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Measuring Cell Squishiness Could Aid Cancer Drug Discovery

UCLA's Amy Rowat, Ph.D., is investigating the texture and squishiness of cells in our body, which can have a huge impact on treatments for cancer and genetic disorders. She explains the mechanics of a cell and describes the teeny, tiny instruments she's create

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UCLA's Amy Rowat, Ph.D., is investigating the texture and squishiness of cells in our body, which can have a huge impact on treatments for cancer and genetic disorders. She explains the mechanics of a cell and describes the teeny, tiny instruments she's created to study them.

In this modern genomic age, it would almost seem archaic to devise a screening method that relies on changes in cellular architecture that occur when a cell turns cancerous and not on molecular mutations. However, sometimes the simplest and most direct solutions provide the best results.

Since scientists previously established that many types of cancer cells are spongier and more pliable than normal, healthy cells, researchers at UCLA have developed a screening method that utilizes this information to classify different types of cancer cells and that could ultimately lead to better treatments for cancer, diabetes, malaria, and a host of other diseases.

“We want to screen cells based on their squishiness or stiffness,” explained senior author Amy Rowat, Ph.D., assistant professor and a member of UCLA's Jonsson Comprehensive Cancer Center. “We created a technology to probe the deformability of hundreds of cell samples at the same time, so we can identify compounds that make the cells stiffer. Our hope is that we can identify new compounds that can help to prevent the spread of cancer.”

Dr. Rowat and her team devised a method that begins by placing a mixture of cells and liquid on a porous membrane and applying air pressure to force the mixture down through tiny pores that have a smaller circumference than the cells. Stiffer cells block the pores so that not much liquid can filter through—however, for squishier cell types like cancer, more of the cell-and-liquid mixture passes through the membrane. The UCLA team calls their approach parallel microfiltration method, or PMF. This method allows investigators to assay many different small molecules at once by measuring the filtration of fluid into individual compartments.

The findings from this study were published recently in Scientific Reports through an article entitled “Screening cell mechanotype by parallel microfiltration.”

Dr. Rowat’s team discovered that drug-resistant human ovarian cancer cells are softer than their drug-sensitive counterparts and that more invasive cancer cells are softer than less-invasive ones.

“Inducing epithelial-to-mesenchymal transition (EMT) in human ovarian cancer cells by overexpression of key transcription factors (Snail, Slug, Zeb1) or by acquiring drug resistance produces a similar increase in deformability,” the authors stated. “Mechanistically, we show that EMT-mediated changes in epithelial (loss of E-Cadherin) and mesenchymal markers (vimentin induction) correlate with altered mechanotype. Our results demonstrate a method to screen cell mechanotype that has the potential for broader clinical application.”

In future studies, The UCLA researchers hope to establish whether squishier cancer cells are in fact more harmful than stiffer cancer cells and whether their pliability can be reversed. Dr. Rowat added that “it's easy to imagine softer cells can spread more easily through the body to invade distant tissues, but this is still a hypothesis.”

Dr. Rowat and her team were excited by their findings and hope to fine tune their method for expansion into other researcher disciplines. Moreover, parallel microfiltration’s broader applications could include the ability to screen molecules that can alter particular genes and protein levels inside a cell, which could be useful for treating a variety of other diseases.

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Related questions

01How stable is the antibody?

A crucial question often addressed during preclinical development focuses on the in vivo stability of therapeutic antibodies. Increasing the half-life of a therapeutic antibody has several benefits ranging from higher treatment efficacy to increased advantages for the patients who will have a fewer number of therapy sessions and a reduced cost. Given these compelling benefits, following the identification of therapeutic antibodies with the desired specificity, developers usually subject them to a refinement step to increase their stability. This process is often hindered by the lack of reliable experimental tools to predict the half-life of antibodies in patients. The major hurdle of using mouse models to predict antibody stability in the serum lies in the way immunoglobulin proteins are processed by the organism. In mammals, most proteins circulating in the serum undergo constant uptake by endothelial cells and are routed through the endosomes to the lysosomal compartment for degradation. In the endosomes, immunoglobulin G (IgG) proteins are recognized and bound by a transmembrane protein, called the neonatal Fc receptor (FcRn), which mediates their recycling to the plasma membrane and subsequent release back into the serum. As a result, the half-life of IgGs are significantly extended by this mechanism. Since most therapeutic antibodies belong to the IgG class, this recycling system is very relevant for their relative stability in the body. Remarkably, the relative affinity between IgGs and FcRn is extremely disparate between different species, with the mouse receptor showing a much higher affinity than its human counterpart.

Source: www.genengnews.com ↗
02Undruggable or unscreenable?

Another obstacle to discovering new PPI inhibitors is the lack of libraries designed to hunt for them, points out Philippe Roche, PhD, senior scientist at the Integrative Structural and Chemical Biology team at the Cancer Research Center of Marseilles, France. “If you screen PPIs using libraries that were designed for kinases or GPCRs, that’s why you don’t get a lot of good results,” he says. To that end, his group began assembling a library focused on orthosteric inhibitors of PPIs. The result was 2P2Idb, a hand-curated, structural database cataloguing orthosteric inhibitors of PPIs for which the interface had been 3D characterized. From analyzing these known PPI inhibitors, and what structures they had in common, Roche and his colleagues developed a model to predict whether compounds would likely inhibit PPIs. Using this method, 2P2Idb creates an enriched screening library that dramatically increases the hit rate compared to standard libraries. Having proven their success with a small library of 1600 compounds, they are in the process of expanding the library to 10,000 compounds. Once that’s published, “the idea is to make this library available to labs around the world,” Roche says. “We will provide the library free of charge for people to be able to screen PPI targets.”

Source: www.genengnews.com ↗
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Peptide Therapy Guide Editorial Team

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