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Scientific Data

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https://www.readbyqxmd.com/read/29337314/the-reconstruction-of-2-631-draft-metagenome-assembled-genomes-from-the-global-oceans
#1
Benjamin J Tully, Elaina D Graham, John F Heidelberg
Microorganisms play a crucial role in mediating global biogeochemical cycles in the marine environment. By reconstructing the genomes of environmental organisms through metagenomics, researchers are able to study the metabolic potential of Bacteria and Archaea that are resistant to isolation in the laboratory. Utilizing the large metagenomic dataset generated from 234 samples collected during the Tara Oceans circumnavigation expedition, we were able to assemble 102 billion paired-end reads into 562 million contigs, which in turn were co-assembled and consolidated in to 7...
January 16, 2018: Scientific Data
https://www.readbyqxmd.com/read/29337313/complete-genome-sequencing-of-the-luminescent-bacterium-vibrio-qinghaiensis-sp-q67-using-pacbio-technology
#2
Liang Gong, Yu Wu, Qijie Jian, Chunxiao Yin, Taotao Li, Vijai Kumar Gupta, Xuewu Duan, Yueming Jiang
Vibrio qinghaiensis sp.-Q67 (Vqin-Q67) is a freshwater luminescent bacterium that continuously emits blue-green light (485 nm). The bacterium has been widely used for detecting toxic contaminants. Here, we report the complete genome sequence of Vqin-Q67, obtained using third-generation PacBio sequencing technology. Continuous long reads were attained from three PacBio sequencing runs and reads >500 bp with a quality value of >0.75 were merged together into a single dataset. This resultant highly-contiguous de novo assembly has no genome gaps, and comprises two chromosomes with substantial genetic information, including protein-coding genes, non-coding RNA, transposon and gene islands...
January 16, 2018: Scientific Data
https://www.readbyqxmd.com/read/29337312/china-co2-emission-accounts-1997-2015
#3
Yuli Shan, Dabo Guan, Heran Zheng, Jiamin Ou, Yuan Li, Jing Meng, Zhifu Mi, Zhu Liu, Qiang Zhang
China is the world's top energy consumer and CO2 emitter, accounting for 30% of global emissions. Compiling an accurate accounting of China's CO2 emissions is the first step in implementing reduction policies. However, no annual, officially published emissions data exist for China. The current emissions estimated by academic institutes and scholars exhibit great discrepancies. The gap between the different emissions estimates is approximately equal to the total emissions of the Russian Federation (the 4th highest emitter globally) in 2011...
January 16, 2018: Scientific Data
https://www.readbyqxmd.com/read/29313843/microarray-profiling-of-mirna-and-mrna-expression-in-rag2-knockout-and-wild-type-mouse-spleens
#4
Abu Musa Md Talimur Reza, Seong-Keun Cho, Yun-Jung Choi, Kwonho Hong, Jin-Hoi Kim
The Rag2 knockout (KO) mouse is one of the most popular immune compromised animal models used in biomedical research. The immune compromised state concurrently alters many signalling pathways and molecules, including miRNAs and mRNA transcripts that are involved in important biological processes. In addition, miRNAs and transcripts are interdependent, often forming a feedback loop; dysregulation in one might alter the expression of the other, and both participate in many physiological processes including immune regulation...
January 9, 2018: Scientific Data
https://www.readbyqxmd.com/read/29313842/twelve-thousand-recent-patellogastropods-from-a-northeastern-pacific-latitudinal-gradient
#5
Sara S Kahanamoku, Pincelli M Hull, David R Lindberg, Allison Y Hsiang, Erica C Clites, Seth Finnegan
Body size distributions can vary widely among communities, with important implications for ecological dynamics, energetics, and evolutionary history. Here we present a dataset of body size and shape for 12,035 extant Patellogastropoda (true limpet) specimens from the collections of the University of California Museum of Paleontology, compiled using a novel high-throughput morphometric imaging method. These specimens were collected over the past 150 years at 355 localities along a latitudinal gradient ranging from Alaska to Baja California, Mexico and are presented here with individual images, 2D outline coordinates, and 2D measurements of body size and shape...
January 9, 2018: Scientific Data
https://www.readbyqxmd.com/read/29313841/terraclimate-a-high-resolution-global-dataset-of-monthly-climate-and-climatic-water-balance-from-1958-2015
#6
John T Abatzoglou, Solomon Z Dobrowski, Sean A Parks, Katherine C Hegewisch
We present TerraClimate, a dataset of high-spatial resolution (1/24°, ~4-km) monthly climate and climatic water balance for global terrestrial surfaces from 1958-2015. TerraClimate uses climatically aided interpolation, combining high-spatial resolution climatological normals from the WorldClim dataset, with coarser resolution time varying (i.e., monthly) data from other sources to produce a monthly dataset of precipitation, maximum and minimum temperature, wind speed, vapor pressure, and solar radiation. TerraClimate additionally produces monthly surface water balance datasets using a water balance model that incorporates reference evapotranspiration, precipitation, temperature, and interpolated plant extractable soil water capacity...
January 9, 2018: Scientific Data
https://www.readbyqxmd.com/read/29313840/survey-based-socio-economic-data-from-slums-in-bangalore-india
#7
Debraj Roy, Bharath Palavalli, Niveditha Menon, Robin King, Karin Pfeffer, Michael Lees, Peter M A Sloot
In 2010, an estimated 860 million people were living in slums worldwide, with around 60 million added to the slum population between 2000 and 2010. In 2011, 200 million people in urban Indian households were considered to live in slums. In order to address and create slum development programmes and poverty alleviation methods, it is necessary to understand the needs of these communities. Therefore, we require data with high granularity in the Indian context. Unfortunately, there is a paucity of highly granular data at the level of individual slums...
January 9, 2018: Scientific Data
https://www.readbyqxmd.com/read/29257137/ash-leaf-metabolomes-reveal-differences-between-trees-tolerant-and-susceptible-to-ash-dieback-disease
#8
Christine M Sambles, Deborah L Salmon, Hannah Florance, Thomas P Howard, Nicholas Smirnoff, Lene R Nielsen, Lea V McKinney, Erik D Kjær, Richard J A Buggs, David J Studholme, Murray Grant
European common ash, Fraxinus excelsior, is currently threatened by Ash dieback (ADB) caused by the fungus, Hymenoscyphus fraxineus. To detect and identify metabolites that may be products of pathways important in contributing to resistance against H. fraxineus, we performed untargeted metabolomic profiling on leaves from five high-susceptibility and five low-susceptibility F. excelsior individuals identified during Danish field trials. We describe in this study, two datasets. The first is untargeted LC-MS metabolomics raw data from ash leaves with high-susceptibility and low-susceptibility to ADB in positive and negative mode...
December 19, 2017: Scientific Data
https://www.readbyqxmd.com/read/29257136/assembly-of-an-early-matured-japonica-geng-rice-genome-suijing18-based-on-pacbio-and-illumina-sequencing
#9
Shou-Jun Nie, Yu-Qiang Liu, Chun-Chao Wang, Shi-Wei Gao, Tian-Tian Xu, Qing Liu, Hui-Lin Chang, Yu-Bao Chen, Peng-Cheng Yan, Wei Peng, Tian-Qing Zheng, Jian-Long Xu, Zhi-Kang Li
The early-matured japonica (Geng) rice variety, Suijing18 (SJ18), carries multiple elite traits including durable blast resistance, good grain quality, and high yield. Using PacBio SMRT technology, we produced over 25 Gb of long-read sequencing raw data from SJ18 with a coverage of 62×. Using Illumina paired-end whole-genome shotgun sequencing technology, we generated 59 Gb of short-read sequencing data from SJ18 (23.6 Gb from a 200 bp library with a coverage of 59× and 35.4 Gb from an 800 bp library with a coverage of 88×)...
December 19, 2017: Scientific Data
https://www.readbyqxmd.com/read/29257135/take-off-engine-particle-emission-indices-for-in-service-aircraft-at-los-angeles-international-airport
#10
Richard H Moore, Michael A Shook, Luke D Ziemba, Joshua P DiGangi, Edward L Winstead, Bastian Rauch, Tina Jurkat, Kenneth L Thornhill, Ewan C Crosbie, Claire Robinson, Taylor J Shingler, Bruce E Anderson
We present ground-based, advected aircraft engine emissions from flights taking off at Los Angeles International Airport. 275 discrete engine take-off plumes were observed on 18 and 25 May 2014 at a distance of 400 m downwind of the runway. CO2 measurements are used to convert the aerosol data into plume-average emissions indices that are suitable for modelling aircraft emissions. Total and non-volatile particle number EIs are of order 1016-1017 kg-1 and 1014-1016 kg-1, respectively. Black-carbon-equivalent particle mass EIs vary between 175-941 mg kg-1 (except for the GE GEnx engines at 46 mg kg-1)...
December 19, 2017: Scientific Data
https://www.readbyqxmd.com/read/29257134/long-read-sequencing-of-the-human-cytomegalovirus-transcriptome-with-the-pacific-biosciences-rsii-platform
#11
Zsolt Balázs, Dóra Tombácz, Attila Szűcs, Michael Snyder, Zsolt Boldogkői
Long-read RNA sequencing allows for the precise characterization of full-length transcripts, which makes it an indispensable tool in transcriptomics. The human cytomegalovirus (HCMV) genome has been first sequenced in 1989 and although short-read sequencing studies have uncovered much of the complexity of its transcriptome, only few of its transcripts have been fully annotated. We hereby present a long-read RNA sequencing dataset of HCMV infected human lung fibroblast cells sequenced by the Pacific Biosciences RSII platform...
December 19, 2017: Scientific Data
https://www.readbyqxmd.com/read/29257133/sequence-data-and-association-statistics-from-12-940-type-2-diabetes-cases-and-controls
#12
Flannick Jason, Christian Fuchsberger, Anubha Mahajan, Tanya M Teslovich, Vineeta Agarwala, Kyle J Gaulton, Lizz Caulkins, Ryan Koesterer, Clement Ma, Loukas Moutsianas, Davis J McCarthy, Manuel A Rivas, John R B Perry, Xueling Sim, Thomas W Blackwell, Neil R Robertson, N William Rayner, Pablo Cingolani, Adam E Locke, Juan Fernandez Tajes, Heather M Highland, Josee Dupuis, Peter S Chines, Cecilia M Lindgren, Christopher Hartl, Anne U Jackson, Han Chen, Jeroen R Huyghe, Martijn van de Bunt, Richard D Pearson, Ashish Kumar, Martina Müller-Nurasyid, Niels Grarup, Heather M Stringham, Eric R Gamazon, Jaehoon Lee, Yuhui Chen, Robert A Scott, Jennifer E Below, Peng Chen, Jinyan Huang, Min Jin Go, Michael L Stitzel, Dorota Pasko, Stephen C J Parker, Tibor V Varga, Todd Green, Nicola L Beer, Aaron G Day-Williams, Teresa Ferreira, Tasha Fingerlin, Momoko Horikoshi, Cheng Hu, Iksoo Huh, Mohammad Kamran Ikram, Bong-Jo Kim, Yongkang Kim, Young Jin Kim, Min-Seok Kwon, Juyoung Lee, Selyeong Lee, Keng-Han Lin, Taylor J Maxwell, Yoshihiko Nagai, Xu Wang, Ryan P Welch, Joon Yoon, Weihua Zhang, Nir Barzilai, Benjamin F Voight, Bok-Ghee Han, Christopher P Jenkinson, Teemu Kuulasmaa, Johanna Kuusisto, Alisa Manning, Maggie C Y Ng, Nicholette D Palmer, Beverley Balkau, Alena Stančáková, Hanna E Abboud, Heiner Boeing, Vilmantas Giedraitis, Dorairaj Prabhakaran, Omri Gottesman, James Scott, Jason Carey, Phoenix Kwan, George Grant, Joshua D Smith, Benjamin M Neale, Shaun Purcell, Adam S Butterworth, Joanna M M Howson, Heung Man Lee, Yingchang Lu, Soo-Heon Kwak, Wei Zhao, John Danesh, Vincent K L Lam, Kyong Soo Park, Danish Saleheen, Wing Yee So, Claudia H T Tam, Uzma Afzal, David Aguilar, Rector Arya, Tin Aung, Edmund Chan, Carmen Navarro, Ching-Yu Cheng, Domenico Palli, Adolfo Correa, Joanne E Curran, Dennis Rybin, Vidya S Farook, Sharon P Fowler, Barry I Freedman, Michael Griswold, Daniel Esten Hale, Pamela J Hicks, Chiea-Chuen Khor, Satish Kumar, Benjamin Lehne, Dorothée Thuillier, Wei Yen Lim, Jianjun Liu, Marie Loh, Solomon K Musani, Sobha Puppala, William R Scott, Loïc Yengo, Sian-Tsung Tan, Herman A Taylor, Farook Thameem, Gregory Wilson, Tien Yin Wong, Pål Rasmus Njølstad, Jonathan C Levy, Massimo Mangino, Lori L Bonnycastle, Thomas Schwarzmayr, João Fadista, Gabriela L Surdulescu, Christian Herder, Christopher J Groves, Thomas Wieland, Jette Bork-Jensen, Ivan Brandslund, Cramer Christensen, Heikki A Koistinen, Alex S F Doney, Leena Kinnunen, Tõnu Esko, Andrew J Farmer, Liisa Hakaste, Dylan Hodgkiss, Jasmina Kravic, Valeri Lyssenko, Mette Hollensted, Marit E Jørgensen, Torben Jørgensen, Claes Ladenvall, Johanne Marie Justesen, Annemari Käräjämäki, Jennifer Kriebel, Wolfgang Rathmann, Lars Lannfelt, Torsten Lauritzen, Narisu Narisu, Allan Linneberg, Olle Melander, Lili Milani, Matt Neville, Marju Orho-Melander, Lu Qi, Qibin Qi, Michael Roden, Olov Rolandsson, Amy Swift, Anders H Rosengren, Kathleen Stirrups, Andrew R Wood, Evelin Mihailov, Christine Blancher, Mauricio O Carneiro, Jared Maguire, Ryan Poplin, Khalid Shakir, Timothy Fennell, Mark DePristo, Martin Hrabé de Angelis, Panos Deloukas, Anette P Gjesing, Goo Jun, Peter Nilsson, Jacquelyn Murphy, Robert Onofrio, Barbara Thorand, Torben Hansen, Christa Meisinger, Frank B Hu, Bo Isomaa, Fredrik Karpe, Liming Liang, Annette Peters, Cornelia Huth, Stephen P O'Rahilly, Colin N A Palmer, Oluf Pedersen, Rainer Rauramaa, Jaakko Tuomilehto, Veikko Salomaa, Richard M Watanabe, Ann-Christine Syvänen, Richard N Bergman, Dwaipayan Bharadwaj, Erwin P Bottinger, Yoon Shin Cho, Giriraj R Chandak, Juliana Cn Chan, Kee Seng Chia, Mark J Daly, Shah B Ebrahim, Claudia Langenberg, Paul Elliott, Kathleen A Jablonski, Donna M Lehman, Weiping Jia, Ronald C W Ma, Toni I Pollin, Manjinder Sandhu, Nikhil Tandon, Philippe Froguel, Inês Barroso, Yik Ying Teo, Eleftheria Zeggini, Ruth J F Loos, Kerrin S Small, Janina S Ried, Ralph A DeFronzo, Harald Grallert, Benjamin Glaser, Andres Metspalu, Nicholas J Wareham, Mark Walker, Eric Banks, Christian Gieger, Erik Ingelsson, Hae Kyung Im, Thomas Illig, Paul W Franks, Gemma Buck, Joseph Trakalo, David Buck, Inga Prokopenko, Reedik Mägi, Lars Lind, Yossi Farjoun, Katharine R Owen, Anna L Gloyn, Konstantin Strauch, Tiinamaija Tuomi, Jaspal Singh Kooner, Jong-Young Lee, Taesung Park, Peter Donnelly, Andrew D Morris, Andrew T Hattersley, Donald W Bowden, Francis S Collins, Gil Atzmon, John C Chambers, Timothy D Spector, Markku Laakso, Tim M Strom, Graeme I Bell, John Blangero, Ravindranath Duggirala, E Shyong Tai, Gilean McVean, Craig L Hanis, James G Wilson, Mark Seielstad, Timothy M Frayling, James B Meigs, Nancy J Cox, Rob Sladek, Eric S Lander, Stacey Gabriel, Karen L Mohlke, Thomas Meitinger, Leif Groop, Goncalo Abecasis, Laura J Scott, Andrew P Morris, Hyun Min Kang, David Altshuler, Noël P Burtt, Jose C Florez, Michael Boehnke, Mark I McCarthy
To investigate the genetic basis of type 2 diabetes (T2D) to high resolution, the GoT2D and T2D-GENES consortia catalogued variation from whole-genome sequencing of 2,657 European individuals and exome sequencing of 12,940 individuals of multiple ancestries. Over 27M SNPs, indels, and structural variants were identified, including 99% of low-frequency (minor allele frequency [MAF] 0.1-5%) non-coding variants in the whole-genome sequenced individuals and 99.7% of low-frequency coding variants in the whole-exome sequenced individuals...
December 19, 2017: Scientific Data
https://www.readbyqxmd.com/read/29257132/a-curated-mammography-data-set-for-use-in-computer-aided-detection-and-diagnosis-research
#13
Rebecca Sawyer Lee, Francisco Gimenez, Assaf Hoogi, Kanae Kawai Miyake, Mia Gorovoy, Daniel L Rubin
Published research results are difficult to replicate due to the lack of a standard evaluation data set in the area of decision support systems in mammography; most computer-aided diagnosis (CADx) and detection (CADe) algorithms for breast cancer in mammography are evaluated on private data sets or on unspecified subsets of public databases. This causes an inability to directly compare the performance of methods or to replicate prior results. We seek to resolve this substantial challenge by releasing an updated and standardized version of the Digital Database for Screening Mammography (DDSM) for evaluation of future CADx and CADe systems (sometimes referred to generally as CAD) research in mammography...
December 19, 2017: Scientific Data
https://www.readbyqxmd.com/read/29257129/verification-of-arabidopsis-stock-collections-using-snpmatch-a-tool-for-genotyping-high-plexed-samples
#14
Rahul Pisupati, Ilka Reichardt, Ümit Seren, Pamela Korte, Viktoria Nizhynska, Envel Kerdaffrec, Kristina Uzunova, Fernando A Rabanal, Daniele L Filiault, Magnus Nordborg
Large-scale studies such as the Arabidopsis thaliana '1,001 Genomes' Project require routine genotyping of stocks to avoid sample contamination. To genotype samples efficiently and economically, sequencing must be inexpensive and data processing simple. Here we present SNPmatch, a tool that identifies strains (or inbred lines, or accessions) by matching them to a SNP database. We tested the tool by performing low-coverage resequencing of over 2,000 strains from our lab seed stock collection. SNPmatch correctly genotyped samples from 1-fold coverage sequencing data, and could also identify the parents of F1 or F2 individuals...
December 19, 2017: Scientific Data
https://www.readbyqxmd.com/read/29257128/a-dataset-for-preparing-pristine-graphene-palladium-nanocomposites-using-swollen-liquid-crystal-templates
#15
Tripti Vats, Prem Felix Siril
Pristine graphene (G) has not received much attention as a catalyst support, presumably due to its relative inertness as compared to reduced graphene oxide (RGO). In the present work, we used swollen liquid crystals (SLCs) as nano-reactors for graphene-palladium nanocomposites synthesis. The 'soft' confinement of SLCs directs the growth of palladium (Pd) nanoparticles over the G sheets. In this dataset we include all the parameters and details of different techniques used for the characterization of G, SLCs and synthesized G-Pd nanocomposites...
December 19, 2017: Scientific Data
https://www.readbyqxmd.com/read/29257127/ani-1-a-data-set-of-20-million-calculated-off-equilibrium-conformations-for-organic-molecules
#16
Justin S Smith, Olexandr Isayev, Adrian E Roitberg
One of the grand challenges in modern theoretical chemistry is designing and implementing approximations that expedite ab initio methods without loss of accuracy. Machine learning (ML) methods are emerging as a powerful approach to constructing various forms of transferable atomistic potentials. They have been successfully applied in a variety of applications in chemistry, biology, catalysis, and solid-state physics. However, these models are heavily dependent on the quality and quantity of data used in their fitting...
December 19, 2017: Scientific Data
https://www.readbyqxmd.com/read/29257126/an-open-resource-for-transdiagnostic-research-in-pediatric-mental-health-and-learning-disorders
#17
Lindsay M Alexander, Jasmine Escalera, Lei Ai, Charissa Andreotti, Karina Febre, Alexander Mangone, Natan Vega-Potler, Nicolas Langer, Alexis Alexander, Meagan Kovacs, Shannon Litke, Bridget O'Hagan, Jennifer Andersen, Batya Bronstein, Anastasia Bui, Marijayne Bushey, Henry Butler, Victoria Castagna, Nicolas Camacho, Elisha Chan, Danielle Citera, Jon Clucas, Samantha Cohen, Sarah Dufek, Megan Eaves, Brian Fradera, Judith Gardner, Natalie Grant-Villegas, Gabriella Green, Camille Gregory, Emily Hart, Shana Harris, Megan Horton, Danielle Kahn, Katherine Kabotyanski, Bernard Karmel, Simon P Kelly, Kayla Kleinman, Bonhwang Koo, Eliza Kramer, Elizabeth Lennon, Catherine Lord, Ginny Mantello, Amy Margolis, Kathleen R Merikangas, Judith Milham, Giuseppe Minniti, Rebecca Neuhaus, Alexandra Levine, Yael Osman, Lucas C Parra, Ken R Pugh, Amy Racanello, Anita Restrepo, Tian Saltzman, Batya Septimus, Russell Tobe, Rachel Waltz, Anna Williams, Anna Yeo, Francisco X Castellanos, Arno Klein, Tomas Paus, Bennett L Leventhal, R Cameron Craddock, Harold S Koplewicz, Michael P Milham
Technological and methodological innovations are equipping researchers with unprecedented capabilities for detecting and characterizing pathologic processes in the developing human brain. As a result, ambitions to achieve clinically useful tools to assist in the diagnosis and management of mental health and learning disorders are gaining momentum. To this end, it is critical to accrue large-scale multimodal datasets that capture a broad range of commonly encountered clinical psychopathology. The Child Mind Institute has launched the Healthy Brain Network (HBN), an ongoing initiative focused on creating and sharing a biobank of data from 10,000 New York area participants (ages 5-21)...
December 19, 2017: Scientific Data
https://www.readbyqxmd.com/read/29257125/automatized-image-processing-of-bovine-blastocysts-produced-in-vitro-for-quantitative-variable-determination
#18
José Celso Rocha, Felipe José Passalia, Felipe Delestro Matos, Maria Beatriz Takahashi, Marc Peter Maserati, Mayra Fernanda Alves, Tamie Guibu de Almeida, Bruna Lopes Cardoso, Andrea Cristina Basso, Marcelo Fábio Gouveia Nogueira
There is currently no objective, real-time and non-invasive method for evaluating the quality of mammalian embryos. In this study, we processed images of in vitro produced bovine blastocysts to obtain a deeper comprehension of the embryonic morphological aspects that are related to the standard evaluation of blastocysts. Information was extracted from 482 digital images of blastocysts. The resulting imaging data were individually evaluated by three experienced embryologists who graded their quality. To avoid evaluation bias, each image was related to the modal value of the evaluations...
December 19, 2017: Scientific Data
https://www.readbyqxmd.com/read/29231925/expression-profiling-of-the-retina-of-pde6c-a-zebrafish-model-of-retinal-degeneration
#19
Liyun Zhang, Xinlian Zhang, Gaonan Zhang, Chi Pui Pang, Yuk Fai Leung, Mingzhi Zhang, Wenxuan Zhong
Retinal degeneration often affects the whole retina even though the disease-causing gene is specifically expressed in the light-sensitive photoreceptors. The molecular basis of the retinal defect can potentially be determined by gene-expression profiling of the whole retina. In this study, we measured the gene-expression profile of retinas microdissected from a zebrafish pde6cw59 (pde6c) mutant. This retinal-degeneration model not only displays cone degeneration caused by a cone-specific mutation, but also other secondary cellular changes starting from 4 days postfertilization (dpf)...
December 12, 2017: Scientific Data
https://www.readbyqxmd.com/read/29231924/the-mineralocorticoid-receptor-knockout-in-medaka-is-further-validated-by-glucocorticoid-receptor-compensation
#20
Tatsuya Sakamoto, Madoka Yoshiki, Hirotaka Sakamoto
To study the critical role of mineralocorticoid signalling, we generated a constitutive mineralocorticoid receptor (MR)-knockout (KO) medaka as the first adult-viable MR-KO animal. This KO medaka displayed abnormal behaviours affected by visual stimuli. In contrast, the loss of MR did not result in overt phenotypic changes in osmoregulation, despite the well-known osmoregulatory functions of MR in mammals. Since glucocorticoid receptor (GR) has been suggested to compensate for loss of MR, we examined expression of duplicated GRs with markedly different ligand sensitivities, in various tissues...
December 12, 2017: Scientific Data
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