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  • 1
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    Modular projects and 'mean questions: best practices for advising an International Genetically Engineered Machines team (2016)
    Oxford University Press
    Details
    Publication Date: 2016-06-15
    Description: In the yearly Internationally Genetically Engineered Machines (iGEM) competition, teams of Bachelor's and Master's students design and build an engineered biological system using DNA technologies. Advising an iGEM team poses unique challenges due to the inherent difficulties of mounting and completing a new biological project from scratch over the course of a single academic year; the challenges in obtaining financial and structural resources for a project that will likely not be fully realized; and conflicts between educational and competition-based goals. This article shares tips and best practices for iGEM team advisors, from two team advisors with very different experiences with the iGEM competition.
    Keywords: Professional Development
    Print ISSN: 0378-1097
    Electronic ISSN: 1574-6968
    Topics: Biology
    Published by Oxford University Press
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  • 2
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    An essential receptor for adeno-associated virus infection (2016)
    Nature Publishing Group (NPG)
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    Publication Date: 2016-01-28
    Description: Adeno-associated virus (AAV) vectors are currently the leading candidates for virus-based gene therapies because of their broad tissue tropism, non-pathogenic nature and low immunogenicity. They have been successfully used in clinical trials to treat hereditary diseases such as haemophilia B (ref. 2), and have been approved for treatment of lipoprotein lipase deficiency in Europe. Considerable efforts have been made to engineer AAV variants with novel and biomedically valuable cell tropisms to allow efficacious systemic administration, yet basic aspects of AAV cellular entry are still poorly understood. In particular, the protein receptor(s) required for AAV entry after cell attachment remains unknown. Here we use an unbiased genetic screen to identify proteins essential for AAV serotype 2 (AAV2) infection in a haploid human cell line. The most significantly enriched gene of the screen encodes a previously uncharacterized type I transmembrane protein, KIAA0319L (denoted hereafter as AAV receptor (AAVR)). We characterize AAVR as a protein capable of rapid endocytosis from the plasma membrane and trafficking to the trans-Golgi network. We show that AAVR directly binds to AAV2 particles, and that anti-AAVR antibodies efficiently block AAV2 infection. Moreover, genetic ablation of AAVR renders a wide range of mammalian cell types highly resistant to AAV2 infection. Notably, AAVR serves as a critical host factor for all tested AAV serotypes. The importance of AAVR for in vivo gene delivery is further highlighted by the robust resistance of Aavr(-/-) (also known as Au040320(-/-) and Kiaa0319l(-/-)) mice to AAV infection. Collectively, our data indicate that AAVR is a universal receptor involved in AAV infection.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Pillay, S -- Meyer, N L -- Puschnik, A S -- Davulcu, O -- Diep, J -- Ishikawa, Y -- Jae, L T -- Wosen, J E -- Nagamine, C M -- Chapman, M S -- Carette, J E -- DP2 AI104557/AI/NIAID NIH HHS/ -- R01 GM066875/GM/NIGMS NIH HHS/ -- U19 AI109662/AI/NIAID NIH HHS/ -- England -- Nature. 2016 Feb 4;530(7588):108-12. doi: 10.1038/nature16465. Epub 2016 Jan 27.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Microbiology and Immunology, Stanford University School of Medicine, 299 Campus Drive, Stanford, California 94305, USA. ; Department of Biochemistry and Molecular Biology, School of Medicine, Oregon Health &Science University, 3181 Sam Jackson Park Road, Portland, Oregon 97239-3098, USA. ; Shriners Hospital for Children, 3101 Sam Jackson Park Road, Portland, Oregon 97239, USA. ; Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, Netherlands. ; Department of Comparative Medicine, Stanford University School of Medicine, 287 Campus Drive, Stanford, California 94305, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26814968" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Antibodies/immunology/pharmacology ; Cell Line ; Dependovirus/classification/drug effects/*physiology ; Endocytosis/drug effects ; Female ; Gene Deletion ; Genetic Therapy/methods ; Host Specificity ; Humans ; Male ; Mice ; Parvoviridae Infections/*metabolism/*virology ; Receptors, Cell Surface/antagonists & inhibitors/deficiency/genetics/*metabolism ; Receptors, Virus/antagonists & inhibitors/deficiency/genetics/*metabolism ; *Viral Tropism/drug effects ; Virus Internalization/drug effects ; trans-Golgi Network/drug effects
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
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  • 3
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    Nuclear DNA sequences from the Middle Pleistocene Sima de los Huesos hominins (2016)
    Nature Publishing Group (NPG)
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    Publication Date: 2016-03-16
    Description: A unique assemblage of 28 hominin individuals, found in Sima de los Huesos in the Sierra de Atapuerca in Spain, has recently been dated to approximately 430,000 years ago. An interesting question is how these Middle Pleistocene hominins were related to those who lived in the Late Pleistocene epoch, in particular to Neanderthals in western Eurasia and to Denisovans, a sister group of Neanderthals so far known only from southern Siberia. While the Sima de los Huesos hominins share some derived morphological features with Neanderthals, the mitochondrial genome retrieved from one individual from Sima de los Huesos is more closely related to the mitochondrial DNA of Denisovans than to that of Neanderthals. However, since the mitochondrial DNA does not reveal the full picture of relationships among populations, we have investigated DNA preservation in several individuals found at Sima de los Huesos. Here we recover nuclear DNA sequences from two specimens, which show that the Sima de los Huesos hominins were related to Neanderthals rather than to Denisovans, indicating that the population divergence between Neanderthals and Denisovans predates 430,000 years ago. A mitochondrial DNA recovered from one of the specimens shares the previously described relationship to Denisovan mitochondrial DNAs, suggesting, among other possibilities, that the mitochondrial DNA gene pool of Neanderthals turned over later in their history.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Meyer, Matthias -- Arsuaga, Juan-Luis -- de Filippo, Cesare -- Nagel, Sarah -- Aximu-Petri, Ayinuer -- Nickel, Birgit -- Martinez, Ignacio -- Gracia, Ana -- Bermudez de Castro, Jose Maria -- Carbonell, Eudald -- Viola, Bence -- Kelso, Janet -- Prufer, Kay -- Paabo, Svante -- England -- Nature. 2016 Mar 24;531(7595):504-7. doi: 10.1038/nature17405. Epub 2016 Mar 14.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany. ; Centro de Investigacion Sobre la Evolucion y Comportamiento Humanos, Universidad Complutense de Madrid-Instituto de Salud Carlos III, 28029 Madrid, Spain. ; Departamento de Paleontologia, Facultad de Ciencias Geologicas, Universidad Complutense de Madrid, 28040 Madrid, Spain. ; Area de Paleontologia, Departamento de Geografia y Geologia, Universidad de Alcala, Alcala de Henares, 28871 Madrid, Spain. ; Centro Nacional de Investigacion sobre la Evolucion Humana, Paseo Sierra de Atapuerca, 09002 Burgos, Spain. ; Institut Catala de Paleoecologia Humana i Evolucio Social, C/Marcel.li Domingo s/n (Edifici W3), Campus Sescelades, 43007 Tarragona, Spain. ; Area de Prehistoria, Departament d'Historia i Historia de l'Art, Universitat Rovira i Virgili, Facultat de Lletres, Avinguda de Catalunya, 35, 43002 Tarragona, Spain. ; Department of Anthropology, University of Toronto, 19 Russell Street, Toronto, Ontario M5S 2S2, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26976447" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Animals ; DNA, Mitochondrial/genetics ; Fossils ; Genome, Mitochondrial/genetics ; Hominidae/classification/*genetics ; Male ; Neanderthals/classification/genetics ; *Phylogeny ; Sequence Alignment ; Spain
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
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  • 4
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    Ice Cloud Backscatter Study and Comparison with CALIPSO and MODIS Satellite Data (2016)
    In:  Other Sources
    Details
    Publication Date: 2019-07-13
    Description: An invariant imbedding T-matrix (II-TM) method is used to calculate the single-scattering properties of 8-column aggregate ice crystals. The II-TM based backscatter values are compared with those calculated by the improved geometric-optics method (IGOM) to refine the backscattering properties of the ice cloud radiative model used in the MODIS Collection 6 cloud optical property product. The integrated attenuated backscatter-to-cloud optical depth (IAB-ICOD) relation is derived from simulations using a CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite) lidar simulator based on a Monte Carlo radiative transfer model. By comparing the simulation results and co-located CALIPSO and MODIS (Moderate Resolution Imaging Spectroradiometer) observations, the non-uniform zonal distribution of ice clouds over ocean is characterized in terms of a mixture of smooth and rough ice particles. The percentage of the smooth particles is approximately 6 percent and 9 percent for tropical and mid-latitude ice clouds, respectively.
    Keywords: Earth Resources and Remote Sensing; Meteorology and Climatology
    Type: OSA No. 253394 , GSFC-E-DAA-TN31061 , Optics Express (e-ISSN 1094-4087); 24; 1 Witer; 620
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  • 5
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    Cirrus Cloud Optical and Microphysical Property Retrievals from eMAS During SEAC4RS Using Bi-Spectral Reflectance Measurements Within the 1.88 micron Water Vapor Absorption Band (2016)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: Previous bi-spectral imager retrievals of cloud optical thickness (COT) and effective particle radius (CER) based on the Nakajima and King (1990) approach, such as those of the operational MODIS cloud optical property retrieval product (MOD06), have typically paired a non-absorbing visible or near-infrared wavelength, sensitive to COT, with an absorbing shortwave or midwave infrared wavelength sensitive to CER. However, in practice it is only necessary to select two spectral channels that exhibit a strong contrast in cloud particle absorption. Here it is shown, using eMAS observations obtained during NASAs SEAC4RS field campaign, that selecting two absorbing wavelength channels within the broader 1.88 micron water vapor absorption band, namely the 1.83 and 1.93 micron channels that have sufficient differences in ice crystal single scattering albedo, can yield COT and CER retrievals for thin to moderately thick single-layer cirrus that are reasonably consistent with other solar and IR imager-based and lidar-based retrievals. A distinct advantage of this channel selection for cirrus cloud retrievals is that the below cloud water vapor absorption minimizes the surface contribution to measured cloudy TOA reflectance, in particular compared to the solar window channels used in heritage retrievals such as MOD06. This reduces retrieval uncertainty resulting from errors in the surface reflectance assumption, as well as reduces the frequency of retrieval failures for thin cirrus clouds.
    Keywords: Earth Resources and Remote Sensing; Meteorology and Climatology
    Type: GSFC-E-DAA-TN41878 , Atmospheric Measurement Techniques (ISSN 1867-1381) (e-ISSN 1867-8548); 9; 4; 1743-1753
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  • 6
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    Uncertainties in Cloud Phase and Optical Thickness Retrievals from the Earth Polychromatic Imaging Camera (EPIC) (2016)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: This paper presents an investigation of the expected uncertainties of a single channel cloud optical thickness (COT) retrieval technique, as well as a simple cloud-temperature-threshold-based thermodynamic phase approach, in support of the Deep Space Climate Observatory (DSCOVR) mission. DSCOVR cloud products will be derived from Earth Polychromatic Imaging Camera (EPIC) observations in the ultraviolet and visible spectra. Since EPIC is not equipped with a spectral channel in the shortwave or mid-wave infrared that is sensitive to cloud effective radius (CER), COT will be inferred from a single visible channel with the assumption of appropriate CER values for liquid and ice phase clouds. One month of Aqua MODIS daytime granules from April 2005 is selected for investigating cloud phase sensitivity, and a subset of these granules that has similar EPIC sun-view geometry is selected for investigating COT uncertainties. EPIC COT retrievals are simulated with the same algorithm as the operational MODIS cloud products (MOD06), except using fixed phase-dependent CER values. Uncertainty estimates are derived by comparing the single channel COT retrievals with the baseline bi-spectral MODIS retrievals. Results show that a single channel COT retrieval is feasible for EPIC. For ice clouds, single channel retrieval errors are minimal (less than 2 percent) due to the particle- size insensitivity of the assumed ice crystal (i.e., severely roughened aggregate of hexagonal columns) scattering properties at visible wavelengths, while for liquid clouds the error is mostly limited to within 10 percent, although for thin clouds (COT less than 2) the error can be higher. Potential uncertainties in EPIC cloud masking and cloud temperature retrievals are not considered in this study.
    Keywords: Earth Resources and Remote Sensing; Meteorology and Climatology
    Type: GSFC-E-DAA-TN41149 , Atmospheric Measurement Techniques Discussions (e-ISSN 1867-8610); 9; 4; 1785-1797
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  • 7
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    Retrieval of Ice Cloud Properties Using an Optimal Estimation Algorithm and MODIS Infrared Observations. Part I: Forward Model, Error Analysis, and Information Content (2016)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: An optimal estimation (OE) retrieval method is developed to infer three ice cloud properties simultaneously: optical thickness (tau), effective radius (r(sub eff)), and cloud top height (h). This method is based on a fast radiative transfer (RT) model and infrared (IR) observations from the MODerate resolution Imaging Spectroradiometer (MODIS). This study conducts thorough error and information content analyses to understand the error propagation and performance of retrievals from various MODIS band combinations under different cloud/atmosphere states. Specifically, the algorithm takes into account four error sources: measurement uncertainty, fast RT model uncertainty, uncertainties in ancillary data sets (e.g., atmospheric state), and assumed ice crystal habit uncertainties. It is found that the ancillary and ice crystal habit error sources dominate the MODIS IR retrieval uncertainty and cannot be ignored. The information content analysis shows that for a given ice cloud, the use of four MODIS IR observations is sufficient to retrieve the three cloud properties. However, the selection of MODIS IR bands that provide the most information and their order of importance varies with both the ice cloud properties and the ambient atmospheric and the surface states. As a result, this study suggests the inclusion of all MODIS IR bands in practice since little a priori information is available.
    Keywords: Earth Resources and Remote Sensing; Meteorology and Climatology
    Type: GSFC-E-DAA-TN41873 , Journal of Geophysical Research: Atmospheres (ISSN 2169-897X) (e-ISSN 2169-8996); 121; 10; 5809–5826
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  • 8
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    Retrieval of Ice Cloud Properties Using an Optimal Estimation Algorithm and MODIS Infrared Observations. Part I: Forward Model, Error Analysis, and Information Content (2016)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: An optimal estimation (OE) retrieval method is developed to infer three ice cloud properties simultaneously: optical thickness (tau), effective radius (r(sub eff)), and cloud-top height (h). This method is based on a fast radiative transfer (RT) model and infrared (IR) observations from the MODerate resolution Imaging Spectroradiometer (MODIS). This study conducts thorough error and information content analyses to understand the error propagation and performance of retrievals from various MODIS band combinations under different cloud/atmosphere states. Specifically, the algorithm takes into account four error sources: measurement uncertainty, fast RT model uncertainty, uncertainties in ancillary datasets (e.g., atmospheric state), and assumed ice crystal habit uncertainties. It is found that the ancillary and ice crystal habit error sources dominate the MODIS IR retrieval uncertainty and cannot be ignored. The information content analysis shows that, for a given ice cloud, the use of four MODIS IR observations is sufficient to retrieve the three cloud properties. However, the selection of MODIS IR bands that provide the most information and their order of importance varies with both the ice cloud properties and the ambient atmospheric and the surface states. As a result, this study suggests the inclusion of all MODIS IR bands in practice since little a priori information is available.
    Keywords: Earth Resources and Remote Sensing; Meteorology and Climatology
    Type: GSFC-E-DAA-TN36098 , Journal of Geophysical Research: Atmospheres (ISSN 2169-897X) (e-ISSN 2169-8996); 121; 10; 5809-5826
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