single-cell analysis

Multi-tissue dissociation kits provide a versatile and robust solution for streamlining single-cell dissociation workflows.   

A lower-resolution spatial epigenomics method offers a cost-effective alternative to traditional single-cell approaches.

Flow-based methods allow researchers to collect multiparameter data from individual cells in their samples, but the fate of samples depends on the instrument.

Arpita Kulkarni will share tips and tricks for successful single cell RNA sequencing experiments.

Microfluidic systems redefined biology by providing platforms that handle small fluid volumes, catalyzing advancements in cellular and molecular studies.

Researchers developed a “test tube” so tiny that it can hold a single cell. These vials enabled them to connect protein secretion levels with surface markers and transcriptome data from the same cell. 

Researchers investigated how cancer antigenicity drives unique forms of T cell exhaustion and hypofunctionality.

Researchers can overcome RNA degradation challenges in preserved samples with an in situ hybridization-based single cell expression profiling assay.

Gaining a better understanding of the dynamic and reciprocal interactions between cancer cells and the tumor microenvironment is essential for improving patient diagnosis and treatment.

This year’s crop of winning products features many with a clinical focus and others that represent significant advances in sequencing, single-cell analysis, and more.

Modern screening methods help usher in a new age of antibody therapeutics. 

There is only one week remaining to submit your new product to vie for a coveted spot in The Scientist’s 2022 competition.

Delivering antioxidants via extracellular vesicles to atrophied muscles restores them during rehabilitation.

Explore real solutions for single cell research.

Scientists profiled whole blood samples to find the ideal storage environment for downstream single cell analyses.

Understand host-pathogen interactions with single-cell and spatial technologies.

Single cell and spatial analyses help solve the mysteries of cancer.

Researchers optimize technologies to simultaneously obtain proteomic and transcriptomic data from single cells.

Timothy O’Sullivan and Jacob Blum will discuss how they use single cell data to understand complex biological systems.