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      Single-cell analyses to tailor treatments

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          Abstract

          Single-cell RNA-seq could play a key role in personalized medicine by facilitating characterization of cells, pathways, and genes associated with human diseases such as cancer.

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          Innate Immune Landscape in Early Lung Adenocarcinoma by Paired Single-Cell Analyses

           Yonit Lavin,  Soma Kobayashi,  Andrew Leader … (2017)
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            Seq-Well: A Portable, Low-Cost Platform for High-Throughput Single-Cell RNA-Seq of Low-Input Samples

             Todd M. Gierahn,  Marc Wadsworth,  Travis K. Hughes … (2017)
            Single-cell RNA-Seq can precisely resolve cellular states but application to sparse samples is challenging. Here, we present Seq-Well, a portable, low-cost platform for massively-parallel single-cell RNA-Seq. Barcoded mRNA capture beads and single cells are sealed in an array of subnanoliter wells using a semi-permeable membrane, enabling efficient cell lysis and transcript capture. We characterize Seq-Well using species-mixing experiments and PBMCs, and profile thousands of primary human macrophages exposed to tuberculosis.
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              Precision oncology for acute myeloid leukemia using a knowledge bank approach

               Moritz Gerstung,  Elli Papaemmanuil,  Inigo Martincorena … (2017)
              Peter Campbell, Hartmut Döhner and colleagues present an analysis of genetic mutations and clinical information from 1,540 patients with acute myeloid leukemia, demonstrating the utility of clinical knowledge banks for personalized medicine. They show that use of their approach could reduce the number of hematopoietic cell transplants in patients with AML by up to 25% while maintaining survival rates.
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                Author and article information

                Journal
                Journal ID (nlm-ta): Sci Transl Med
                Journal ID (iso-abbrev): Sci Transl Med
                Journal ID (publisher-id): STM
                Title: Science Translational Medicine
                Publisher: American Association for the Advancement of Science
                ISSN (Print): 1946-6234
                ISSN (Electronic): 1946-6242
                Publication date (Electronic): 20 September 2017
                Publication date (Print): 2017
                Volume: 9
                Issue: 408
                Affiliations
                [1 ]Institute for Medical Engineering & Science (IMES) and Department of Chemistry, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
                [2 ]Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
                [3 ]Ragon Institute of Massachusetts General Hospital, MIT, and Harvard, Cambridge, MA 02139, USA
                [4 ]The Centre for Personalised Medicine and Division of Pediatrics, Department of Clinical and Experimental Medicine, Linköping University, 58183 Linköping, Sweden
                Author notes
                [* ]Corresponding author. Email: shalek@ 123456mit.edu (A.K.S.); mikael.benson@ 123456liu.se (M.B.)
                Article
                Publisher ID: STM-09-eaan4730
                DOI: 10.1126/scitranslmed.aan4730
                PMC ID: 5645080
                PubMed ID: 28931656
                Copyright statement: © 2017 The Authors, some rights reserved
                License:

                This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                Categories
                Subject: Cancer

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