BD has announced a collaboration with Hamilton to develop automated applications for high-throughput, single-cell multiomics experiments.
The partnership aims to standardise the single-cell multiomics experiments and reduce human error in the preparation of DNA samples or ‘libraries’ ready for genetic sequencing.
These multiomics experiments are said to be crucial for gaining insights from cells, with the construction of genetic libraries being the first step.
However, the process of next-generation sequencing (NGS) library preparation is traditionally manual, time-consuming and prone to inconsistency.
The collaboration between BD and Hamilton seeks to address these challenges by automating steps such as pipetting and thermal cycling.
BD Biosciences worldwide president Steve Conly said: “Multiomics-based assays are increasingly used by single cell researchers in the fields of oncology, immunology and other disciplines to help investigate the various layers of information on a single cell and access a deeper view of health and disease, which is why ensuring reproducible results is critical.
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“By integrating Hamilton’s robotic technology into our end-to-end portfolio of single-cell multiomics solutions, BD continues to leverage automation so that more researchers – whether academic, biopharmaceutical or contract research organisation – are empowered to perform larger-scale single-cell multiomics studies with confidence.”
The company aims to deliver a suite of Rhapsody Single-Cell Analysis Library Preparation Reagent Kits to perform on the Hamilton Microlab NGS STAR robotic liquid-handling platform.
Hamilton vice-CEO Matt Hamilton said: “Through this collaboration with BD, we aim to deliver a complete solution for researchers that reduces the potential for biases and enables greater throughput so that labs can achieve their results with greater reliability.”
The BD Rhapsody Single-Cell Analysis Library Preparation Reagent Kits and Hamilton Microlab NGS STAR applications are due to be released in phases, beginning this year.