Transforming Your Fear In Meetings

During the summer after my junior year of undergrad, I worked as a marketing intern for a health education nonprofit. I was a biology major, but by this time I knew I wanted to pursue a career in science writing, and this internship was my first real-world experience. It was an amazing summer, and by the time I walked into my exit interview, I was confident that my supervisor was pleased with my performance. However, she shared a piece of feedback that caught me off guard.

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Breaking the Bias: Addressing the STEM Gender Gap

Within the broader March-long observance of Women’s History Month, March 8th marks the annual International Women’s Day. It’s a day of both celebration and reflection, dedicated not only to honoring the accomplishments and contributions that women bring to the table, but also to critical analysis of the areas where gender inequality still persists. 

Although we’ve made big strides in the last few decades, women are still significantly under-represented in many fields of science, technology, engineering and mathematics (STEM). Women make up nearly 50% of the US workforce, but less than 30% of that number are STEM workers, and with women comprising less than 30% of the world’s researchers

In honor of this year’s theme for International Women’s Day, Break the Bias, and as a woman in science myself, I was interested in exploring the challenges of anyone who identifies and lives as a woman in science, and the key factors that continue to perpetuate the gender gap in STEM fields. I invited eight of my female colleagues at Promega—diverse in roles, age, educational background, ethnicity, and experience—to sit down with me (virtually) to learn more about them and their experiences as women in STEM.

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Using Structural Computation Models to Predict Productive PROTAC Ternary Complexes

With use and time things wear out. Tires get worn on a car, and you have the old tires removed, recycled, and replaced with new ones. Sometimes a part or piece of something isn’t made properly. For instance, if you are assembling a piece of furniture and you find a screw with no threads, you throw it out and get a screw that was made properly. The same thing holds true for cells. Components wear out (like tires) or get improperly made (a screw with no threads), or they simply have a limited lifetime so that they are available in the cell only when needed. These used and worn components need to be removed from the cell. One system that allows cells to recycle components and remove old or improperly functioning proteins is the Ubiquitin-Proteasome System (UPS).  The UPS system relies on a series of small peptide tags, ubiquitin, to mark a protein for degradation. Researchers are now harnessing the UPS to target aberrant proteins in diseased cells through PROteolysis TArgeting Chimeras or PROTACs. PROTACs hold promise as highly efficacious therapeutics that can be directed to eliminate only a single protein. To take full advantage of the power of PROTACs, researchers need to understand the molecular underpinnings that are responsible for successful protein degradation. Here we review a paper that seeks to develop a computer model for predicting whether PROTAC ternary complex formation leads to ubiquitination and successful degradation of a target protein.

Diagram of ubiquitination of a protein. ThePROTAC ternary complex is formed the E2/E3 complex, PROTAC and target protein are bound simultaneously
Proteins are targeted for degradation by the proteasome. A small chain of ubiquitin peptides (Ub) is added to available lysine residues of the target protein through the actions of three enzymes: E1, ubiquitin-activating enzyme; E2, ubiquitin-conjugating enzyme; and E3 ubiquitin ligase. After the addition of the Ub chain, the proteasome is recruited and the protein degraded.

Addressing the Intractable Target

Research to understand diseases including cancers, neurodegeneration, and auto-immune conditions has revealed that in many disease states, affected cells produce growth factors or enzymes that are constitutively active (“always on”). These proteins are targets for small molecule inhibitors that bind specific sites preventing the constitutive activity or signaling. More recently, biologics, or protein-based therapeutics, including monoclonal antibodies (mAb), have been developed that can bind and block inappropriate signaling pathways, especially those that allow cancer cells to escape immune system surveillance.

Unfortunately, up to 85% of targets have proven intractable to small molecule inhibitors, or they are not suitable for a biologics approach. Oftentimes, the target protein doesn’t have a great place to bind a small molecule, so even though inhibitors might exist they cannot bind well enough to be effective. Or, as in the case of many cancers, the diseased cell manages to overcome the effect of the inhibitor by overexpressing the target. Still other aberrant proteins associated with diseases haven’t gained function to cause a disease; they have instead, lost function, so designing an inhibitor of the protein is not a workable strategy.  Enter the PROTAC.

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Superior Support to Automate and Scale-Up Your Workflows with Ease

Automating a workflow can be a tedious and challenging process that requires lots of time and resources. A helping hand can make all the difference, as it did for Stephanie Dormand, Molecular Supervisor at UniPath Women’s Health, a diagnostics lab located in Denver, Colorado. 

See how Promega Field Service Support staff helped one laboratory automate and scale-up sample processing to improve laboratory workflow. Promega Scientist at a liquid handler.

The women’s health molecular testing service at UniPath primarily relied on the tabletop Maxwell® RSC Instrument to conduct nucleic acid extractions using the Maxwell® Viral TNA Kit. As their testing needs grew, they required more throughput. Dormand worked with Promega Field Support Scientist Rick Grygiel to implement the Maxwell® HT Viral TNA Kit on the Tecan Fluent 780 liquid handler, raising their throughput from 16 to 96 samples per run. When COVID-19 struck, Dormand worked with Rick to quadruple their testing with the addition of another Fluent 780.

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Antibody Correlates of Protection for mRNA Vaccine

Identifying correlates of protection, or biological markers that correlate with a certain level of protection from disease helps public health experts assess vaccination performance. Picture of a COVID-19 vaccine vial.

In the rapidly shifting context of a pandemic, public health officials need a way to quickly assess how vaccinations perform in changing situations. One approach is to identify correlates of protection, or biological markers that correlate with a certain level of protection from disease. This tool is used to assess the design and formulation of annual influenza vaccines, as immune system markers that correlate with protection from flu can give developers a sense of how effective the vaccine might be for different population groups. Though they are not a replacement for rigorous clinical trials, correlates of protection can provide meaningful and predictive data for vaccine developers with smaller trial sizes and less time.

A study published in November 2021 indicated that levels of binding antibodies and neutralizing antibodies for the SARS-CoV-2 virus in blood serum are correlates of protection for Moderna, Inc.’s COVE phase 3 clinical trial of their mRNA COVID-19 vaccine.

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GPCRs and PROTACs: New Approaches for Designing More Effective Drug Candidates

NanoBRET target engagement assay

G protein-coupled receptors (GPCRs) comprise a large group of cell surface receptors, characterized by the unique structural property of crossing the cell membrane seven times. They respond to a diverse group of signaling molecules, such as peptides, neurotransmitters, cytokines, hormones and other small molecules (1). Upon activation, GPCRs interact with GTP-binding (G) proteins and arrestins to regulate a wide variety of signaling pathways. This broad range of functions makes GPCRs attractive targets for drug discovery. The importance of GPCR research was highlighted in 2012, with the Nobel Prize in chemistry being awarded to Robert Lefkowitz and Brian Kobilka “for studies of G-protein–coupled receptors”.

Based on structure and function, GPCRs are categorized into six classes, A–F. The class A GPCRs, or rhodopsin-like receptors, have been studied extensively due to their association with many types of diseases (2). Within the class A GPCRs is a group that share a highly conserved structural motif (3) and respond to chemokines—small “chemotactic cytokines” that stimulate cell migration, especially that of white blood cells (4). A subfamily of class A GPCRs respond to chemokines that have two cysteine residues near the N-terminus, known as CC chemokines. GPCRs activated by CC chemokines are called CC chemokine receptors or CCRs, and these interactions have been implicated in both pro- and anti-cancer pathways (5).

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Monitoring Cellular Metabolism for NAFLD/NASH Liver Disease Research

In this blog, Dr. Jolanta Vidugiriene, Senior Research Scientist at Promega Corporation, discusses tools for studying metabolism in NAFLD/NASH research.

Dr. Jolanta Vidugiriene, Senior Research Scientist at Promega Corporation, discusses tools for studying metabolism in NAFLD/NASH research

What is nonalcoholic fatty liver disease (NAFLD)?

NAFLD is not a simple disease, it is an umbrella term for a range of liver conditions. The main defining characteristic of NAFLD is fat accumulation in the liver, called steatosis. In about 20% of people, steatosis is accompanied by inflammation, which is a more severe form of NAFLD called NASH (nonalcoholic steatohepatitis). NASH can progress to more advanced conditions like liver cirrhosis and liver failure. Most of the time, NAFLD is associated with underlying conditions—it is closely related to metabolic dysfunction, obesity, and type 2 diabetes. To better reflect the disease pathology, there has been a lot of discussion in the field recently to rename NAFLD to MAFLD, for metabolic associated fatty liver disease. Even though NAFLD has been studied for many years, the causes and progression of the disease are still not well understood. There are no FDA-approved diagnostic tools or treatments for it yet.

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Can We Prevent the Next Pandemic?

Before the respiratory virus SARS-CoV-2 ever emerged, Tom Friedrich was already studying how viruses evolve to cause pandemics. His PhD training focused on how HIV adapts to escape detection by the immune system. Since opening his lab at the University of Wisconsin—Madison in 2008, he’s studied how viruses like influenza and Zika overcome evolutionary barriers to spread and cause disease. For nearly two years, he’s been analyzing viral sequencing data generated from positive COVID-19 test samples around the state of Wisconsin.

Thomas Friedrich, professor of pathobiological sciences in the School of Veterinary Medicine. Photo by Jeff Miller / UW-Madison, provided by Thomas Friedrich.

As the COVID-19 pandemic persists, Tom continues to make important contributions to both SARS-CoV-2 research and the relevant public health response. However, his experiences have led him to ask an even bigger question: How can we prepare for the next pandemic while still battling the current one?

“What has characterized our responses to these types of disease outbreaks in the past is sort of a boom and bust cycle,” Tom says. “We spin up a massive response that often tends to get going just as the thing itself is petering out. Then interest and funding wane so that we’re not really left with any sustainable infrastructure. But with Ebola, Zika and now COVID-19 in a pretty rapid cadence, I think people are finally getting the idea that we need to have a more sustainable infrastructure that is not totally specific to the particular disease that’s causing this outbreak today.”

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African American Scientists: Celebrating Black History Month

In the United States, the month of February is Black History Month. African American Scientists have contributed extensively to the worldwide progress of science and technology. Below we highlight a few of the African American scientists who have made their mark in science history and helped change our world for the better.

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New Study Suggests Long Mononucleotide Repeat Markers Offer Advantages for Detecting Microsatellite Instability in Multiple Cancers

A new study, published in the Journal of Molecular Diagnostics (1), highlights the potential of using long mononucleotide repeat (LMR) markers for characterizing microsatellite instability (MSI) in several tumor types. The paper is a result of a collaborative effort between researchers from Johns Hopkins University and Promega to evaluate the performance of a panel of novel LMR markers for determining MSI status of colorectal, endometrial and prostate tumor samples.

Microsatellite instability (MSI) is the accumulation of insertion or deletion errors at microsatellites, which are short tandem repeats of DNA sequences found throughout the genome. MSI in cancerous cells is the result of a functional deficiency within one or more major DNA mismatch repair proteins (dMMR). PCR-based MSI testing is a commonly used method that can help understand a tumor’s genomic profile as it relates to MMR protein function.

Historically, MSI has been a biomarker associated with Lynch syndrome, the hereditary predisposition to colorectal and certain other cancers. In recent years, research interest in MSI has exploded, driven by the discovery that its presence in tumor tissue can be predictive of a positive response to anti-PD-1 immunotherapies (2,3).

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