ALBERT

Description: Behaviour is governed by activity in highly structured neural circuits. Genetically targeted sensors and switches facilitate measurement and manipulation of activity in vivo, linking activity in defined nodes of neural circuits to behaviour. Because of access to specific cell types, these molecular tools will have the largest impact in genetic model systems such as the mouse. Emerging assays of mouse behaviour are beginning to rival those of behaving monkeys in terms of stimulus and behavioural control. We predict that the confluence of new behavioural and molecular tools in the mouse will reveal the logic of complex mammalian circuits.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉O'Connor, Daniel H -- Huber, Daniel -- Svoboda, Karel -- Howard Hughes Medical Institute/ -- England -- Nature. 2009 Oct 15;461(7266):923-9. doi: 10.1038/nature08539.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Janelia Farm Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, Virginia 20147, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19829372" target="_blank"〉PubMed〈/a〉

Description: Infectious and inflammatory diseases have repeatedly shown strong genetic associations within the major histocompatibility complex (MHC); however, the basis for these associations remains elusive. To define host genetic effects on the outcome of a chronic viral infection, we performed genome-wide association analysis in a multiethnic cohort of HIV-1 controllers and progressors, and we analyzed the effects of individual amino acids within the classical human leukocyte antigen (HLA) proteins. We identified 〉300 genome-wide significant single-nucleotide polymorphisms (SNPs) within the MHC and none elsewhere. Specific amino acids in the HLA-B peptide binding groove, as well as an independent HLA-C effect, explain the SNP associations and reconcile both protective and risk HLA alleles. These results implicate the nature of the HLA-viral peptide interaction as the major factor modulating durable control of HIV infection.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3235490/" 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/PMC3235490/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉International HIV Controllers Study -- Pereyra, Florencia -- Jia, Xiaoming -- McLaren, Paul J -- Telenti, Amalio -- de Bakker, Paul I W -- Walker, Bruce D -- Ripke, Stephan -- Brumme, Chanson J -- Pulit, Sara L -- Carrington, Mary -- Kadie, Carl M -- Carlson, Jonathan M -- Heckerman, David -- Graham, Robert R -- Plenge, Robert M -- Deeks, Steven G -- Gianniny, Lauren -- Crawford, Gabriel -- Sullivan, Jordan -- Gonzalez, Elena -- Davies, Leela -- Camargo, Amy -- Moore, Jamie M -- Beattie, Nicole -- Gupta, Supriya -- Crenshaw, Andrew -- Burtt, Noel P -- Guiducci, Candace -- Gupta, Namrata -- Gao, Xiaojiang -- Qi, Ying -- Yuki, Yuko -- Piechocka-Trocha, Alicja -- Cutrell, Emily -- Rosenberg, Rachel -- Moss, Kristin L -- Lemay, Paul -- O'Leary, Jessica -- Schaefer, Todd -- Verma, Pranshu -- Toth, Ildiko -- Block, Brian -- Baker, Brett -- Rothchild, Alissa -- Lian, Jeffrey -- Proudfoot, Jacqueline -- Alvino, Donna Marie L -- Vine, Seanna -- Addo, Marylyn M -- Allen, Todd M -- Altfeld, Marcus -- Henn, Matthew R -- Le Gall, Sylvie -- Streeck, Hendrik -- Haas, David W -- Kuritzkes, Daniel R -- Robbins, Gregory K -- Shafer, Robert W -- Gulick, Roy M -- Shikuma, Cecilia M -- Haubrich, Richard -- Riddler, Sharon -- Sax, Paul E -- Daar, Eric S -- Ribaudo, Heather J -- Agan, Brian -- Agarwal, Shanu -- Ahern, Richard L -- Allen, Brady L -- Altidor, Sherly -- Altschuler, Eric L -- Ambardar, Sujata -- Anastos, Kathryn -- Anderson, Ben -- Anderson, Val -- Andrady, Ushan -- Antoniskis, Diana -- Bangsberg, David -- Barbaro, Daniel -- Barrie, William -- Bartczak, J -- Barton, Simon -- Basden, Patricia -- Basgoz, Nesli -- Bazner, Suzane -- Bellos, Nicholaos C -- Benson, Anne M -- Berger, Judith -- Bernard, Nicole F -- Bernard, Annette M -- Birch, Christopher -- Bodner, Stanley J -- Bolan, Robert K -- Boudreaux, Emilie T -- Bradley, Meg -- Braun, James F -- Brndjar, Jon E -- Brown, Stephen J -- Brown, Katherine -- Brown, Sheldon T -- Burack, Jedidiah -- Bush, Larry M -- Cafaro, Virginia -- Campbell, Omobolaji -- Campbell, John -- Carlson, Robert H -- Carmichael, J Kevin -- Casey, Kathleen K -- Cavacuiti, Chris -- Celestin, Gregory -- Chambers, Steven T -- Chez, Nancy -- Chirch, Lisa M -- Cimoch, Paul J -- Cohen, Daniel -- Cohn, Lillian E -- Conway, Brian -- Cooper, David A -- Cornelson, Brian -- Cox, David T -- Cristofano, Michael V -- Cuchural, George Jr -- Czartoski, Julie L -- Dahman, Joseph M -- Daly, Jennifer S -- Davis, Benjamin T -- Davis, Kristine -- Davod, Sheila M -- DeJesus, Edwin -- Dietz, Craig A -- Dunham, Eleanor -- Dunn, Michael E -- Ellerin, Todd B -- Eron, Joseph J -- Fangman, John J W -- Farel, Claire E -- Ferlazzo, Helen -- Fidler, Sarah -- Fleenor-Ford, Anita -- Frankel, Renee -- Freedberg, Kenneth A -- French, Neel K -- Fuchs, Jonathan D -- Fuller, Jon D -- Gaberman, Jonna -- Gallant, Joel E -- Gandhi, Rajesh T -- Garcia, Efrain -- Garmon, Donald -- Gathe, Joseph C Jr -- Gaultier, Cyril R -- Gebre, Wondwoosen -- Gilman, Frank D -- Gilson, Ian -- Goepfert, Paul A -- Gottlieb, Michael S -- Goulston, Claudia -- Groger, Richard K -- Gurley, T Douglas -- Haber, Stuart -- Hardwicke, Robin -- Hardy, W David -- Harrigan, P Richard -- Hawkins, Trevor N -- Heath, Sonya -- Hecht, Frederick M -- Henry, W Keith -- Hladek, Melissa -- Hoffman, Robert P -- Horton, James M -- Hsu, Ricky K -- Huhn, Gregory D -- Hunt, Peter -- Hupert, Mark J -- Illeman, Mark L -- Jaeger, Hans -- Jellinger, Robert M -- John, Mina -- Johnson, Jennifer A -- Johnson, Kristin L -- Johnson, Heather -- Johnson, Kay -- Joly, Jennifer -- Jordan, Wilbert C -- Kauffman, Carol A -- Khanlou, Homayoon -- Killian, Robert K -- Kim, Arthur Y -- Kim, David D -- Kinder, Clifford A -- Kirchner, Jeffrey T -- Kogelman, Laura -- Kojic, Erna Milunka -- Korthuis, P Todd -- Kurisu, Wayne -- Kwon, Douglas S -- LaMar, Melissa -- Lampiris, Harry -- Lanzafame, Massimiliano -- Lederman, Michael M -- Lee, David M -- Lee, Jean M L -- Lee, Marah J -- Lee, Edward T Y -- Lemoine, Janice -- Levy, Jay A -- Llibre, Josep M -- Liguori, Michael A -- Little, Susan J -- Liu, Anne Y -- Lopez, Alvaro J -- Loutfy, Mono R -- Loy, Dawn -- Mohammed, Debbie Y -- Man, Alan -- Mansour, Michael K -- Marconi, Vincent C -- Markowitz, Martin -- Marques, Rui -- Martin, Jeffrey N -- Martin, Harold L Jr -- Mayer, Kenneth Hugh -- McElrath, M Juliana -- McGhee, Theresa A -- McGovern, Barbara H -- McGowan, Katherine -- McIntyre, Dawn -- Mcleod, Gavin X -- Menezes, Prema -- Mesa, Greg -- Metroka, Craig E -- Meyer-Olson, Dirk -- Miller, Andy O -- Montgomery, Kate -- Mounzer, Karam C -- Nagami, Ellen H -- Nagin, Iris -- Nahass, Ronald G -- Nelson, Margret O -- Nielsen, Craig -- Norene, David L -- O'Connor, David H -- Ojikutu, Bisola O -- Okulicz, Jason -- Oladehin, Olakunle O -- Oldfield, Edward C 3rd -- Olender, Susan A -- Ostrowski, Mario -- Owen, William F Jr -- Pae, Eunice -- Parsonnet, Jeffrey -- Pavlatos, Andrew M -- Perlmutter, Aaron M -- Pierce, Michael N -- Pincus, Jonathan M -- Pisani, Leandro -- Price, Lawrence Jay -- Proia, Laurie -- Prokesch, Richard C -- Pujet, Heather Calderon -- Ramgopal, Moti -- Rathod, Almas -- Rausch, Michael -- Ravishankar, J -- Rhame, Frank S -- Richards, Constance Shamuyarira -- Richman, Douglas D -- Rodes, Berta -- Rodriguez, Milagros -- Rose, Richard C 3rd -- Rosenberg, Eric S -- Rosenthal, Daniel -- Ross, Polly E -- Rubin, David S -- Rumbaugh, Elease -- Saenz, Luis -- Salvaggio, Michelle R -- Sanchez, William C -- Sanjana, Veeraf M -- Santiago, Steven -- Schmidt, Wolfgang -- Schuitemaker, Hanneke -- Sestak, Philip M -- Shalit, Peter -- Shay, William -- Shirvani, Vivian N -- Silebi, Vanessa I -- Sizemore, James M Jr -- Skolnik, Paul R -- Sokol-Anderson, Marcia -- Sosman, James M -- Stabile, Paul -- Stapleton, Jack T -- Starrett, Sheree -- Stein, Francine -- Stellbrink, Hans-Jurgen -- Sterman, F Lisa -- Stone, Valerie E -- Stone, David R -- Tambussi, Giuseppe -- Taplitz, Randy A -- Tedaldi, Ellen M -- Theisen, William -- Torres, Richard -- Tosiello, Lorraine -- Tremblay, Cecile -- Tribble, Marc A -- Trinh, Phuong D -- Tsao, Alice -- Ueda, Peggy -- Vaccaro, Anthony -- Valadas, Emilia -- Vanig, Thanes J -- Vecino, Isabel -- Vega, Vilma M -- Veikley, Wenoah -- Wade, Barbara H -- Walworth, Charles -- Wanidworanun, Chingchai -- Ward, Douglas J -- Warner, Daniel A -- Weber, Robert D -- Webster, Duncan -- Weis, Steve -- Wheeler, David A -- White, David J -- Wilkins, Ed -- Winston, Alan -- Wlodaver, Clifford G -- van't Wout, Angelique -- Wright, David P -- Yang, Otto O -- Yurdin, David L -- Zabukovic, Brandon W -- Zachary, Kimon C -- Zeeman, Beth -- Zhao, Meng -- AI030914/AI/NIAID NIH HHS/ -- AI068636/AI/NIAID NIH HHS/ -- AI069415/AI/NIAID NIH HHS/ -- AI069419/AI/NIAID NIH HHS/ -- AI069423/AI/NIAID NIH HHS/ -- AI069424/AI/NIAID NIH HHS/ -- AI069428/AI/NIAID NIH HHS/ -- AI069432/AI/NIAID NIH HHS/ -- AI069434/AI/NIAID NIH HHS/ -- AI069450/AI/NIAID NIH HHS/ -- AI069452/AI/NIAID NIH HHS/ -- AI069465/AI/NIAID NIH HHS/ -- AI069471/AI/NIAID NIH HHS/ -- AI069472/AI/NIAID NIH HHS/ -- AI069474/AI/NIAID NIH HHS/ -- AI069477/AI/NIAID NIH HHS/ -- AI069484/AI/NIAID NIH HHS/ -- AI069495/AI/NIAID NIH HHS/ -- AI069501/AI/NIAID NIH HHS/ -- AI069502/AI/NIAID NIH HHS/ -- AI069511/AI/NIAID NIH HHS/ -- AI069513/AI/NIAID NIH HHS/ -- AI069532/AI/NIAID NIH HHS/ -- AI069556/AI/NIAID NIH HHS/ -- AI077505/AI/NIAID NIH HHS/ -- AI087145/AI/NIAID NIH HHS/ -- AI25859/AI/NIAID NIH HHS/ -- AI27661/AI/NIAID NIH HHS/ -- AI28568/AI/NIAID NIH HHS/ -- AI30914/AI/NIAID NIH HHS/ -- AI34835/AI/NIAID NIH HHS/ -- AI34853/AI/NIAID NIH HHS/ -- AI38844/AI/NIAID NIH HHS/ -- AI46370/AI/NIAID NIH HHS/ -- AI68634/AI/NIAID NIH HHS/ -- AI69467/AI/NIAID NIH HHS/ -- AL32782/PHS HHS/ -- HHSN261200800001E/PHS HHS/ -- K23 DA019809/DA/NIDA NIH HHS/ -- K24 AI051966/AI/NIAID NIH HHS/ -- K24 AI064086/AI/NIAID NIH HHS/ -- K24 AI064086-05/AI/NIAID NIH HHS/ -- K24 AI069994/AI/NIAID NIH HHS/ -- K24 AI069994-04/AI/NIAID NIH HHS/ -- K24 AI069994-05/AI/NIAID NIH HHS/ -- K24AI069994/AI/NIAID NIH HHS/ -- KL2 RR024977/RR/NCRR NIH HHS/ -- MH071205/MH/NIMH NIH HHS/ -- MH085520/MH/NIMH NIH HHS/ -- P-30 AI27763/AI/NIAID NIH HHS/ -- P-30-AI060354/AI/NIAID NIH HHS/ -- P30 AI027763/AI/NIAID NIH HHS/ -- P30 AI027763-19/AI/NIAID NIH HHS/ -- P30 AI027763-20/AI/NIAID NIH HHS/ -- P30 AI050410/AI/NIAID NIH HHS/ -- P30 AI060354/AI/NIAID NIH HHS/ -- P30 AI060354-08/AI/NIAID NIH HHS/ -- P30 AI060354-09/AI/NIAID NIH HHS/ -- 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NIH HHS/ -- UM1 AI068634/AI/NIAID NIH HHS/ -- UM1 AI068634-06/AI/NIAID NIH HHS/ -- UM1 AI068634-07/AI/NIAID NIH HHS/ -- UM1 AI068636-06/AI/NIAID NIH HHS/ -- UM1 AI068636-07/AI/NIAID NIH HHS/ -- UM1 AI069477/AI/NIAID NIH HHS/ -- Howard Hughes Medical Institute/ -- Intramural NIH HHS/ -- New York, N.Y. -- Science. 2010 Dec 10;330(6010):1551-7. doi: 10.1126/science.1195271. Epub 2010 Nov 4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology (MIT) and Harvard, Boston, MA, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21051598" target="_blank"〉PubMed〈/a〉

Description: Active dendrites provide neurons with powerful processing capabilities. However, little is known about the role of neuronal dendrites in behaviourally related circuit computations. Here we report that a novel global dendritic nonlinearity is involved in the integration of sensory and motor information within layer 5 pyramidal neurons during an active sensing behaviour. Layer 5 pyramidal neurons possess elaborate dendritic arborizations that receive functionally distinct inputs, each targeted to spatially separate regions. At the cellular level, coincident input from these segregated pathways initiates regenerative dendritic electrical events that produce bursts of action potential output and circuits featuring this powerful dendritic nonlinearity can implement computations based on input correlation. To examine this in vivo we recorded dendritic activity in layer 5 pyramidal neurons in the barrel cortex using two-photon calcium imaging in mice performing an object-localization task. Large-amplitude, global calcium signals were observed throughout the apical tuft dendrites when active touch occurred at particular object locations or whisker angles. Such global calcium signals are produced by dendritic plateau potentials that require both vibrissal sensory input and primary motor cortex activity. These data provide direct evidence of nonlinear dendritic processing of correlated sensory and motor information in the mammalian neocortex during active sensation.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Xu, Ning-long -- Harnett, Mark T -- Williams, Stephen R -- Huber, Daniel -- O'Connor, Daniel H -- Svoboda, Karel -- Magee, Jeffrey C -- Howard Hughes Medical Institute/ -- England -- Nature. 2012 Dec 13;492(7428):247-51. doi: 10.1038/nature11601. Epub 2012 Nov 11.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Howard Hughes Medical Institute, Janelia Farm Research Campus, Ashburn, Virginia 20147, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23143335" target="_blank"〉PubMed〈/a〉

Description: The mechanisms linking sensation and action during learning are poorly understood. Layer 2/3 neurons in the motor cortex might participate in sensorimotor integration and learning; they receive input from sensory cortex and excite deep layer neurons, which control movement. Here we imaged activity in the same set of layer 2/3 neurons in the motor cortex over weeks, while mice learned to detect objects with their whiskers and report detection with licking. Spatially intermingled neurons represented sensory (touch) and motor behaviours (whisker movements and licking). With learning, the population-level representation of task-related licking strengthened. In trained mice, population-level representations were redundant and stable, despite dynamism of single-neuron representations. The activity of a subpopulation of neurons was consistent with touch driving licking behaviour. Our results suggest that ensembles of motor cortex neurons couple sensory input to multiple, related motor programs during learning.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4601999/" 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/PMC4601999/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Huber, D -- Gutnisky, D A -- Peron, S -- O'Connor, D H -- Wiegert, J S -- Tian, L -- Oertner, T G -- Looger, L L -- Svoboda, K -- Howard Hughes Medical Institute/ -- England -- Nature. 2012 Apr 25;484(7395):473-8. doi: 10.1038/nature11039.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Janelia Farm Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, Virginia 20147, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22538608" target="_blank"〉PubMed〈/a〉

Description: Cortical-feedback projections to primary sensory areas terminate most heavily in layer 1 (L1) of the neocortex, where they make synapses with tuft dendrites of pyramidal neurons. L1 input is thought to provide 'contextual' information, but the signals transmitted by L1 feedback remain uncharacterized. In the rodent somatosensory system, the spatially diffuse feedback projection from vibrissal motor cortex (vM1) to vibrissal somatosensory cortex (vS1, also known as the barrel cortex) may allow whisker touch to be interpreted in the context of whisker position to compute object location. When mice palpate objects with their whiskers to localize object features, whisker touch excites vS1 and later vM1 in a somatotopic manner. Here we use axonal calcium imaging to track activity in vM1--〉vS1 afferents in L1 of the barrel cortex while mice performed whisker-dependent object localization. Spatially intermingled individual axons represent whisker movements, touch and other behavioural features. In a subpopulation of axons, activity depends on object location and persists for seconds after touch. Neurons in the barrel cortex thus have information to integrate movements and touches of multiple whiskers over time, key components of object identification and navigation by active touch.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3443316/" 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/PMC3443316/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Petreanu, Leopoldo -- Gutnisky, Diego A -- Huber, Daniel -- Xu, Ning-long -- O'Connor, Dan H -- Tian, Lin -- Looger, Loren -- Svoboda, Karel -- Howard Hughes Medical Institute/ -- England -- Nature. 2012 Sep 13;489(7415):299-303. doi: 10.1038/nature11321.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia 20147, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22922646" target="_blank"〉PubMed〈/a〉

Description: Cortical neurons form specific circuits, but the functional structure of this microarchitecture and its relation to behaviour are poorly understood. Two-photon calcium imaging can monitor activity of spatially defined neuronal ensembles in the mammalian cortex. Here we applied this technique to the motor cortex of mice performing a choice behaviour. Head-fixed mice were trained to lick in response to one of two odours, and to withhold licking for the other odour. Mice routinely showed significant learning within the first behavioural session and across sessions. Microstimulation and trans-synaptic tracing identified two non-overlapping candidate tongue motor cortical areas. Inactivating either area impaired voluntary licking. Imaging in layer 2/3 showed neurons with diverse response types in both areas. Activity in approximately half of the imaged neurons distinguished trial types associated with different actions. Many neurons showed modulation coinciding with or preceding the action, consistent with their involvement in motor control. Neurons with different response types were spatially intermingled. Nearby neurons (within approximately 150 mum) showed pronounced coincident activity. These temporal correlations increased with learning within and across behavioural sessions, specifically for neuron pairs with similar response types. We propose that correlated activity in specific ensembles of functionally related neurons is a signature of learning-related circuit plasticity. Our findings reveal a fine-scale and dynamic organization of the frontal cortex that probably underlies flexible behaviour.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Komiyama, Takaki -- Sato, Takashi R -- O'Connor, Daniel H -- Zhang, Ying-Xin -- Huber, Daniel -- Hooks, Bryan M -- Gabitto, Mariano -- Svoboda, Karel -- Howard Hughes Medical Institute/ -- England -- Nature. 2010 Apr 22;464(7292):1182-6. doi: 10.1038/nature08897. Epub 2010 Apr 7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Janelia Farm Research Campus, HHMI, Ashburn, Virginia 20147, USA. komiyamat@janelia.hhmi.org〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20376005" target="_blank"〉PubMed〈/a〉

Description: Motivation: The advent of next-generation sequencing (NGS) has created unprecedented opportunities to examine viral populations within individual hosts, among infected individuals and over time. Comparing sequence variability across viral genomes allows for the construction of complex population structures, the analysis of which can yield powerful biological insights. However, the simultaneous display of sequence variation, coverage depth and quality scores across thousands of bases presents a unique visualization challenge that has not been fully met by current NGS analysis tools. Results: Here, we present LayerCake, a self-contained visualization tool that allows for the rapid analysis of variation in viral NGS data. LayerCake enables the user to simultaneously visualize variations in multiple viral populations across entire genomes within a highly customizable framework, drawing attention to pertinent and interesting patterns of variation. We have successfully deployed LayerCake to assist with a variety of different genomics datasets. Availability and implementation: Program downloads and detailed instructions are available at http://graphics.cs.wisc.edu/WP/layercake under a modified MIT license. LayerCake is a cross-platform tool written in the Processing framework for Java. Contact: mcorrell@cs.wisc.edu

Description: The use of Chinese-origin rhesus macaques ( Macaca mulatta ) for infectious disease immunity research is increasing despite the relative lack of major histocompatibility complex (MHC) class I immunogenetics information available for this population. We determined transcript-based MHC class I haplotypes for 385 Chinese rhesus macaques from five different experimental cohorts, providing a concise representation of the full complement of MHC class I major alleles expressed by each animal. In total, 123 Mamu-A and Mamu-B haplotypes were defined in the full Chinese rhesus macaque cohort. We then performed an analysis of haplotype frequencies across the experimental cohorts of Chinese rhesus macaques, as well as a comparison against a group of 96 Indian rhesus macaques. Notably, 35 of the 51 Mamu-A and Mamu-B haplotypes observed in Indian rhesus macaques were also detected in the Chinese population, with 85% of the 385 Chinese-origin rhesus macaques expressing at least one of these class I haplotypes. This unexpected conservation of Indian rhesus macaque MHC class I haplotypes in the Chinese rhesus macaque population suggests that immunologic insights originally gleaned from studies using Indian rhesus macaques may be more applicable to Chinese rhesus macaques than previously appreciated and may provide an opportunity for studies of CD8 + T-cell responses between populations. It may also be possible to extend these studies across multiple species of macaques, as we found evidence of shared ancestral haplotypes between Chinese rhesus and Mauritian cynomolgus macaques.