For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
50
views
7
references
 Top references
cited by
61
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      500
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Single-cell analyses to tailor treatments

      other

      Read this article at

      ScienceOpenPublisherPMC
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          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.

          Related collections

          Most cited references7

          • Record: found
          • Abstract: found
          • Article: not found

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

          Yonit Lavin, Soma Kobayashi, Andrew Leader … (2017)
          To guide the design of immunotherapy strategies for patients with early stage lung tumors, we developed a multiscale immune profiling strategy to map the immune landscape of early lung adenocarcinoma lesions to search for tumor-driven immune changes. Utilizing a barcoding method that allows a simultaneous single cell analysis of the tumor, non-involved lung and blood cells together with multiplex tissue imaging to assess spatial cell distribution, we provide a detailed immune cell atlas of early lung tumors. We show that stage I lung adenocarcinoma lesions already harbor significantly altered T cell and NK cell compartments. Moreover, we identified changes in tumor infiltrating myeloid cell (TIM) subsets that likely compromise anti-tumor T cell immunity. Paired single cell analyses thus offer valuable knowledge of tumor-driven immune changes, providing a powerful tool for the rational design of immune therapies. Comparing single tumor cells with adjacent normal tissue and blood from patients with lung adenocarcinoma charts early changes in tumor immunity and provides insights to guide immunotherapy design.
          Article 0 comments Cited 574 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            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.
            Article 0 comments Cited 348 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              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.
              Article 0 comments Cited 111 times – based on 0 reviews     Review now
                Bookmark
                All references

                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
                Electronic Location Identifier: eaan4730
                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
                SO-VID: 436fa83c-e0dd-4ed7-888c-b73e0d02a297
                Copyright © © 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.

                History
                Date received : 18 April 2017
                Date accepted : 25 August 2017
                Categories
                Subject: Cancer

                Data availability:

                Comments

                Comment on this article

                scite_

                Similar content500

                See all similar

                Cited by59

                See all cited by

                Most referenced authors365

                See all reference authors