All Publications


  • Heat and Humidity for Bioburden Reduction of N95 Filtering Facepiece Respirators APPLIED BIOSAFETY Anderegg, L., Doyle, J., Gardel, M. L., Gupta, A., Hallas, C., Lensky, Y., Love, N. G., Lucas, B. A., Mazenc, E., Meisenhelder, C., Pillarisetti, A., Ranard, D., Squires, A. H., Vechakul, J., Vilas, N. B., Williams, S., Wilson, D., Chen, T. N., N95DECON Consortium 2021; 26 (2): 80-89
  • mu CB-seq: microfluidic cell barcoding and sequencing for high-resolution imaging and sequencing of single cells LAB ON A CHIP Chen, T. N., Gupta, A., Zalavadia, M. D., Streets, A. 2020; 20 (21): 3899-3913

    Abstract

    Single-cell RNA sequencing (scRNA-seq) enables the investigation of complex biological processes in multicellular organisms with high resolution. However, many phenotypic features that are critical to understanding the functional role of cells in a heterogeneous tissue or organ are not directly encoded in the genome and therefore cannot be profiled with scRNA-seq. Quantitative optical microscopy has long been a powerful approach for characterizing diverse cellular phenotypes including cell morphology, protein localization, and chemical composition. Combining scRNA-seq with optical imaging has the potential to provide comprehensive single-cell analysis, allowing for functional integration of gene expression profiling and cell-state characterization. However, it is difficult to track single cells through both measurements; therefore, coupling current scRNA-seq protocols with optical measurements remains a challenge. Here, we report microfluidic cell barcoding and sequencing (μCB-seq), a microfluidic platform that combines high-resolution imaging and sequencing of single cells. μCB-seq is enabled by a novel fabrication method that preloads primers with known barcode sequences inside addressable reaction chambers of a microfluidic device. In addition to enabling multi-modal single-cell analysis, μCB-seq improves gene detection sensitivity, providing a scalable and accurate method for information-rich characterization of single cells.

    View details for DOI 10.1039/d0lc00169d

    View details for Web of Science ID 000584044600004

    View details for PubMedID 32931539

    View details for PubMedCentralID PMC8256654