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      SABER enables amplified and multiplexed imaging of RNA and DNA in cells and tissues

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          Abstract

          Fluorescence in situ hybridization (FISH) reveals the abundance and positioning of nucleic acid sequences in fixed samples. Despite recent advances in multiplexed amplification of FISH signals, it remains challenging to achieve high levels of simultaneous amplification and sequential detection with high sampling efficiency and simple workflows. Here, we introduce signal amplification by exchange reaction (SABER), which endows oligo-based FISH probes with long, single-stranded DNA concatemers that aggregate a multitude of short complementary fluorescent imager strands. We show that SABER amplifies RNA and DNA FISH signals (5 to 450-fold) in fixed cells and tissues, apply 17 orthogonal amplifiers against chromosomal targets simultaneously, and detect mRNAs with high efficiency. We further apply 10-plexSABER-FISH to identify in vivo introduced enhancers with cell type-specific activity in the mouse retina. SABER represents a simple and versatile molecular toolkit for rapid and cost-effective multiplexed imaging of nucleic acid targets.

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          Most cited references36

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          NIH Image to ImageJ: 25 years of image analysis.

          For the past 25 years NIH Image and ImageJ software have been pioneers as open tools for the analysis of scientific images. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            Theory of Edge Detection

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              Metadata matters: access to image data in the real world

              Data sharing is important in the biological sciences to prevent duplication of effort, to promote scientific integrity, and to facilitate and disseminate scientific discovery. Sharing requires centralized repositories, and submission to and utility of these resources require common data formats. This is particularly challenging for multidimensional microscopy image data, which are acquired from a variety of platforms with a myriad of proprietary file formats (PFFs). In this paper, we describe an open standard format that we have developed for microscopy image data. We call on the community to use open image data standards and to insist that all imaging platforms support these file formats. This will build the foundation for an open image data repository.
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                Author and article information

                Journal
                101215604
                32338
                Nat Methods
                Nat. Methods
                Nature methods
                1548-7091
                1548-7105
                18 April 2019
                20 May 2019
                June 2019
                20 November 2019
                : 16
                : 6
                : 533-544
                Affiliations
                [1 ]Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA,
                [2 ]Department of Systems Biology, Harvard Medical School, Boston, MA, USA,
                [3 ]Department of Genetics, Harvard Medical School, Boston, MA, USA,
                [4 ]Present address: Department of Genome Sciences, University of Washington, Seattle, WA, USA
                [5 ]These authors contributed equally
                Author notes

                Author Contributions: J.Y.K., S.W.L., B.J.B., E.R.W., C.L.C. and P.Y. conceived of the study. J.Y.K. and B.J.B. designed SABER probes, designed and executed cell experiments, and analyzed cell data. S.W.L designed and executed tissue experiments. E.R.W. developed the analytical pipeline and methods for tissue cell segmentation and puncta quantification. J.Y.K., S.W.L., B.J.B., E.R.W., A.Z, S.K.S., H.M.S., and Y.W. contributed to optimizing and performing experimental protocols and obtaining data. J.Y.K., S.W.L., B.J.B. E.R.W., C.L.C. and P.Y. wrote the manuscript. All authors edited and approved the manuscript. C.L.C and P.Y. supervised the work.

                Article
                NIHMS1526200
                10.1038/s41592-019-0404-0
                6544483
                31110282
                d128f329-b763-4009-b6b5-cb39e1748ec0

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                Life sciences
                Life sciences

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