Webinars

WebinarFinding the signal: Identifying reproducible biomarkers in high-plex proteomics

In biomarker discovery, the challenge is rarely a lack of data. Rather, it is knowing how to separate meaningful biological signal from technical distraction. This webinar focuses on how to use univariate analysis as a practical and powerful entry point for biomarker discovery in high-plex proteomics studies.

WebinarMore than the sum of its parts: How harmonized proteomic data reveals meaning across disparate clinical cohorts

Proteomics data generated across sites, time points, and workflows can be difficult to compare using standard normalization alone. This webinar shows how harmonization aligns datasets into a shared biological framework and reveals signals across studies and cohorts, highlighted through the GNPC’s analysis of 40,000 patient samples.

WebinarPathways to Digital Health: AI and Omics in Rheumatoid Arthritis

Explore how groundbreaking proteomic research is transforming our understanding of rheumatoid arthritis (RA). In this on-demand webinar, Allan Stensballe, PhD, shares new insights into the molecular landscape of RA-affected synovial tissue, revealing how autoantibodies and protein signatures may hold the key to more precise personalized therapies.

WebinarB Cell Repertoire in Determining Responses to Checkpoint Blockade in NSCLC

In this webinar, Gary Middleton, MD, PhD, and Akshay Patel, PhD, from the University of Birmingham explore the role of the B cell repertoire and autoantibodies in shaping responses to checkpoint blockade immunotherapy in non-small-cell lung cancer (NSCLC). They demonstrate how autoantibody profiling using the i-Ome™ Discovery protein microarray revealed biomarkers predictive of treatment efficacy and immune-related adverse events (irAEs), providing insights into biomarker development and personalized immunotherapy strategies.

WebinarSerum Autoantibodies Differentiate Rheumatoid Arthritis Subgroups

Patients with rheumatoid arthritis (RA) can be categorized as either anti-citrullinated protein antibody-positive (ACPA+) or‍ negative (ACPA-). In this webinar, Dr. Sung will present his research exploring a broad range of serological autoantibodies to uncover immunological differences between these RA subgroups using data from ACPA+ RA patients, ACPA- RA patients, and matched‍ healthy controls.

WebinarFrom discovery to clinical insights – the power of integrating proteomics and genomics data

The value of adding high-plex proteomics to existing genomics data and how proteogenomic approaches accelerate drug target discovery and repurposing. Watch this presentation given by Maik Pietzner, PhD, at ESHG 2024.

WebinarUsing Proteomics To Advance Understanding of Alzheimer’s Disease 

Limited understanding due to its complex pathophysiology and lack of definitive biomarkers currently constrains the diagnosis and treatment of Alzheimer’s disease (AD). But new research is uncovering dynamic brain changes during Alzheimer’s progression, offering potential therapeutic targets. This webinar explores how proteomics and systems biology can be integrated to elucidate AD pathology.

WebinarIdentifying Biomarkers for IBD Diagnosis and Management 

In this webinar, you’ll hear how proteomics technology can enhance the identification of biomarkers for the accurate diagnosis of Crohn’s disease and ulcerative colitis, as well as the identification of biomarkers that predict response to TNF inhibitors and other biologics in patients with IBD.

WebinarBoutique Webinar : Predicting Pregnancy Complications with High-Plex Proteomics

The interdisciplinary team, comprising 10-15 scientists and clinician-scientists, is dedicated to advancing diagnostics and therapeutics aimed at enhancing maternal and fetal care. Their primary focus lies in the development of interventions for conditions such as ectopic pregnancy and preeclampsia, alongside the creation of diagnostics to prevent stillbirth.

WebinarYoung blood for old brains and the quest to slow brain aging

Aging leads to the degradation of function in nearly all tissues and organs. This process is marked by significant shifts in gene expression and changes in concentrations of all types of biological molecules. Recent technological progress has allowed biologists to measure an unprecedented number of these molecules throughout an organism

WebinarUtilizing proteomic strategies to uncover novel biomarkers and mechanisms in heart failure 

Plasma proteomics is a powerful approach for discovering novel protein biomarkers of drug toxicity in various disease contexts. One such biomarker in cardiovascular disease is apolipoprotein M (ApoM), which plays a crucial role in lipid metabolism and transport and is known to have both anti-inflammatory and cardioprotective effects in the body. Studying ApoM using proteomics requires various approaches to understand its expression, modifications, interactions, and functions in the proteome.

WebinarUsing plasma proteomics to understand Alzheimer’s and other brain diseases

Dr. Walker discusses how he integrates proteomic, genetic, brain imaging and cerebral spinal fluid biomarkers from initially cognitively normal individuals who later develop dementia, in order to discover novel blood-based biomarkers and mechanistically relevant proteins for therapeutic target prioritization.

WebinarProteomics for precision neuroscience: The power of protein analysis

This webcast highlights how academic, industry and government researchers are directly measuring protein abundance and function via multiplex proteomics to build more detailed characterizations of the biological systems underlying neurodegenerative diseases.

WebinarCorrelation of a nonalcoholic steatohepatitis proteomic test with clinical outcomes

In this webinar, Anne Minnich, PhD, biomarker consultant at Bristol Myers Squibb, presents research on the use of the new SomaSignal(TM) NASH bundle test in a recently completed clinical trial.

WebinarHarnessing AI and proteomics for glioblastoma

The development and advancement of aptamer technology opens vast possibilities for unlocking the biocomplexity available within proteomics. Learn more about the powerful tools that are enabling the discovery and validation of clinically relevant biomarkers and accelerating research.

WebinarMapping the human mucosal immune response to respiratory viruses

Conventionally, human immune responses have been extensively characterized using blood. Immune cells, though abundant in blood, are also found in various tissues in varying numbers and with locally relevant functional specification. Assessing immune responses in the airways over the course of infection and convalescence is critical to comprehensively mapping immunity to respiratory viral infections including influenza and SARS-CoV-2.

WebinarAccelerating precision medicine of cancer with SomaScan® proteomics

Proteomics has emerged as the next frontier in precision medicine, and several innovative proteomics platforms have been developed to drive biomarker discovery. We [at Beth Israel Deaconess Medical Center] are using the currently most comprehensive proteomics technology -- the SomaScan Platform, which measures 7,000 proteins -- to discover and independently validate diagnostic, predictive, and prognostic biomarkers for various cancers.

WebinarImproving clinical development productivity with high-plex proteomics

While the vast majority of approved pharmaceuticals target proteins, knowledge of the full complement of proteins that are acted on by drugs, or are potentially druggable, remains incomplete. Assessment of the human proteome is thus increasingly recognized as a priority for successful and cost-effective drug development and clinical research.

WebinarMillions for Proteomics Research in the Peer Reviewed Medical Research Program

How SomaLogic Technologies can give your research programs an edge

WebinarA proteomics signature of NASH

There is a high unmet need for non-invasive tests that can robustly and reliably assess NAFLD for diagnosis, prognosis, and monitoring purposes. Large-scale profiling of serum/plasma proteins (proteomics) increasingly demonstrates utility to identify changes that accurately reflect and predict disease states and outcomes, including the fibrosis component of NASH that is driven by disease activity and remains the most robust histological marker of prognosis.

WebinarEarly detection, risk stratification, and drug target identification in pulmonary arterial hypertension with plasma proteomics

Pulmonary arterial hypertension is a rare condition that is clinically heterogenous and often diagnosed late in disease progression. Plasma proteomics offers the potential to diagnose earlier, risk-stratify patients, and identify new drug targets.

WebinarUsing non-hypothesized based approaches for biomarker development

Current biomarkers are only moderately predictive in identifying individuals with mild traumatic brain injury or concussion. Therefore, more accurate diagnostic markers are needed for sport-related concussion (SRC).

WebinarAssessment of variability and normalization methods using the plasma 7K SomaScan® Assay v4.1

In this webinar, the speakers present the largest technical assessment of this platform to date based on a study of 2,050 samples across 22 plates.

WebinarThe proteomics of aging: How technology is advancing research

Please join us to hear four experts discuss the present challenges and opportunities for proteomics in aging research: Eric Morgen, COO of BioAge Labs; Paola Sebastiani, faculty biostatistician at Tufts Medical Center and PI on the Longevity Consortium; Birgit Schilling, associate professor, Buck Institute for Research on Aging; and Alessandro Ori, group leader at the Leibniz Institute on Aging.

WebinarA multiomic approach to prediction, causation, and prevention of preterm birth and preeclampsia

When coupled with high-content data analysis, these multiomic approaches have allowed researchers to generate high-efficiency data to enable new correlations and insights between the genome, transcriptome, and proteome at a molecular level in health and disease.

WebinarProteomics for precision medicine: Next-generation testing to indicate future cardiovascular risk and improve outcomes

Move the needle away from the practice of late-stage treatment and toward treating at-risk patients sooner and before a major cardiovascular (CV) event. Learn how proteomics can reveal multiple answers to clinical questions that allow providers to better predict, monitor, and prevent the escalation of CV disease.

WebinarHuman proteomics: From the operating room to the lab and back

Optimizing platforms for surgical specimen collection and deep human phenotyping was used to enhance protein biomarker identification using proteomic tools. A series of studies using human eye fluids has helped to diagnose inflammatory retinal disease, select personalized therapies, stage cancer, and point to new therapeutic strategies. These approaches can be broadly applied to human surgical disease.

Webinar10 things I hate about proteomics

Dr. Williams explains in a fun - but serious - way how proteomics is revolutionizing drug discovery research and precision medicine worldwide today. He also couldn't resist telling the story about what happens when two proteins walk into a bar.

WebinarBigger data = better data: detect 7,000 proteins at once with high throughput to optimize biomarker discovery

WebinarUsing plasma proteomics to understand diseases of the brain: Alzheimer’s & cerebral small vessel disease

This presentation will demonstrate how proteins measured in blood decades before dementia onset can be combined with genetic data to (1) identify novel early biomarkers for Dementia, Alzheimer’s disease, and brain MRI characteristics indicative of Cerebral Small Vessel disease, and (2) better understand the molecular pathways altered in the preclinical and prodromal phase of neurodegenerative disease.

WebinarDeveloping microbiome-directed therapeutics for treating childhood undernutrition

This 1-hour talk covers how researchers are testing the hypothesis that perturbations in the normal development of the gut microbiome are causally related to childhood undernutrition, a devastating global health problem whose long-term sequelae include metabolic and immune dysfunction, stunting, and neurodevelopmental abnormalities, which remains largely refractory to current therapeutic interventions.

WebinarProteomic risk scores can help identify high-risk patients and monitor short- and long-term effects of treatment

In this 1-hour discussion, you will learn how large-scale proteomics can be leveraged for multiple applications in the field of oncology. The focus will be on 2 new avenues of oncology research. The first is using proteomic risk scores to monitor the cardiotoxic effects of anthracycline treatment and identify patients who may benefit from cardioprotective therapy. The other is developing blood-based protein tests for stratifying lung cancer susceptibility. From biomarker discovery to medicine application and the potential to inform and impact patients’ standard of care—there is a lot to learn and look forward to in oncology research using proteomics.

WebinarDetect biomarkers associated with nonalcoholic fatty liver disease (NAFLD)

In this 1-hour discussion, learn how the SomaScan assay can be used to detect biomarkers associated with NAFLD—specifically, the identification of circulating proteins associated with fibrosis in NAFLD using a custom 5k-plex SomaScan assay. Also discussed is the importance of identifying non-invasive biomarkers that improve clinical decision-making and drug development for NAFLD, and the strategies for multiplexed validation of candidate biomarkers discovered using the SomaScan assay.

WebinarAccelerating research and treatment for Castleman Disease

Background: Idiopathic Multicentric Castleman Disease (iMCD) is a hematologic illness involving cytokine-induced lymphoproliferation, systemic inflammation, cytopenias, and life-threatening multi-organ dysfunction. The molecular underpinnings of interleukin-6 (IL-6) blockade–refractory patients remain unknown; no targeted therapies exist. In this study, we searched for therapeutic targets in IL-6 blockade–refractory iMCD patients with the thrombocytopenia, anasarca, fever/elevated C-reactive protein, reticulin myelofibrosis, renal dysfunction, organomegaly (TAFRO) clinical subtype. Methods: Serum and plasma were isolated for iMCD-1 following standard protocols, stored at –80°C, and shipped overnight on dry ice to Myriad RBM (serum) and SomaLogic, Inc. (plasma) for analysis. Proteomic quantifications were performed in accordance with previously published methods for Myriad RBM Discovery MAP v.3.3, a multiplex immunoassay that quantifies the levels of 315 analytes, and a previous version of SomaLogic SomaScan®, a modified DNA-aptamer approach that quantifies 1129 analytes (the current version of SomaScan® quantifies over 7,000 analytes). Results: Studies of 3 IL-6 blockade–refractory iMCD cases revealed increased CD8+ T cell activation, VEGF-A, and PI3K/Akt/mTOR pathway activity. Administration of sirolimus substantially attenuated CD8+ T cell activation and decreased VEGF-A levels. Sirolimus induced clinical benefit responses in all 3 patients with durable and ongoing remissions of 66, 19, and 19 months. Conclusion: This precision medicine approach identifies PI3K/Akt/mTOR signaling as the first pharmacologically targetable pathogenic process in IL-6 blockade–refractory iMCD. Prospective evaluation of sirolimus in treatment-refractory iMCD is planned (NCT03933904).

WebinarCoffee chat: Advanced proteomic analysis

Proteomics has often lagged behind genomics in the development of new technologies and approaches. However, in recent years the significant advancement of contemporary techniques for proteomic analysis, such as aptamer-based technologies, has opened the door to a new era of advanced proteomic analysis. In this Coffee Chat, our three experts explore the reasons for the delay in proteomic developments, review the current analytical technologies available for proteomics and reveal the recent advances in the field, before highlighting the pros and cons of specific techniques.

WebinarIs massive scale proteomics causing a paradigm shift in biomarker discovery?

In this 45-minute talk, Dr. Stefánsson will discuss the largest population proteomics study ever performed to help provide more insight on disease and health outcomes. This collaborative research assembled expertise from deCODE Genetics and SomaLogic to combine the study of genetic and protein diversity to characterize disease biomarkers in the human population. The data from this type of proteomic study will inform drug discovery and development as well as improvements in health management.

WebinarSomaScan® analysis of non-blood body fluids – our experience across 5 different diseases

The SomaScan® platform offers the most comprehensive coverage of the human proteome, with a current coverage of over 7,000 proteins. We have applied the earlier version of the assay that interrogates 1,300 proteins to several diseases. An over-arching theme that is emerging from our studies is the observation that the closer the interrogated body fluid is to the site of pathology, the better it is for mining disease biomarkers. For example, urine is a better fluid to interrogate (rather than serum/plasma) in patients with urinary tract diseases, while stool may be a preferred material to examine in a subject with gastrointestinal disease rather than serum/plasma. Examples of the following tested samples will be discussed, all of which were executed using a 1,300-plex SomaScan® platform: lupus nephritis urine samples, bladder cancer urine samples, cerebrospinal fluid samples from patients with neuropsychiatric lupus and multiple sclerosis, colorectal cancer stool samples and inflammatory bowel disease stool samples. In all cases, ~20-40 of the identified hits were selected for ELISA verification in larger cohorts. Overall, ~85% of the SomaScan® identified hits withstand verification using commercially available ELISA kits. Downstream studies initiated by the SomaScan® assay will be exemplified using the completed lupus nephritis studies. The latter studies have led to the identification of novel diagnostic biomarkers, prognostic biomarkers, monitoring biomarkers, potential point-of care-tests, as well as therapeutic leads. In summary, the SomaScan® proteomic platform offers the most comprehensive proteomic coverage with good sensitivity and results that can be successfully verified using orthogonal antibody-based platforms. Taken together with other OMICs explorations, these emerging approaches have the potential to shed novel insights on disease pathways and mechanisms.

WebinarPredicting heart failure using the plasma proteome

To determine whether the plasma proteome adds value to established predictors in heart failure (HF) with reduced ejection fraction (HFrEF). We sought to derive and validate a plasma proteomic risk score (PRS) for survival in patients with HFrEF (HFrEF-PRS). Until recently, proteomics had not been as thoroughly explored partly due to comparatively low-throughput. However, emerging proteomic technologies have recently matured and newer high-throughput techniques now allow larger scale proteomic characterization. One of these newer technological innovations, enhanced aptamer-based assays, has enabled a massively expanded candidate approach that borders on true proteomics in scale; thousands of protein-derived factors can be efficiently assayed simultaneously in a small biologic sample. In this webinar, you will explore this new large-scale protein array using an established HF patient registry to understand how the plasma proteome could meaningfully predict the risk of death or HF worsening and add to best conventional risk stratification, including clinical score and natriuretic peptides. By using the circulating proteome to improve risk prediction, it could add a new tool to help manage patients with HF and contribute to discovery of novel HF markers and pathways.

WebinarGenomic atlas of the proteome from brain, CSF and plasma identifies causal and druggable proteins implicated for neurological disorders

Understanding the tissue-specific genetic architecture of protein levels is instrumental to understand the biology of health and disease. We generated a genomic atlas of protein levels in multiple neurologically relevant tissues (380 brain, 835 cerebrospinal fluid (CSF) and 529 plasma), by profiling thousands of proteins (713 CSF, 931 plasma and 1079 brain) in a large and well-characterized cohort. We identified 274, 127 and 32 protein quantitative loci (pQTL) for CSF, plasma and brain respectively. cis-pQTL were more likely to be shared across tissues but trans-pQTL tend to be tissue-specific. Between 44% to 68.2% of the pQTL do not colocalize with expression, splicing, methylation or histone QTLs, indicating that protein levels have a different genetic architecture to those that regulate gene expression. Using Mendelian randomization, we identify causal proteins in neurological diseases, including Alzheimer’s disease, Parkinson’s disease and stroke. Then, we performed bioinformatic analyses to determine if any of the identified proteins are drugable. We identidied 15 existing drugs approved by the U.S. Food and Drug Administration (FDA) have the potential to slow or reverse brain damage in those with Alzheimer’s disease and another 14 for Parkinson Disease, ALS or stroke. In summary, we present the first multi-tissue study yielding hundreds of novel pQTLs. This data will be instrumental to identify the functional gene from GWAS signals, identify novel biological protein-protein interactions, identify novel potential biomarkers and drug targets for complex traits.

WebinarUsing the SomaScan® Assay to identify protein biomarkers and create risk scores for chronic obstructive pulmonary disease (COPD) and emphysema

COPD and Emphysema are lung diseases related to chronic exposure to tobacco smoke or air pollution. The World Health Organization anticipates that COPD will be the number three cause of death worldwide by 2030; however, the majority of smokers and people exposed to air pollution do not develop COPD or emphysema. To better understand why only some people develop disease, we used SomaScan v4.0 (4,776 human proteins) to identify plasma biomarkers of disease status as well as severity and progression in 6,017 subjects from the COPDGene cohort. Because we were able to identify hundreds of individual biomarkers, the majority of which explained only a small percentage of the phenotypes, we used penalized regression (LASSO) to develop protein risk scores, which typically include 200-300 of the most influential proteins. These protein risk scores explained as much as 40-50% variance of disease.

WebinarProteomic discoveries in dementia and kidney disease: Harnessing 135 million measurements and 30 years of follow-up

The NIH-funded Atherosclerosis Risk in Communities (ARIC) Study, which began in 1987, is a treasure trove of longitudinal, clinical data for biomarker discovery. In this webinar, Josef Coresh will discuss how his team and collaborators have mined that data by connecting ARIC’s rigorous epidemiologic cohorts with breakthrough proteomic quantification enabled by the SomaScan® Assay. Using the SomaScan Assay, ~5,000 proteins were measured on frozen plasma from three visits conducted during 1990-1992 (n>10,000), 1993-1995 (N>12,000) and 2011-2013 (N>5000). Following quality control verification of high precision, data were cleaned and shared with approximately 100 scientists working with ARIC data, who developed 64 approved manuscript proposals (3 published thus far, 13 forthcoming). Methods for discovery, internal, and external validation were developed with success for chronic kidney disease and dementia. Discoveries highlighted specific prognostic target proteins (e.g. SVEP for dementia and TNFsR1 and LMAN2 for CKD) and pathways for each disease with Mendelian Randomization evidence of causation supporting some as useful targets for intervention.