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      Expansion sequencing: Spatially precise in situ transcriptomics in intact biological systems

      1 , 2 , 3 , 1 , 2 , 1 , 2 , 4 , 1 , 2 , 5 , 1 , 6 , 7 , 8 , 1 , 9 , 10 , 1 , 10 , 10 , 1 , 2 , 1 , 6 , 1 , 6 , 1 , 2 , 4 , 1 , 2 , 1 , 2 , 5 , 1 , 1 , 5 , 6 , 7 , 8 , 1 , 2 , 11 , 7 , 8 , 7 , 8 , 8 , 7 , 8 , 12 , 12 , 13 , 13 , 13 , 14 , 6 , 15 , 16 , 14 , 14 , 6 , 6 , 6 , 6 , 6 , 6 , 17 , 18 , 7 , 8 , 1 , 1 , 2 , 5 , 17 , 18 , IMAXT Consortium19¶
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      American Association for the Advancement of Science (AAAS)

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          Abstract

          Methods for highly multiplexed RNA imaging are limited in spatial resolution and thus in their ability to localize transcripts to nanoscale and subcellular compartments. We adapt expansion microscopy, which physically expands biological specimens, for long-read untargeted and targeted in situ RNA sequencing. We applied untargeted expansion sequencing (ExSeq) to the mouse brain, which yielded the readout of thousands of genes, including splice variants. Targeted ExSeq yielded nanoscale-resolution maps of RNAs throughout dendrites and spines in the neurons of the mouse hippocampus, revealing patterns across multiple cell types, layer-specific cell types across the mouse visual cortex, and the organization and position-dependent states of tumor and immune cells in a human metastatic breast cancer biopsy. Thus, ExSeq enables highly multiplexed mapping of RNAs from nanoscale to system scale.

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          Fiji: an open-source platform for biological-image analysis.

          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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            Is Open Access

            The Sequence Alignment/Map format and SAMtools

            Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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              Fast gapped-read alignment with Bowtie 2.

              As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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                Journal
                Science
                Science
                American Association for the Advancement of Science (AAAS)
                0036-8075
                1095-9203
                January 28 2021
                January 29 2021
                January 28 2021
                January 29 2021
                : 371
                : 6528
                : eaax2656
                Affiliations
                [1 ]Department of Media Arts and Sciences, MIT, Cambridge, MA, USA.
                [2 ]McGovern Institute, MIT, Cambridge, MA, USA.
                [3 ]Faculty of Engineering, Gonda Brain Research Center and Institute of Nanotechnology, Bar-Ilan University, Ramat Gan, Israel.
                [4 ]Harvard-MIT Program in Health Sciences and Technology, MIT, Cambridge, MA, USA.
                [5 ]Department of Biological Engineering, MIT, Cambridge, MA, USA.
                [6 ]Broad Institute of MIT and Harvard, Cambridge, MA, USA.
                [7 ]Department of Genetics, Harvard Medical School, Boston, MA, USA.
                [8 ]Wyss Institute for Biologically Inspired Engineering, Boston, MA, USA.
                [9 ]Kioxia Corporation, Minato-ku, Tokyo, Japan.
                [10 ]Fixstars Solutions Inc, Irvine, CA, USA.
                [11 ]Department of Mechanical Engineering, MIT, Cambridge, MA, USA.
                [12 ]Allen Institute for Brain Science, Seattle, WA, USA.
                [13 ]Center for Immuno-Oncology (CIO), Dana-Farber Cancer Institute, Boston, MA, USA.
                [14 ]Center for Cancer Genomics, Dana-Farber Cancer Institute, Boston, MA, USA.
                [15 ]Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
                [16 ]Department of Cell Biology, Harvard Medical School, Boston, MA, USA.
                [17 ]Koch Institute for Integrative Cancer Research, Department of Biology, MIT, Cambridge, MA, USA.
                [18 ]Howard Hughes Medical Institute, Chevy Chase, MD, USA.
                Article
                10.1126/science.aax2656
                7900882
                33509999
                821f6a3c-bdf4-4d7b-9e04-09fe48b1f35d
                © 2021

                https://www.sciencemag.org/about/science-licenses-journal-article-reuse

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