Search Results - william+greenleaf

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­QUANTIFICATION OF CELLULAR PROTEINS USING BARCODED BINDING MOIETIES
­QUANTIFICATION OF CELLULAR PROTEINS USING BARCODED BINDING MOIETIES Researchers at Stanford have developed a method enabling quantification of intracellular protein levels using oligonucleotide-barcoded antibodies. Multiplexing single cell technologies affords researchers the ability to characterize cell states and identify gene regulatory programs...
Published: 3/17/2023   |   Inventor(s): William Greenleaf, Amy Chen
Keywords(s): Affinity Reagent, Antibody, Biomolecules, Integrated Screening System, ScRNA-seq, Single Cell, Single Cell Analysis, Single Cell Genomics, Single Cell RNA Sequencing, Single-cell Transcriptomics
Category(s): Technology Classifications > Biology
TUNABLE RNA INTERFERENCE VIA NUCLEOTIDE MISMATCH DESIGN
TUNABLE RNA INTERFERENCE VIA NUCLEOTIDE MISMATCH DESIGN Researchers at Stanford, the University of Massachusetts and the Chan Zuckerberg Biohub have developed methods to increase or decrease RNA interference target cleavage rates. Harnessing the power of RNA interference (RNAi), the biological process of RNA-guided and sequence-specific gene expression...
Published: 10/26/2024   |   Inventor(s): William Greenleaf, Phillip Zamore, Winston Becker, Benjamin Ober-Reynolds, Karina Jouravleva, Samson Jolly
Keywords(s): Gene Expression, miRNA, Nucleotide, RNAi, siRNA
Category(s): Technology Classifications > Biology
MULTI-PARAMETRIC AND HIGH-THROUGHPUT SINGLE CELL ANALYSIS
MULTI-PARAMETRIC AND HIGH-THROUGHPUT SINGLE CELL ANALYSIS Researchers at Stanford, funded in part by the Chan Zuckerberg Biohub, have generated a method for performing multi-parametric and high-throughput single cell genomic and phenotypic analyses. Single cell -omics, the study of diverse biological processes such as genome, RNA or protein expression...
Published: 3/17/2023   |   Inventor(s): Polly Fordyce, Kara Brower, Sandy Klemm, William Greenleaf
Keywords(s): High-Throughput, Microfluidics, Single Cell, Single Cell Analysis, Single Cell Genomics
Category(s): Technology Classifications > Biology