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Small RNA Sequencing across Diverse Biofluids Identifies Optimal Methods for exRNA Isolation.
Srinivasan, Srimeenakshi; Yeri, Ashish; Cheah, Pike See; Chung, Allen; Danielson, Kirsty; De Hoff, Peter; Filant, Justyna; Laurent, Clara D; Laurent, Lucie D; Magee, Rogan; Moeller, Courtney; Murthy, Venkatesh L; Nejad, Parham; Paul, Anu; Rigoutsos, Isidore; Rodosthenous, Rodosthenis; Shah, Ravi V; Simonson, Bridget; To, Cuong; Wong, David; Yan, Irene K; Zhang, Xuan; Balaj, Leonora; Breakefield, Xandra O; Daaboul, George; Gandhi, Roopali; Lapidus, Jodi; Londin, Eric; Patel, Tushar; Raffai, Robert L; Sood, Anil K; Alexander, Roger P; Das, Saumya; Laurent, Louise C.
Afiliação
  • Srinivasan S; Department of Obstetrics, Gynecology, and Reproductive Sciences and Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Yeri A; Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Cheah PS; Neurology and Radiology Services and Program in Neuroscience, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA; Department of Human Anatomy, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Malaysia.
  • Chung A; Department of Surgery, University of California, San Francisco and VA Medical Center San Francisco, San Francisco, CA 94121, USA.
  • Danielson K; Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • De Hoff P; Department of Obstetrics, Gynecology, and Reproductive Sciences and Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Filant J; Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Laurent CD; Department of Obstetrics, Gynecology, and Reproductive Sciences and Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA, USA; Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Laurent LD; Department of Obstetrics, Gynecology, and Reproductive Sciences and Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Magee R; Computational Medicine Center, Sidney Kimmel College of Medicine, Thomas Jefferson University, Philadelphia, PA, USA.
  • Moeller C; Department of Obstetrics, Gynecology, and Reproductive Sciences and Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Murthy VL; Department of Medicine, Division of Cardiovascular Medicine, Frankel Cardiovascular Center, University of Michigan, Ann Arbor, MI, USA.
  • Nejad P; Department of Neurology, Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Paul A; Department of Neurology, Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Rigoutsos I; Computational Medicine Center, Sidney Kimmel College of Medicine, Thomas Jefferson University, Philadelphia, PA, USA.
  • Rodosthenous R; Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Shah RV; Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Simonson B; Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • To C; Department of Obstetrics, Gynecology, and Reproductive Sciences and Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Wong D; Department of Surgery, University of California, San Francisco and VA Medical Center San Francisco, San Francisco, CA 94121, USA.
  • Yan IK; Mayo Clinic Florida, Jacksonville, FL, USA.
  • Zhang X; Neurology and Radiology Services and Program in Neuroscience, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA.
  • Balaj L; Neurology and Radiology Services and Program in Neuroscience, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA; Department of Neurosurgery, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA.
  • Breakefield XO; Neurology and Radiology Services and Program in Neuroscience, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA.
  • Daaboul G; NanoView Biosciences, Boston, MA, USA.
  • Gandhi R; Department of Neurology, Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Lapidus J; Oregon Health Sciences University, Portland, OR, USA.
  • Londin E; Computational Medicine Center, Sidney Kimmel College of Medicine, Thomas Jefferson University, Philadelphia, PA, USA.
  • Patel T; Mayo Clinic Florida, Jacksonville, FL, USA.
  • Raffai RL; Department of Surgery, University of California, San Francisco and VA Medical Center San Francisco, San Francisco, CA 94121, USA.
  • Sood AK; Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Center for RNA Interference and Non-Coding RNAs, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Cancer Biology, The University of Tex
  • Alexander RP; Pacific Northwest Research Institute, Seattle, WA 98122, USA.
  • Das S; Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Laurent LC; Department of Obstetrics, Gynecology, and Reproductive Sciences and Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA, USA. Electronic address: llaurent@ucsd.edu.
Cell ; 177(2): 446-462.e16, 2019 04 04.
Article em En | MEDLINE | ID: mdl-30951671
ABSTRACT
Poor reproducibility within and across studies arising from lack of knowledge regarding the performance of extracellular RNA (exRNA) isolation methods has hindered progress in the exRNA field. A systematic comparison of 10 exRNA isolation methods across 5 biofluids revealed marked differences in the complexity and reproducibility of the resulting small RNA-seq profiles. The relative efficiency with which each method accessed different exRNA carrier subclasses was determined by estimating the proportions of extracellular vesicle (EV)-, ribonucleoprotein (RNP)-, and high-density lipoprotein (HDL)-specific miRNA signatures in each profile. An interactive web-based application (miRDaR) was developed to help investigators select the optimal exRNA isolation method for their studies. miRDar provides comparative statistics for all expressed miRNAs or a selected subset of miRNAs in the desired biofluid for each exRNA isolation method and returns a ranked list of exRNA isolation methods prioritized by complexity, expression level, and reproducibility. These results will improve reproducibility and stimulate further progress in exRNA biomarker development.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: RNA / MicroRNA Circulante / Ácidos Nucleicos Livres Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: Cell Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: RNA / MicroRNA Circulante / Ácidos Nucleicos Livres Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Revista: Cell Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos