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Kramer, B. A.

Publications and source records attributed to Kramer, B. A..

2 recordsLinked to original sources

Linking live-cell imaging to single-cell sequencing using genetic barcoding

Linking cellular phenotype to genotype and gene expression is a central goal in biomedical research. Live-cell imaging captures dynamic cellular phenotypes, whereas single-cell sequencing measures genome-wide molecular states, but pairing these readouts for the same cell remains challenging. Here we present Waldo, a genetically encoded single-cell barcoding strategy that can be read out by both live-cell imaging and single-cell sequencing to connect single cells across both modalities. Waldo barcodes are generated by combinatorial expression of synthetic cell-surface receptors, each detected by a cognate peptide probe coupled either to a fluorescent dye or a DNA barcode. Iterative fluorescent probe staining achieves large barcode diversity, while preserving fluorescence channels for phenotypic reporters. As a proof-of-principle, we use Waldo to link cell division phenotypes after chromosome missegregation to the karyotype and transcriptome of the same cells. Waldo provides a general strategy for connecting imaging phenotypes to genome-wide sequencing readouts in single cells.

cell biology↗

Cellular state determines the multimodal signaling response of single cells

Numerous fundamental biological processes require individual cells to correctly interpret and accurately respond to incoming cues. How intracellular signaling networks achieve the integration of complex information from various contexts remains unclear. Here we quantify epidermal growth factor-induced heterogeneous activation of multiple signaling proteins, as well as cellular state markers, in the same single cells across multiple spatial scales. We find that the acute response of each node in a signaling network is tightly coupled to the cellular state in a partially non-redundant manner. This generates a multimodal response that senses the diversity of cellular states better than any individual response alone and allows individual cells to accurately place growth factor concentration in the context of their cellular state. We propose that the non-redundant multimodal property of signaling networks in mammalian cells underlies specific and context-aware cellular decision making in a multicellular setting.

systems biology↗