Data from: Cell signaling-based classifier predicts response to induction therapy in elderly patients with acute myeloid leukemiaAlessandra Cesano, Cheryl L. Willman, Kenneth J. Kopecky, Urte Gayko, Santosh Putta, Brent Louie, Matt Westfall, Norman Purvis, David C. Spellmeyer, Carol Marimpietri, Aileen C. Cohen, James Hackett, Jing Shi, Michael G. Walker, Zhuoxin Sun, Elisabeth Paietta, Martin S. Tallman, Larry D. Cripe, Susan Atwater, Frederick R. Appelbaum & Jerald P. Radich
Single-cell network profiling (SCNP) data generated from multi-parametric flow cytometry analysis of bone marrow (BM) and peripheral blood (PB) samples collected from patients >55 years old with non-M3 AML were used to train and validate a diagnostic classifier (DXSCNP) for predicting response to standard induction chemotherapy (complete response [CR] or CR with incomplete hematologic recovery [CRi] versus resistant disease [RD]). SCNP-evaluable patients from four SWOG AML trials were randomized between Training (N = 74 patients...
Data from: Pervasive and strong effects of plants on soil chemistry: a meta-analysis of individual plant ‘Zinke’ effectsBonnie G. Waring, Leonor Álvarez-Cansino, Kathryn E. Barry, Kristen K. Becklund, Sarah Dale, Maria G. Gei, Adrienne B. Keller, Omar R. Lopez, Lars Markesteijn, Scott Mangan, Charlotte E. Riggs, Maria Elizabeth Rodríguez-Ronderos, R. Max Segnitz, Stefan A. Schnitzer & Jennifer S. Powers
Plant species leave a chemical signature in the soils below them, generating fine-scale spatial variation that drives ecological processes. Since the publication of a seminal paper on plant-mediated soil heterogeneity by Paul Zinke in 1962, a robust literature has developed examining effects of individual plants on their local environments (individual plant effects). Here, we synthesize this work using meta-analysis to show that plant effects are strong and pervasive across ecosystems on six continents. Overall, soil...
Data from: Global database of matched Plasmodium falciparum and P. vivax incidence and prevalence records from 1985–2013Katherine E. Battle, Carlos A. Guerra, Nick Golding, Kirsten A. Duda, Ewan Cameron, Rosalind E. Howes, Iqbal R. F. Elyazar, J. Kevin Baird, , Peter W. Gething, David L. Smith & Simon I. Hay
Measures of clinical incidence are necessary to help estimate the burden of a disease. Incidence is a metric not commonly measured in malariology because the longitudinal surveys required are costly and labour intensive. This database is an effort to collate published incidence records obtained using active case detection for Plasmodium falciparum and Plasmodium vivax malaria. The literature search methods, data abstraction procedures and data processing procedures are described here. A total of 1,680 spatio-temporally unique...
Data from: Determining the null model for detecting adaptive convergence from genomic data: a case study using echolocating mammalsGregg W. C. Thomas & Matthew W. Hahn
Convergent evolution occurs when the same trait arises independently in multiple lineages. In most cases of phenotypic convergence such transitions are adaptive, so finding the underlying molecular causes of convergence can provide insight into the process of adaptation. Convergent evolution at the genomic level also lends itself to study by comparative methods, though molecular convergence can also occur by chance, adding noise to this process. Parker et al. (2013) studied convergence across the genomes of...
Data from: The roles of compensatory evolution and constraint in aminoacyl tRNA synthetase evolutionJeffrey R. Adrion, P. Signe White & Kristi L. Montooth
Mitochondrial protein translation requires interactions between transfer RNAs encoded by the mitochondrial genome (mt-tRNAs) and mitochondrial aminoacyl tRNA synthetase proteins (mt-aaRS) encoded by the nuclear genome. It has been argued that animal mt-tRNAs have higher deleterious substitution rates relative to their nuclear-encoded counterparts, the cytoplasmic tRNAs (cyt-tRNAs). This dynamic predicts elevated rates of compensatory evolution of mt-aaRS that interact with mt-tRNAs, relative to aaRS that interact with cyt-tRNAs (cyt-aaRS). We find that mt-aaRS do evolve...
University of Oxford2
Fred Hutchinson Cancer Research Center1
The Bronx Defenders1
University of Minnesota1
University of Wisconsin-Madison1
Washington University in St. Louis1
Memorial Sloan Kettering Cancer Center1
Smithsonian Tropical Research Institute1