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The latest in omics research, from discovery and multi-omics approaches through to diagnostics development
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Top R&D Stories of 2023
Through captivating articles, insight pieces, and spotlight interviews, we delve into the remarkable innovations, breakthroughs, and scientific marvels that have defined the landscape of research over the past year.
Single Cell Analysis
Research Spotlight: Multi-Omics Data Harmonization for SARS-CoV-2 Virus and Drug Target Identification
The approach to omic data analysis combines multiple types of omic datasets in the hope of understanding multiple layers of a biological system.
Single Cell Analysis
Transforming Biomarker Development for Immunotherapy through Single Cell Spatial Phenotyping
On-Demand Webinar with Aditya Pratapa, Senior Data Scientist & Amélie Viratham at Akoya Biosciences
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Comparing Mass Spectrometry and Single-Molecule Sequencing for Single-Cell Proteomics
Advancements in mass spectrometry and single-molecule sequencing should accelerate protein analysis, assisting in approaches for cancer research and accessible single-cell measurements.
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In Conversation With... Fan Zhang, Assistant Professor at the University of Colorado
Here, we speak to Fan Zhang, Assistant Professor at the University of Colorado, about the applications of computational biology in studying disease behaviour.
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10x Genomics and Single Cell RNA Sequencing: Interview with Philip Bischoff and Angela Churchill
Unlocking the potential for FFPE samples in advancing single-cell sequencing for tumour microenvironment research.
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Integrating Machine Learning into Single-Cell Omics Analysis
Machine learning methods can be hugely important in aiding the interpretation and integration of data generated through single-cell omics analysis, assisting in disease detection and modelling.
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AI Tool Could Predict Single Cell RNA Sequencing and Expression
A new AI model - scGPT - improves single cell RNA sequencing by predicting gene expression in individual cells, although it may be some time before it enters general use.
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Fuelling New Discoveries by Combining Single Cell and Spatial Transcriptomics
On-Demand Webinar featuring Didem Arikaya, Sr. Product Manager, Software at 10x Genomics
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Navigating Post-Translational Modifications in Single-Cell Analysis
What are the current opportunities and challenges facing single-cell analysis today? We ask key opinion leaders from Janssen Pharmaceuticals, SciLifeLab, and the Karolinska Institutet.
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Utilising Single-Cell Metabolomics to Reveal Metabolic Cell States
Single-cell metabolomics is a rapidly growing area of study within the field of molecular imaging. By applying metabolomic imaging techniques at a single-cell resolution, it can be used to investigate cellular progression in diseases such as NASH and liver cirrhosis.
Single Cell Analysis
Current Bioinformatics Trends in Single-Cell Data Analysis: Good Practice Makes Perfect
Good quality samples are integral to single-cell data analysis, but maintaining sample integrity presents a logistical hurdle for bioinformatics teams worldwide. Read on to learn about how senior healthcare researchers circumvent the issues associated with sample degradation.
Single Cell Analysis
Single-Cell Transcriptomics and Implications for COVID-19 Severity
The expression of the protein coding gene CXCR6 was observed to be significantly lower in patients with severe cases of COVID-19, suggesting a genetic correlation in severe cases.
Single Cell Analysis
Sparsely Connected Autoencoders: A Multi-Purpose Tool for Single Cell Omics Analysis
In this Commentary article, we explore the opportunity afforded by Sparsely Connected Autoencoders to transform data in a controlled way to enable the comprehension of hidden biological information in single-cell data. Autoencoders provide researchers with a simplified means of inspecting functional relationships among regulatory elements as transcription factors.
Single Cell Analysis
Single Cell Analysis of the Tumour Microenvironment: Improving Understandings of Immune Contexts
This Discussion Group Report investigates some of the various applications of single cell analysis, and explores the differences in its utility relative to other analysis techniques such as spatial transcriptomics.
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Single Cell Proteomics: Advancements and Potential
Our April 2022 Omics Series discussion group focused on the potential and future of single-cell proteomics.
Single Cell Analysis
Single Cell Proteomics: Sample Preparation and Tissue Selection
Single-cell proteomics has developed quickly, despite being a relatively new field. NanoPOTS and FACS are being used to improve proteome coverage and minimise sample size.
Single Cell Analysis
Characterization of HepaRGŽ cells grown in 2D or 3D culture at single cell level using the cellenCHIP 384-3RNA-Seq Kit
The emergence of single-cell sequencing has opened a new field in analytical biological approaches particularly allowing to uncover cell-to-cell heterogeneity of 3D cellular models and preventing incomplete conclusions drawn from bulk cell populations
Single Cell Analysis
Single Cell Transcriptomics: Computational Analysis and Data Normalisation
Due to the heterogeneity seen in both eukaryotic and prokaryotic cell populations, single cell analysis opens up many new possibilities.
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