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Reza Kalhor

Researcher at Harvard University

Publications -  47
Citations -  3554

Reza Kalhor is an academic researcher from Harvard University. The author has contributed to research in topics: Chromatin & Biology. The author has an hindex of 18, co-authored 39 publications receiving 2932 citations. Previous affiliations of Reza Kalhor include University of Southern California & University of Tehran.

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Highly multiplexed subcellular RNA sequencing in situ.

TL;DR: FISSEQ is compatible with tissue sections and whole-mount embryos and reduces the limitations of optical resolution and noisy signals on single-molecule detection, and can be used to investigate cellular phenotype, gene regulation, and environment in situ.
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Genome architectures revealed by tethered chromosome conformation capture and population-based modeling

TL;DR: A computational method is developed to translate the TCC data into physical chromatin contacts in a population of three-dimensional genome structures, demonstrating that the indiscriminate properties of interchromosomal interactions are consistent with the well-known architectural features of the human genome.
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Fluorescent in situ sequencing (FISSEQ) of RNA for gene expression profiling in intact cells and tissues

TL;DR: A protocol for genome-wide profiling of gene expression in situ in fixed cells and tissues, in which RNA is converted into cross-linked cDNA amplicons and sequenced manually on a confocal microscope, which enriches for context-specific transcripts over housekeeping and/or structural RNA.
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Developmental barcoding of whole mouse via homing CRISPR

TL;DR: This method demonstrates lineage tracing from the very first branches of the development tree up to organogenesis events and was used to elucidate embryonic brain patterning in fully developed mice.
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Genome-wide Linkage Analysis of a Parkinsonian-Pyramidal Syndrome Pedigree by 500 K SNP Arrays

TL;DR: The results suggest that linkage in the pedigree may have been missed had the chips containing less than 100,000 SNPs across the genome been used, and the possible value of interrogating SNPs at higher densities has been considered.