Latest Posters

Increased demand has led to an overwhelming volume of LC-MS/MS data and a requirement for analytical software that can simplify its interpretation. This poster highlights a new, comprehensive software solution capable of eliminating the otherwise overwhelming efforts of manual data interpretation.

Microglia play key roles in neurogenesis, synaptic remodeling, and are the first responders to infection in the brain. Hence, disease-relevant cell models are key to the success of neuroimmune and neurodegeneration research.

Formaldehyde fixed & paraffin-embedded (FFPE) tissue blocks are one of the most commonly used and archived sample types. However, some preservation approaches can result in the degradation of RNA and hinder transcriptome profiling .

This poster discusses ChipCytometry, a modified approach to slide-based cytometry, a novel, highly multiplexed technology that preserves both plex and spatial context to deeply profile immune cell diversity at single-cell resolution

Drug discovery is a time-consuming, resource-intensive part of developing therapeutic targets. This is especially true for commonly considered 'undruggable' targets such as transmembrane proteins.

Whether you are working in cell line development, 3D biology, drug screening —or a combination of the three — technologies that maximize throughput and reproducibility can free up your time and give you greater insights.

Patient-derived induced pluripotent stem cells (iPSCs) enable generation of in vitro models that can recapitulate human disease phenotypes. However, conventional human iPSC differentiation protocols are often lengthy, inconsistent and difficult to scale.

To overcome these challenges, researchers have developed a proprietary gene-expression targeting strategy that can rapidly reprogram hiPSCs into pure somatic cell types in a scalable manner. This approach was used to develop a Huntington’s disease (HD) model carrying a 50CAG expansion in the huntingtin (HTT) gene.

Researchers require spatial information and high-plex gene expression data to understand how cells interact with tumors. However, molecular subtyping within a tumor type requires additional stratification at the tissue level to facilitate meaningful subsequent gene expression analysis.

Traditionally, there has been a compromise between performance and sustainability.