tv.qiagenbioinformatics.com

Single cell experiment viewer (SCEV) enables researchers to explore single-cell experiments in an interactive visual environment, overlaying curated cell metadata and gene expression patterns to reveal biologically meaningful cell states. By applying IPA’s embedding model of causal relationships, SCEV predicts upstream regulators and downstream functions that are likely active in specific cells or cell populations, helping users move from visualization to mechanistic interpretation.

Check out the dataset: https://omicsoft-explorer.ingenuity.com/scev/human_umi_b38_gc33/E-MTAB-7407_UMI_GPL20301_CellMap1

Explore how CLC Genomics Server enables the transition from ad hoc bioinformatics analyses to a scalable, centrally managed and production-ready infrastructure. We will show how the platform supports:

• - Secure and centralized compute environments

• - Controlled deployment of validated workflows

• - Multi-user access with governance and audit trails

• - Integration within existing IT and virtualized environments

Gain insights into how a genomics server framework improves reproducibility, reduces operational complexity and supports both research- and production-ready workflows.

As cosmetic science advances, consumers are demanding products better tailored to their specific concerns. What if you could decode skin biology and translate it into targeted cosmetic innovation?

Next-generation sequencing (NGS) is deepening our understanding of skin biology by enabling comprehensive, high-throughput analysis of DNA and RNA to identify key genetic and transcriptomic markers associated with skin function and response. From fundamental processes and pathways to validating product efficacy, NGS sets the foundation for a more targeted, evidence-based approach to product development.  

Join Guilherme Brussolo Bidoia from Natura’s global R&D team and explore how molecular insights translate to cosmetic discoveries.

See how:

- The microbiome is modulated and its importance in the scalp

- Advanced NGS platforms like QIAGEN Ingenuity Pathway Analysis help explore cosmetic interventions

- Cosmetics impact skin biology

Speaker:

Guilherme Brussolo Bidoia

Skin biology researcher, Natura Global R&D

Guilherme Brussolo Bidoia is a skin biology researcher at Natura's Global R&D, focusing on the intersection of molecular biology and cross-category innovation. With 6 years of experience, he specializes in developing cutting-edge cosmetic technologies through in vitro, ex vivo and clinical validation models.

Understanding the inner workings of the adaptive immune system is critical to new strategies for combatting cancer and infectious diseases. In this webinar led by Drs. Mazza, Mazzotti and de Souza, we will explore T-cell receptor (TCR) repertoire analysis from start to finish, examining the different steps, approaches and data analysis implications.

Join us to gain a deeper understanding of the molecular mechanisms of the adaptive immune system, discover the various applications of TCR repertoire analysis and considerations for an optimal TCR-seq workflow.

You will learn:

• How the adaptive immune system works

  • From an overview of the hallmarks of adaptive immunity to the mechanisms by which immune receptors facilitate molecular recognition

• About T cell receptor (TCR) diversity and the applications of TCR-seq

  • TCR variations, their genetic basis and applications of TCR-seq in translational immunology, particularly in infectious disease, oncology and therapeutics research                             

• How to assemble and optimize a TCR-seq analysis workflow

  • From extraction, to library prep and data analysis, learn how advanced tools like the QIAseq Targered Panel for TCR and CLC Genomics Workbench support a streamlined, effective and reliable workflow

Speakers:

Dr. Massimiliano Mazza

Dr. Lucia Mazzotti

Dr. Patricia Borges de Souza

Istituto Romagnolo per lo Studio dei Tumori "Dino Amadori"

“Reliable AI”? Sounds like a contradiction, but with HGMD in Franklin, it’s possible.

By combining HGMD Pro’s comprehensive, expert-curated hereditary variant content and Franklin’s AI workflows and user-friendly interface, accelerated hereditary variant interpretation is now within closer reach. Whether you’re in diagnostics, research or bioinformatics, you will gain practical insights into a simplified genomic analysis workflow.

You will learn to:

• Access HGMD data directly within Franklin by QIAGEN

• Apply flexible HGMD-based filtering for inherited disease mutations

• Improve diagnostic efficiency with an AI platform powered by curated, high-quality data and contributions from the medical community

Neutrophils, known for killing microbes, can be both beneficial and harmful during a tuberculosis (TB) infection. While neutrophils kill the bacteria early on, they also contribute to chronic inflammation and lung tissue destruction. However, recent studies show that these roles are associated with different subsets of neutrophils: regulatory ones that display major histocompatibility complex (MHC)-II and the classical MHC-II- neutrophils.

In this webinar, Dr. Aude Remot from Université de Tours, France, will share how they identified functionally and transcriptionally distinct neutrophil subsets in the lungs of tuberculosis-infected mice. Afterward, her team expanded this research towards bovine TB physiopathology.

Learn how:

• Responses between inflammatory and regulatory neutrophils differ

• Regulatory neutrophils can pave the way for the discovery of new biomarkers and therapeutic interventions towards better TB management

• QIAGEN Ingenuity Pathway Analysis (IPA) was used to streamline the analysis, biological interpretation and correlation of bovine and mouse RNA-seq data

• IPA helped identify primers to target specific pathways for high-throughput qPCR

Speaker:

Aude Remot, PhD

Immunology researcher, Université de Tours ISP (Infectiology and Public Health)

Aude Remot, PhD, is an immunology researcher who has been working at the UMR1282 INRAE-Université de Tours ISP (Infectiology and Public Health) since 2015. While her research projects mainly focus on the physiopathology of bovine tuberculosis and the role of neutrophil subsets, her expertise covers innate immunity, host-microbial interactions, vaccinology and infectiology.

Before her current role, Dr. Remot obtained her PhD at the INRAE ​​VIM unit in Jouy-en-Josas, where she studied the immune lung factors responsible for neonatal sensitivity to the respiratory syncytial virus. She went on to the University of Gent in Belgium, where she completed her post-doctorate on the role of lung microbiota in the establishment of lung immunity, using an asthma model.

Dr. Remot has also been a member of the steering committee of the Neutrophil Club since 2023, which is attached to the French Society of Immunology.

Our exclusive, hands-on virtual workshops will  explore Franklin + HGMD Professional: a powerful variant interpretation and reporting solution combining AI-driven workflows with expertly curated evidence.

During this session, you’ll analyze a real-world case involving a 3-month-old patient with complex neuromuscular phenotypes. Using Franklin + HGMD, you’ll prioritize variants, explore curated evidence (including disease-causing mutations from HGMD), and see how seamlessly the platform integrates clinical data, expert recommendations, and insights from 100+ databases.

See how Franklin + HGMD:

• - Uses advanced AI to prioritize and classify variants efficiently

• Automates ACMG classification with integrated HGMD and ClinGen guidance

• - Enables customizable, AI-assisted reporting for actionable clinical insights

• - Helps labs build a centralized, evolving knowledge base from real-world evidence

Are you working on or planning an ‘omics project? Newsflash: You don’t need to have data to get insights. Don’t miss out on pre-data findings with QIAGEN Ingenuity Pathway Analysis (IPA).

In this deep dive, we’ll focus on building networks of biomolecules and entities (pathways, diseases, biological functions and more). We’ll explore how you can modify it to perform in silico experiments – with or without your own data.

You will learn:

• To construct a network from scratch or edit a network/pathway of interest from an analysis or the Ingenuity knowledge base

• To use IPA’s Build and Overlay tools to add genes, proteins, drugs, metabolites, diseases, biological processes and more, even applying filters for added biological context, such as limiting the connections within the network to activation and phosphorylation only

• To perform in silico prediction, e.g., if a drug, siRNA or CRISPR were to reduce the activity of a gene/protein, and its impact on the remaining genes/proteins/diseases in that network), export high-resolution graphics or tabulated relationships and include the created network in future pathway analyses

Today’s healthcare system largely reacts to illness rather than preventing it. Researchers at Stanford University School of Medicine are pioneering a new approach: using big data, multi-omics technologies, and continuous remote monitoring to understand health while people are still well and detect disease at its earliest, pre-symptomatic stages. By combining genomics, immunomics, transcriptomics, proteomics, metabolomics, microbiomics, wearable devices and microsampling, scientists can track health and biological change in unprecedented detail.

In this webinar, Michael Snyder will present findings from a long-term study of 200 individuals followed for up to 15 years, revealing major insights into cardiovascular disease, cancer, metabolic health, and infectious disease. Key discoveries include distinct, measurable aging patterns, how wearable devices can be used for early detection of infectious diseases, such as COVID-19, and how microsampling can be used for monitoring and improving lifestyle.

During this session, you’ll analyze a real-world case involving a 3-month-old patient with complex neuromuscular phenotypes. Using Franklin + HGMD, you’ll prioritize variants, explore curated evidence (including disease-causing mutations from HGMD), and see how seamlessly the platform integrates clinical data, expert recommendations, and insights from 100+ databases.

You’ll also discover how Franklin + HGMD:

• Uses advanced AI to prioritize and classify variants efficiently

• Automates ACMG classification with integrated HGMD and ClinGen guidance

• Enables customizable, AI-assisted reporting for actionable clinical insights

• Helps labs build a centralized, evolving knowledge base from real-world evidence