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  1. Article ; Online: Modelamiento y simulación de una planta de recuperación de plata con tiourea

    Rubén Robles Ramos / Mauricio Joaquín Reyna Robledo / Dandy Calla Choque / José Enrique Santos Jallath

    Epistemus, Vol 16, Iss

    2022  Volume 32

    Abstract: Algunos residuos generados en operaciones metalúrgicas tienen elementos metálicos de interés, por lo que pueden ser reprocesados para darle un valor adicional a la operación. Este trabajo presenta el modelamiento y simulación de tanques de lixiviación ... ...

    Abstract Algunos residuos generados en operaciones metalúrgicas tienen elementos metálicos de interés, por lo que pueden ser reprocesados para darle un valor adicional a la operación. Este trabajo presenta el modelamiento y simulación de tanques de lixiviación para la recuperación de plata con tiourea y oxalato a partir de jarositas que son uno de los principales desechos del procesamiento del zinc. Se usaron modelos de primer orden y se seleccionó el de mejor ajuste para la evaluación de la velocidad de lixiviación en tanques con agitación continua (CSTR). Finalmente se presentan los resultados obtenidos en la simulación del proceso con ayuda del software Matlab-Simulink® por medio de bloques de subsistemas.
    Keywords Modelamiento ; Simulación ; Plata ; Tanques de lixiviación ; Technology ; T ; Science ; Q
    Language English
    Publishing date 2022-04-01T00:00:00Z
    Publisher Universidad de Sonora
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Rewiring of the 3D genome during acquisition of carboplatin resistance in a triple-negative breast cancer patient-derived xenograft

    Mikhail G. Dozmorov / Maggie A. Marshall / Narmeen S. Rashid / Jacqueline M. Grible / Aaron Valentine / Amy L. Olex / Kavita Murthy / Abhijit Chakraborty / Joaquin Reyna / Daniela Salgado Figueroa / Laura Hinojosa-Gonzalez / Erika Da-Inn Lee / Brittany A. Baur / Sushmita Roy / Ferhat Ay / J. Chuck Harrell

    Scientific Reports, Vol 13, Iss 1, Pp 1-

    2023  Volume 17

    Abstract: Abstract Changes in the three-dimensional (3D) structure of the genome are an emerging hallmark of cancer. Cancer-associated copy number variants and single nucleotide polymorphisms promote rewiring of chromatin loops, disruption of topologically ... ...

    Abstract Abstract Changes in the three-dimensional (3D) structure of the genome are an emerging hallmark of cancer. Cancer-associated copy number variants and single nucleotide polymorphisms promote rewiring of chromatin loops, disruption of topologically associating domains (TADs), active/inactive chromatin state switching, leading to oncogene expression and silencing of tumor suppressors. However, little is known about 3D changes during cancer progression to a chemotherapy-resistant state. We integrated chromatin conformation capture (Hi-C), RNA-seq, and whole-genome sequencing obtained from triple-negative breast cancer patient-derived xenograft primary tumors (UCD52) and carboplatin-resistant samples and found increased short-range (< 2 Mb) interactions, chromatin looping, formation of TAD, chromatin state switching into a more active state, and amplification of ATP-binding cassette transporters. Transcriptome changes suggested the role of long-noncoding RNAs in carboplatin resistance. Rewiring of the 3D genome was associated with TP53, TP63, BATF, FOS-JUN family of transcription factors and led to activation of aggressiveness-, metastasis- and other cancer-related pathways. Integrative analysis highlighted increased ribosome biogenesis and oxidative phosphorylation, suggesting the role of mitochondrial energy metabolism. Our results suggest that 3D genome remodeling may be a key mechanism underlying carboplatin resistance.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2023-04-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Systematic genetic analysis of the MHC region reveals mechanistic underpinnings of HLA type associations with disease

    Matteo D'Antonio / Joaquin Reyna / David Jakubosky / Margaret KR Donovan / Marc-Jan Bonder / Hiroko Matsui / Oliver Stegle / Naoki Nariai / Agnieszka D'Antonio-Chronowska / Kelly A Frazer

    eLife, Vol

    2019  Volume 8

    Abstract: The MHC region is highly associated with autoimmune and infectious diseases. Here we conduct an in-depth interrogation of associations between genetic variation, gene expression and disease. We create a comprehensive map of regulatory variation in the ... ...

    Abstract The MHC region is highly associated with autoimmune and infectious diseases. Here we conduct an in-depth interrogation of associations between genetic variation, gene expression and disease. We create a comprehensive map of regulatory variation in the MHC region using WGS from 419 individuals to call eight-digit HLA types and RNA-seq data from matched iPSCs. Building on this regulatory map, we explored GWAS signals for 4083 traits, detecting colocalization for 180 disease loci with eQTLs. We show that eQTL analyses taking HLA type haplotypes into account have substantially greater power compared with only using single variants. We examined the association between the 8.1 ancestral haplotype and delayed colonization in Cystic Fibrosis, postulating that downregulation of RNF5 expression is the likely causal mechanism. Our study provides insights into the genetic architecture of the MHC region and pinpoints disease associations that are due to differential expression of HLA genes and non-HLA genes.
    Keywords major histocompatibility complex ; eQTLs ; gene expression ; HLA types ; Medicine ; R ; Science ; Q ; Biology (General) ; QH301-705.5
    Subject code 570
    Language English
    Publishing date 2019-11-01T00:00:00Z
    Publisher eLife Sciences Publications Ltd
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: iPSCORE

    Athanasia D. Panopoulos / Matteo D'Antonio / Paola Benaglio / Roy Williams / Sherin I. Hashem / Bernhard M. Schuldt / Christopher DeBoever / Angelo D. Arias / Melvin Garcia / Bradley C. Nelson / Olivier Harismendy / David A. Jakubosky / Margaret K.R. Donovan / William W. Greenwald / KathyJean Farnam / Megan Cook / Victor Borja / Carl A. Miller / Jonathan D. Grinstein /
    Frauke Drees / Jonathan Okubo / Kenneth E. Diffenderfer / Yuriko Hishida / Veronica Modesto / Carl T. Dargitz / Rachel Feiring / Chang Zhao / Aitor Aguirre / Thomas J. McGarry / Hiroko Matsui / He Li / Joaquin Reyna / Fangwen Rao / Daniel T. O'Connor / Gene W. Yeo / Sylvia M. Evans / Neil C. Chi / Kristen Jepsen / Naoki Nariai / Franz-Josef Müller / Lawrence S.B. Goldstein / Juan Carlos Izpisua Belmonte / Eric Adler / Jeanne F. Loring / W. Travis Berggren / Agnieszka D'Antonio-Chronowska / Erin N. Smith / Kelly A. Frazer

    Stem Cell Reports, Vol 8, Iss 4, Pp 1086-

    A Resource of 222 iPSC Lines Enabling Functional Characterization of Genetic Variation across a Variety of Cell Types

    2017  Volume 1100

    Abstract: Summary: Large-scale collections of induced pluripotent stem cells (iPSCs) could serve as powerful model systems for examining how genetic variation affects biology and disease. Here we describe the iPSCORE resource: a collection of systematically ... ...

    Abstract Summary: Large-scale collections of induced pluripotent stem cells (iPSCs) could serve as powerful model systems for examining how genetic variation affects biology and disease. Here we describe the iPSCORE resource: a collection of systematically derived and characterized iPSC lines from 222 ethnically diverse individuals that allows for both familial and association-based genetic studies. iPSCORE lines are pluripotent with high genomic integrity (no or low numbers of somatic copy-number variants) as determined using high-throughput RNA-sequencing and genotyping arrays, respectively. Using iPSCs from a family of individuals, we show that iPSC-derived cardiomyocytes demonstrate gene expression patterns that cluster by genetic background, and can be used to examine variants associated with physiological and disease phenotypes. The iPSCORE collection contains representative individuals for risk and non-risk alleles for 95% of SNPs associated with human phenotypes through genome-wide association studies. Our study demonstrates the utility of iPSCORE for examining how genetic variants influence molecular and physiological traits in iPSCs and derived cell lines. : Working as part of the NHLBI NextGen consortium, Panopoulos and colleagues report the derivation and characterization of 222 publicly available iPSCs from ethnically diverse individuals with corresponding genomic data including SNP arrays, RNA-seq, and whole-genome sequencing. This collection provides a powerful resource to investigate the function of genetic variants. Keywords: iPSCORE, iPSC, GWAS, molecular traits, physiological traits, cardiac disease, NHLBI Next Gen, LQT2, KCNH2, iPSC-derived cardiomyocytes
    Keywords Medicine (General) ; R5-920 ; Biology (General) ; QH301-705.5
    Subject code 616
    Language English
    Publishing date 2017-04-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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