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      Single-cell transcriptomes from human kidneys reveal the cellular identity of renal tumors

      1 , 1 , 2 , 3 , 1 , 4 , 5 , 6 , 6 , 1 , 2 , 7 , 8 , 8 , 6 , 1 , 8 , 1 , 1 , 9 , 10 , 1 , 1 , 6 , 1 , 2 , 3 , 3 , 9 , 2 , 9 , 2 , 7 , 8 , 2 , 11 , 12 , 11 , 2 , 2 , 3 , 9 , 10 , 2 , 13 , 8 , 14 , 1 , 2 , 6 , 1 , 2 , 7
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      American Association for the Advancement of Science (AAAS)

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          Pediatric and adult kidney tumors differ

          Understanding tumor origins and the similarities and differences between organ-specific cancers is important for determining treatment options. Young et al.generated more than 72,000 single-cell transcriptomes from healthy and cancerous human kidneys. From these data, they determined that Wilms tumor, a pediatric kidney cancer, originates from aberrant fetal cells, whereas adult kidney cancers are likely derived from a specific subtype of proximal convoluted tubular cell.

          Science, this issue p. [Related article:]594

          Abstract

          Single-cell mRNAs of normal and cancerous kidney cells reveal the cellular identity of childhood and adult tumors.

          Abstract

          Messenger RNA encodes cellular function and phenotype. In the context of human cancer, it defines the identities of malignant cells and the diversity of tumor tissue. We studied 72,501 single-cell transcriptomes of human renal tumors and normal tissue from fetal, pediatric, and adult kidneys. We matched childhood Wilms tumor with specific fetal cell types, thus providing evidence for the hypothesis that Wilms tumor cells are aberrant fetal cells. In adult renal cell carcinoma, we identified a canonical cancer transcriptome that matched a little-known subtype of proximal convoluted tubular cell. Analyses of the tumor composition defined cancer-associated normal cells and delineated a complex vascular endothelial growth factor (VEGF) signaling circuit. Our findings reveal the precise cellular identities and compositions of human kidney tumors.

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          Most cited references44

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          Regularization Paths for Generalized Linear Models via Coordinate Descent

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            Is Open Access

            Fast and accurate long-read alignment with Burrows–Wheeler transform

            Motivation: Many programs for aligning short sequencing reads to a reference genome have been developed in the last 2 years. Most of them are very efficient for short reads but inefficient or not applicable for reads >200 bp because the algorithms are heavily and specifically tuned for short queries with low sequencing error rate. However, some sequencing platforms already produce longer reads and others are expected to become available soon. For longer reads, hashing-based software such as BLAT and SSAHA2 remain the only choices. Nonetheless, these methods are substantially slower than short-read aligners in terms of aligned bases per unit time. Results: We designed and implemented a new algorithm, Burrows-Wheeler Aligner's Smith-Waterman Alignment (BWA-SW), to align long sequences up to 1 Mb against a large sequence database (e.g. the human genome) with a few gigabytes of memory. The algorithm is as accurate as SSAHA2, more accurate than BLAT, and is several to tens of times faster than both. Availability: http://bio-bwa.sourceforge.net Contact: rd@sanger.ac.uk
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              Is Open Access

              Massively parallel digital transcriptional profiling of single cells

              Characterizing the transcriptome of individual cells is fundamental to understanding complex biological systems. We describe a droplet-based system that enables 3′ mRNA counting of tens of thousands of single cells per sample. Cell encapsulation, of up to 8 samples at a time, takes place in ∼6 min, with ∼50% cell capture efficiency. To demonstrate the system's technical performance, we collected transcriptome data from ∼250k single cells across 29 samples. We validated the sensitivity of the system and its ability to detect rare populations using cell lines and synthetic RNAs. We profiled 68k peripheral blood mononuclear cells to demonstrate the system's ability to characterize large immune populations. Finally, we used sequence variation in the transcriptome data to determine host and donor chimerism at single-cell resolution from bone marrow mononuclear cells isolated from transplant patients.
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                Author and article information

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                Journal
                Science
                Science
                American Association for the Advancement of Science (AAAS)
                0036-8075
                1095-9203
                August 10 2018
                August 10 2018
                : 361
                : 6402
                : 594-599
                Affiliations
                [1 ]Wellcome Sanger Institute, Hinxton CB10 1SA, UK.
                [2 ]Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK.
                [3 ]Department of Surgery, University of Cambridge, Cambridge CB2 0QQ, UK.
                [4 ]UCL Division of Surgery and Interventional Science, Royal Free Hospital, London NW3 2PS, UK.
                [5 ]Specialist Centre for Kidney Cancer, Royal Free Hospital, London NW3 2PS, UK.
                [6 ]Molecular Immunity Unit, Department of Medicine, University of Cambridge, MRC Laboratory of Molecular Biology, Cambridge CB2 0QQ, UK.
                [7 ]Department of Paediatrics, University of Cambridge, Cambridge CB2 0QQ, UK.
                [8 ]Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
                [9 ]Great Ormond Street Hospital for Children NHS Foundation Trust, London WC1N 3JH, UK.
                [10 ]UCL Great Ormond Street Hospital Institute of Child Health, London WC1N 1E, UK.
                [11 ]Human Developmental Biology Resource, Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne NE1 3BZ, UK.
                [12 ]Cambridge Institute for Medical Research, University of Cambridge, Cambridge CB2 0XY, UK.
                [13 ]Department of Pathology, University of Cambridge, Cambridge CB2 1QP, UK.
                [14 ]Department of Dermatology, Royal Victoria Infirmary, Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne NE1 4LP, UK.
                Article
                10.1126/science.aat1699
                6104812
                30093597
                df557984-b05a-4010-b870-b9b4ffa429ec
                © 2018
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