatments compared to other malignancies. #GliomaResearch #NeuroOncology #CancerImmunotherapy biorxiv.org/content/10.110…View quoted post on X