User Publications


Year

Title

Publication

Citation

2020

A targeted multi-omic analysis approach measures protein expression and low abundance transcripts on the single cell level

Cell Reports

Mair F, Erickson JR, Voillet V, et al. A Targeted Multi-omic Analysis Approach Measures Protein Expression and Low-Abundance Transcripts on the Single-Cell Level. Cell Rep. 2020;31(1):107499.

2020

Single-cell RNA-seq analysis identifies meniscus progenitors and reveals the progression of meniscus degeneration

Annals of the Rheumatic Diseases

Sun H, Wen X, Li H, et al. Single-cell RNA-seq analysis identifies meniscus progenitors and reveals the progression of meniscus degeneration. Annals of the Rheumatic Diseases. 2020;79:408-417.

2019

Quantitation of mRNA transcripts and proteins using the BD Rhapsody™ Single-Cell Analysis System

Advances in Experimental Medicine and Biology

Shum EY, Walczak EM, Chang C, Fan HC. (2019) Quantitation of mRNA Transcripts and Proteins Using the BD Rhapsody™ Single-Cell Analysis System. In: Suzuki Y. (eds) Advances in Experimental Medicine and Biology: Single Molecule and Single Cell Sequencing. Singapore:Springer; 2019;63-79.

2019

Reliability of human cortical organoid generation

Nature Methods

Yoon S, Elahi LS, Pașca AM, et al. Reliability of human cortical organoid generation. Nat Methods. 2019;16:75–78.

2019

Identification of a novel arthritis-associated osteoclast precursor macrophage regulated by FoxM1

Nature Immunology

Hasegawa T, Kikuta J, Sudo T, et al. Identification of a novel arthritis-associated osteoclast precursor macrophage regulated by FoxM1. Nat Immunol. 2019;20:1631–164.

 

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