Researchers have shown substantial interest in the integration of phenomics and transcriptomics data for novel biological insights since phenotypic characteristics are highly correlated with gene expression patterns. However, there is a lack of an efficient approach that could link gene expression profiles to cellular phenotypes (e.g., protein abundance and localization, cellular morphology, enzymatic and metabolic activity) at single-cell level in a high-throughput manner. To bridge this gap, WellSIM proposes to develop a platform which can extractphenotypic characteristics from thousands of individual cells via high-content imaging and link these features with their transcriptomic profiles. This technology will not only achieve multi-dimensional single cell studies, but also improve the performance of single-cell RNA sequencing through automatic sample preparation on amicrofluidic device without using barcoded beads.
Public Health Relevance Statement: Project narrative: Understanding how gene expression patterns and morphological phenotypes are related at the single-cell level has been difficult because of the lack of techniques for high-throughput multimodal profiling of individual cells. Our proposed technique could address the unmet needs in single-cell studies by massively parallel processing thousands of individual cells in one device, which will address the challenges in the collection of rich data for integrative single-cell phenomics and transcriptomics. This technology can accelerate the progress in multiple fields, including drug and antibody discovery, cell line and cell therapy development, identification of cell phenotype and rare cells, as well as synthetic biology.
Project Terms: Antibodies, Bar Codes, barcode, Biological Assay, Assay, Bioassay, Biologic Assays, Complementary DNA, cDNA, Cell Line, CellLine, Strains Cell Lines, cultured cell line, Cells, Cell Body, Data Analyses, Data Analysis, data interpretation, Disease, Disorder, Pharmaceutical Preparations, Drugs, Medication, Pharmaceutic Preparations, drug/agent, Gene Expression, Genes, Goals, Heterogeneity, Manuals, Names, Oligo, oligos, Oligonucleotides, Phenotype, Proteins, Investigators, Researchers, Research Personnel, Non-Polyadenylated RNA, RNA Gene Products, Ribonucleic Acid, RNA, Running, Cell Communication and Signaling, Cell Signaling, Intracellular Communication and Signaling, Signal Transduction Systems, Signaling, biological signal transduction, Signal Transduction, Software, Computer software, Staining method, Stains, Technology, Time, Genetic Transcription, Gene Transcription, RNA Expression, Transcription, base, Label, improved, Phase, Variant, Variation, Biological, biologic, Link, insight, Individual, Recovery, cell mediated therapies, cell-based therapeutic, cell-based therapy, cellular therapy, Cell Therapy, Metabolic, Morphology, tool, Investigation, Dimensions, Techniques, interest, parallel processing, Performance, single cell analysis, novel, novel technologies, new technology, Devices, Gene Expression Monitoring, Gene Expression Pattern Analysis, Transcript Expression Analyses, Transcript Expression Analysis, gene expression analysis, gene expression assay, transcriptional profiling, Gene Expression Profiling, Sampling, drug development, Proteomics, drug discovery, Address, Microfluidic Device, Microfluidic Lab-On-A-Chip, microfluidic chip, Microfluidic Microchips, Data, Collection, Small Business Innovation Research Grant, SBIR, Small Business Innovation Research, Cellular Morphology, cell morphology, Preparation, Characteristics, Development, developmental, cellular imaging, cell imaging, Image, imaging, Gene Expression Profile, Expression Signature, gene expression pattern, gene expression signature, transcriptional profile, transcriptional signature, design, designing, Outcome, Population, innovation, innovate, innovative, transcriptomics, data acquisition, synthetic biology, massive parallel processing, fluorescence imaging, fluorescent imaging, therapy development, develop therapy, intervention development, treatment development, multimodality, multi-modality, phenomics, flexibility, flexible, operation, transcriptome sequencing, RNA Seq, RNA sequencing, RNAseq, screening, multiple omics, multiomics, microscopic imaging, microscope imaging, microscopy imaging, Injections, single-cell RNA sequencing, scRNA-seq, single cell RNA-seq, single cell RNAseq, single cell expression profiling, single cell transcriptomic profiling, biomarker signature
