ALBERT

Description: Article Insect wings are under multiple competing selection pressures, but which are important in natural populations is not clear. Using RNAi to modify wing shape, Ray et al. show that aerial agility can be significantly enhanced in Drosophila , suggesting that natural variation does not reflect an optimization solely for flight agility. Nature Communications doi: 10.1038/ncomms10851 Authors: Robert P. Ray, Toshiyuki Nakata, Per Henningsson, Richard J. Bomphrey

Description: The origin of the near-infrared (NIR) H i emission lines in young stellar objects are not yet understood. To probe it, we present multi-epoch LBT-LUCIFER spectroscopic observations of the Pa, Paβ, and Br lines observed in the Herbig star VV Ser, along with Very Large Telescope Interferometer-AMBER Br spectro-interferometric observations at medium resolution. Our spectroscopic observations show line profile variability in all the H i lines. The strongest variability is observed in the redshifted part of the line profiles. The Br spectro-interferometric observations indicate that the Br line emitting region is smaller than the continuum emitting region. To interpret our results, we employed radiative transfer models with three different flow configurations: magnetospheric accretion, a magnetocentrifugally driven disc wind, and a schematic bipolar outflow. Our models suggest that the H i line emission in VV Ser is dominated by the contribution of an extended wind, perhaps a bipolar outflow. Although the exact physical process for producing such outflow is not known, this model is capable of reproducing the averaged single-peaked line profiles of the H i lines. Additionally, the observed visibilities, differential and closure phases are best reproduced when a wind is considered. Nevertheless, the complex line profiles and variability could be explained by changes in the relative contribution of the magnetosphere and/or winds to the line emission. This might indicate that the NIR H i lines are formed in a complex inner disc region where inflow and outflow components might coexist. Furthermore, the contribution of each of these mechanisms to the line appears time variable, suggesting a non-steady accretion/ejection flow.

Description: 〈p〉Wearable sweat sensors rely either on electronics for electrochemical detection or on colorimetry for visual readout. Non-ideal form factors represent disadvantages of the former, while semiquantitative operation and narrow scope of measurable biomarkers characterize the latter. Here, we introduce a battery-free, wireless electronic sensing platform inspired by biofuel cells that integrates chronometric microfluidic platforms with embedded colorimetric assays. The resulting sensors combine advantages of electronic and microfluidic functionality in a platform that is significantly lighter, cheaper, and smaller than alternatives. A demonstration device simultaneously monitors sweat rate/loss, pH, lactate, glucose, and chloride. Systematic studies of the electronics, microfluidics, and integration schemes establish the key design considerations and performance attributes. Two-day human trials that compare concentrations of glucose and lactate in sweat and blood suggest a potential basis for noninvasive, semi-quantitative tracking of physiological status.〈/p〉

Description: We present the results of a pathfinder project conducted with the Giant Metrewave Radio Telescope (GMRT) to investigate protostellar systems at low radio frequencies. The goal of these investigations is to locate the break in the free–free spectrum where the optical depth equals unity in order to constrain physical parameters of these systems, such as the mass of the ionized gas surrounding these young stars. We detect all three target sources, L1551 IRS 5 (Class I), T Tau and DG Tau (Class II), at frequencies 323 and 608 MHz (wavelengths 90 and 50 cm, respectively). These are the first detections of low-mass young stellar objects at such low frequencies. We combine these new GMRT data with archival information to construct the spectral energy distributions for each system and find a continuation of the optically thin free–free spectra extrapolated from higher radio frequencies to 323 MHz for each target. We use these results to place limits on the masses of the ionized gas and average electron densities associated with these young systems on scales of ~1000 au. Future observations with higher angular resolution at lower frequencies are required to constrain these physical parameters further.

Description: Allelic differences between the two homologous chromosomes can affect the propensity of inheritance in humans; however, the extent of such differences in the human genome has yet to be fully explored. Here we delineate allelic chromatin modifications and transcriptomes among a broad set of human tissues, enabled by a chromosome-spanning haplotype reconstruction strategy. The resulting large collection of haplotype-resolved epigenomic maps reveals extensive allelic biases in both chromatin state and transcription, which show considerable variation across tissues and between individuals, and allow us to investigate cis-regulatory relationships between genes and their control sequences. Analyses of histone modification maps also uncover intriguing characteristics of cis-regulatory elements and tissue-restricted activities of repetitive elements. The rich data sets described here will enhance our understanding of the mechanisms by which cis-regulatory elements control gene expression programs.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4449149/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4449149/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Leung, Danny -- Jung, Inkyung -- Rajagopal, Nisha -- Schmitt, Anthony -- Selvaraj, Siddarth -- Lee, Ah Young -- Yen, Chia-An -- Lin, Shin -- Lin, Yiing -- Qiu, Yunjiang -- Xie, Wei -- Yue, Feng -- Hariharan, Manoj -- Ray, Pradipta -- Kuan, Samantha -- Edsall, Lee -- Yang, Hongbo -- Chi, Neil C -- Zhang, Michael Q -- Ecker, Joseph R -- Ren, Bing -- ES017166/ES/NIEHS NIH HHS/ -- F32 HL110473/HL/NHLBI NIH HHS/ -- F32HL110473/HL/NHLBI NIH HHS/ -- K99 HL119617/HL/NHLBI NIH HHS/ -- K99HL119617/HL/NHLBI NIH HHS/ -- R01 ES024984/ES/NIEHS NIH HHS/ -- T32 GM008666/GM/NIGMS NIH HHS/ -- U01 ES017166/ES/NIEHS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2015 Feb 19;518(7539):350-4. doi: 10.1038/nature14217.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Ludwig Institute for Cancer Research, La Jolla, California 92093, USA. ; 1] Department of Genetics, Stanford University, 300 Pasteur Drive, M-344 Stanford, California 94305, USA [2] Department of Cardiovascular Medicine, Stanford University, Falk Building, 870 Quarry Road Stanford, California 94304, USA. ; 1] Department of Genetics, Stanford University, 300 Pasteur Drive, M-344 Stanford, California 94305, USA [2] Department of Surgery, Washington University School of Medicine, 660 S. Euclid Ave, Campus Box 8109, St Louis, Missouri 63110, USA. ; Tsinghua University-Peking University Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China. ; Department of Biochemistry and Molecular Biology, College of Medicine, The Pennsylvania State University, Hershey, Pennsylvania 17033, USA. ; Genomic Analysis Laboratory, Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, California 92093, USA. ; Biological Sciences, Center for Systems Biology, The University of Texas at Dallas, Richardson, Texas 75080, USA. ; Department of Medicine, Division of Cardiology, University of California, San Diego, California 92093-0613, USA. ; 1] Department of Medicine, Division of Cardiology, University of California, San Diego, California 92093-0613, USA [2] Institute of Genomic Medicine, University of California, San Diego, California 92093, USA. ; 1] Biological Sciences, Center for Systems Biology, The University of Texas at Dallas, Richardson, Texas 75080, USA [2] Bioinformatics Division, Center for Synthetic and Systems Biology, TNLIST Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China. ; 1] Ludwig Institute for Cancer Research, La Jolla, California 92093, USA [2] Institute of Genomic Medicine, University of California, San Diego, California 92093, USA [3] Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, California 92093, USA [4] UCSD Moores Cancer Center, University of California San Diego, La Jolla, California 92093, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25693566" target="_blank"〉PubMed〈/a〉

Description: The reference human genome sequence set the stage for studies of genetic variation and its association with human disease, but epigenomic studies lack a similar reference. To address this need, the NIH Roadmap Epigenomics Consortium generated the largest collection so far of human epigenomes for primary cells and tissues. Here we describe the integrative analysis of 111 reference human epigenomes generated as part of the programme, profiled for histone modification patterns, DNA accessibility, DNA methylation and RNA expression. We establish global maps of regulatory elements, define regulatory modules of coordinated activity, and their likely activators and repressors. We show that disease- and trait-associated genetic variants are enriched in tissue-specific epigenomic marks, revealing biologically relevant cell types for diverse human traits, and providing a resource for interpreting the molecular basis of human disease. Our results demonstrate the central role of epigenomic information for understanding gene regulation, cellular differentiation and human disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4530010/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4530010/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Roadmap Epigenomics Consortium -- Kundaje, Anshul -- Meuleman, Wouter -- Ernst, Jason -- Bilenky, Misha -- Yen, Angela -- Heravi-Moussavi, Alireza -- Kheradpour, Pouya -- Zhang, Zhizhuo -- Wang, Jianrong -- Ziller, Michael J -- Amin, Viren -- Whitaker, John W -- Schultz, Matthew D -- Ward, Lucas D -- Sarkar, Abhishek -- Quon, Gerald -- Sandstrom, Richard S -- Eaton, Matthew L -- Wu, Yi-Chieh -- Pfenning, Andreas R -- Wang, Xinchen -- Claussnitzer, Melina -- Liu, Yaping -- Coarfa, Cristian -- Harris, R Alan -- Shoresh, Noam -- Epstein, Charles B -- Gjoneska, Elizabeta -- Leung, Danny -- Xie, Wei -- Hawkins, R David -- Lister, Ryan -- Hong, Chibo -- Gascard, Philippe -- Mungall, Andrew J -- Moore, Richard -- Chuah, Eric -- Tam, Angela -- Canfield, Theresa K -- Hansen, R Scott -- Kaul, Rajinder -- Sabo, Peter J -- Bansal, Mukul S -- Carles, Annaick -- Dixon, Jesse R -- Farh, Kai-How -- Feizi, Soheil -- Karlic, Rosa -- Kim, Ah-Ram -- Kulkarni, Ashwinikumar -- Li, Daofeng -- Lowdon, Rebecca -- Elliott, GiNell -- Mercer, Tim R -- Neph, Shane J -- Onuchic, Vitor -- Polak, Paz -- Rajagopal, Nisha -- Ray, Pradipta -- Sallari, Richard C -- Siebenthall, Kyle T -- Sinnott-Armstrong, Nicholas A -- Stevens, Michael -- Thurman, Robert E -- Wu, Jie -- Zhang, Bo -- Zhou, Xin -- Beaudet, Arthur E -- Boyer, Laurie A -- De Jager, Philip L -- Farnham, Peggy J -- Fisher, Susan J -- Haussler, David -- Jones, Steven J M -- Li, Wei -- Marra, Marco A -- McManus, Michael T -- Sunyaev, Shamil -- Thomson, James A -- Tlsty, Thea D -- Tsai, Li-Huei -- Wang, Wei -- Waterland, Robert A -- Zhang, Michael Q -- Chadwick, Lisa H -- Bernstein, Bradley E -- Costello, Joseph F -- Ecker, Joseph R -- Hirst, Martin -- Meissner, Alexander -- Milosavljevic, Aleksandar -- Ren, Bing -- Stamatoyannopoulos, John A -- Wang, Ting -- Kellis, Manolis -- 5R24HD000836/HD/NICHD NIH HHS/ -- ES017166/ES/NIEHS NIH HHS/ -- F32 HL110473/HL/NHLBI NIH HHS/ -- F32HL110473/HL/NHLBI NIH HHS/ -- K99 HL119617/HL/NHLBI NIH HHS/ -- K99HL119617/HL/NHLBI NIH HHS/ -- P01 DA008227/DA/NIDA NIH HHS/ -- P30AG10161/AG/NIA NIH HHS/ -- P50 MH096890/MH/NIMH NIH HHS/ -- R01 AG015819/AG/NIA NIH HHS/ -- R01 AG017917/AG/NIA NIH HHS/ -- R01 ES024984/ES/NIEHS NIH HHS/ -- R01 ES024992/ES/NIEHS NIH HHS/ -- R01 HG004037/HG/NHGRI NIH HHS/ -- R01 HG007175/HG/NHGRI NIH HHS/ -- R01 HG007354/HG/NHGRI NIH HHS/ -- R01AG15819/AG/NIA NIH HHS/ -- R01AG17917/AG/NIA NIH HHS/ -- R01HG004037/HG/NHGRI NIH HHS/ -- R01HG004037-S1/HG/NHGRI NIH HHS/ -- R01NS078839/NS/NINDS NIH HHS/ -- RC1HG005334/HG/NHGRI NIH HHS/ -- RF1 AG015819/AG/NIA NIH HHS/ -- T32 ES007032/ES/NIEHS NIH HHS/ -- T32 GM007198/GM/NIGMS NIH HHS/ -- T32 GM007266/GM/NIGMS NIH HHS/ -- T32 GM081739/GM/NIGMS NIH HHS/ -- U01 ES017154/ES/NIEHS NIH HHS/ -- U01AG46152/AG/NIA NIH HHS/ -- U01DA025956/DA/NIDA NIH HHS/ -- U01ES017154/ES/NIEHS NIH HHS/ -- U01ES017155/ES/NIEHS NIH HHS/ -- U01ES017156/ES/NIEHS NIH HHS/ -- U01ES017166/ES/NIEHS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2015 Feb 19;518(7539):317-30. doi: 10.1038/nature14248.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [3] Department of Genetics, Department of Computer Science, 300 Pasteur Dr., Lane Building, L301, Stanford, California 94305-5120, USA. ; 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. ; 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [3] Department of Biological Chemistry, University of California, Los Angeles, 615 Charles E Young Dr South, Los Angeles, California 90095, USA. ; Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada. ; 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] Department of Stem Cell and Regenerative Biology, 7 Divinity Ave, Cambridge, Massachusetts 02138, USA. ; Epigenome Center, Baylor College of Medicine, One Baylor Plaza, Houston, Texas 77030, USA. ; Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, Moores Cancer Center, Department of Chemistry and Biochemistry, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA. ; Genomic Analysis Laboratory, Howard Hughes Medical Institute &The Salk Institute for Biological Studies, 10010 N. Torrey Pines Road, La Jolla, California 92037, USA. ; Department of Genome Sciences, University of Washington, 3720 15th Ave. NE, Seattle, Washington 98195, USA. ; 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [3] Biology Department, Massachusetts Institute of Technology, 31 Ames St, Cambridge, Massachusetts 02142, USA. ; The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. ; 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 43 Vassar St, Cambridge, Massachusetts 02139, USA. ; 1] Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, Moores Cancer Center, Department of Chemistry and Biochemistry, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA. [2] Ludwig Institute for Cancer Research, 9500 Gilman Drive, La Jolla, California 92093, USA. ; Department of Neurosurgery, Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, 1450 3rd Street, San Francisco, California 94158, USA. ; Department of Pathology, University of California San Francisco, 513 Parnassus Avenue, San Francisco, California 94143-0511, USA. ; Department of Medicine, Division of Medical Genetics, University of Washington, 2211 Elliot Avenue, Seattle, Washington 98121, USA. ; 1] Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA. [2] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [3] Department of Computer Science &Engineering, University of Connecticut, 371 Fairfield Way, Storrs, Connecticut 06269, USA. ; Department of Microbiology and Immunology and Centre for High-Throughput Biology, University of British Columbia, 2125 East Mall, Vancouver, British Columbia V6T 1Z4, Canada. ; Bioinformatics Group, Department of Molecular Biology, Division of Biology, Faculty of Science, University of Zagreb, Horvatovac 102a, 10000 Zagreb, Croatia. ; Department of Molecular and Cell Biology, Center for Systems Biology, The University of Texas, Dallas, NSERL, RL10, 800 W Campbell Road, Richardson, Texas 75080, USA. ; Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University in St Louis, 4444 Forest Park Ave, St Louis, Missouri 63108, USA. ; Institute for Molecular Bioscience, University of Queensland, St Lucia, Queensland 4072, Australia. ; 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] Brigham &Women's Hospital, 75 Francis Street, Boston, Massachusetts 02115, USA. ; 1] Department of Genetics, Center for Genome Sciences and Systems Biology, Washington University in St Louis, 4444 Forest Park Ave, St Louis, Missouri 63108, USA. [2] Department of Computer Science and Engineeering, Washington University in St. Louis, St. Louis, Missouri 63130, USA. ; 1] Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York 11794-3600, USA. [2] Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA. ; Molecular and Human Genetics Department, Baylor College of Medicine, One Baylor Plaza, Houston, Texas 77030, USA. ; Biology Department, Massachusetts Institute of Technology, 31 Ames St, Cambridge, Massachusetts 02142, USA. ; 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] Brigham &Women's Hospital, 75 Francis Street, Boston, Massachusetts 02115, USA. [3] Harvard Medical School, 25 Shattuck St, Boston, Massachusetts 02115, USA. ; Department of Biochemistry, Keck School of Medicine, University of Southern California, 1450 Biggy Street, Los Angeles, California 90089-9601, USA. ; ObGyn, Reproductive Sciences, University of California San Francisco, 35 Medical Center Way, San Francisco, California 94143, USA. ; Center for Biomolecular Sciences and Engineering, University of Santa Cruz, 1156 High Street, Santa Cruz, California 95064, USA. ; 1] Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada. [2] Department of Molecular Biology and Biochemistry, Simon Fraser University, 8888 University Drive, Burnaby, British Columbia V5A 1S6, Canada. [3] Department of Medical Genetics, University of British Columbia, 2329 West Mall, Vancouver, BC, Canada, V6T 1Z4. ; Dan L. Duncan Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, Texas 77030, USA. ; 1] Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada. [2] Department of Medical Genetics, University of British Columbia, 2329 West Mall, Vancouver, BC, Canada, V6T 1Z4. ; Department of Microbiology and Immunology, Diabetes Center, University of California, San Francisco, 513 Parnassus Ave, San Francisco, California 94143-0534, USA. ; 1] University of Wisconsin, Madison, Wisconsin 53715, USA. [2] Morgridge Institute for Research, 330 N. Orchard Street, Madison, Wisconsin 53707, USA. ; USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, 1100 Bates Street, Houston, Texas 77030, USA. ; 1] Department of Molecular and Cell Biology, Center for Systems Biology, The University of Texas, Dallas, NSERL, RL10, 800 W Campbell Road, Richardson, Texas 75080, USA. [2] Bioinformatics Division, Center for Synthetic and Systems Biology, TNLIST, Tsinghua University, Beijing 100084, China. ; National Institute of Environmental Health Sciences, 111 T.W. Alexander Drive, Research Triangle Park, North Carolina 27709, USA. ; 1] The Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, Massachusetts 02142, USA. [2] Massachusetts General Hospital, 55 Fruit St, Boston, Massachusetts 02114, USA. [3] Howard Hughes Medical Institute, 4000 Jones Bridge Road, Chevy Chase, Maryland 20815-6789, USA. ; 1] Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver, British Columbia V5Z 1L3, Canada. [2] Department of Microbiology and Immunology and Centre for High-Throughput Biology, University of British Columbia, 2125 East Mall, Vancouver, British Columbia V6T 1Z4, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25693563" target="_blank"〉PubMed〈/a〉

Description: Resistance to checkpoint blockade therapy through inactivation of antigen presentation Nature Communications, Published online: 26 October 2017; doi:10.1038/s41467-017-01062-w Resistance to immune-checkpoint blockade often occurs in treated patients. Here, the authors demonstrate that B2M loss is a mechanism of primary and acquired resistance to therapies targeting CTLA4 or PD-1 in melanoma patients.

Description: Gene expression is controlled by sequence-specific transcription factors (TFs), which bind to regulatory sequences in DNA. TF binding occurs in nucleosome-depleted regions of DNA (NDRs), which generally encompass regions with lengths similar to those protected by nucleosomes. However, less is known about where within these regions specific TFs tend to...

Description: Anisotropic dark energy cosmological models have been constructed in a Bianchi V space-time, with the energy momentum tensor consisting of two noninteracting fluids, namely, bulk viscous fluid and dark energy fluid. Two different models are constructed based on the power law cosmology and de Sitter universe. The constructed model was also embedded with different pressure gradients along different spatial directions. The variable equation of state (EoS) parameter and skewness parameters for both models are obtained and analysed. The physical properties of the models obtained with the use of scale factors of power law and de Sitter law are also presented.

Description: Nature Physics 13, 276 (2017). doi:10.1038/nphys3942 Authors: A. Caratti o Garatti, B. Stecklum, R. Garcia Lopez, J. Eislöffel, T. P. Ray, A. Sanna, R. Cesaroni, C. M. Walmsley, R. D. Oudmaijer, W. J. de Wit, L. Moscadelli, J. Greiner, A. Krabbe, C. Fischer, R. Klein & J. M. Ibañez Solar-mass stars form via disk-mediated accretion. Recent findings indicate that this process is probably episodic in the form of accretion bursts, possibly caused by disk fragmentation. Although it cannot be ruled out that high-mass young stellar objects arise from the coalescence of their low-mass brethren, the latest results suggest that they more likely form via disks. It follows that disk-mediated accretion bursts should occur. Here we report on the discovery of the first disk-mediated accretion burst from a roughly twenty-solar-mass high-mass young stellar object. Our near-infrared images show the brightening of the central source and its outflow cavities. Near-infrared spectroscopy reveals emission lines typical for accretion bursts in low-mass protostars, but orders of magnitude more luminous. Moreover, the released energy and the inferred mass-accretion rate are also orders of magnitude larger. Our results identify disk-accretion as the common mechanism of star formation across the entire stellar mass spectrum.