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Functional analysis of differentially expressed genes associated with glaucoma from DNA microarray data.

Genetics and molecular research : GMR

Wu Y, Zang WD, Jiang W.
PMID: 25501152
Genet Mol Res. 2014 Nov 11;13(4):9421-8. doi: 10.4238/2014.November.11.7.

Microarray data of astrocytes extracted from the optic nerves of donors with and without glaucoma were analyzed to screen for differentially expressed genes (DEGs). Functional exploration with bioinformatic tools was then used to understand the roles of the identified...

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Wu Y, Zang WD, Jiang W. Functional analysis of differentially expressed genes associated with glaucoma from DNA microarray data. Genet Mol Res. 2014;13(4):9421-8doi: 10.4238/2014.November.11.7.
Wu, Y., Zang, W. D., & Jiang, W. (2014). Functional analysis of differentially expressed genes associated with glaucoma from DNA microarray data. Genetics and molecular research : GMR, 13(4), 9421-8. https://doi.org/10.4238/2014.November.11.7
Wu, Y, et al. "Functional analysis of differentially expressed genes associated with glaucoma from DNA microarray data." Genetics and molecular research : GMR vol. 13,4 (2014): 9421-8. doi: https://doi.org/10.4238/2014.November.11.7
Wu Y, Zang WD, Jiang W. Functional analysis of differentially expressed genes associated with glaucoma from DNA microarray data. Genet Mol Res. 2014 Nov 11;13(4):9421-8. doi: 10.4238/2014.November.11.7. PMID: 25501152.
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[Oncogenesis: theories and facts].

Epidemiologia e prevenzione

Luzzatto L.
PMID: 26499232
Epidemiol Prev. 2015 Jul-Aug;39(4):218-9.

No abstract available.

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Luzzatto L. Oncogenesi: le teorie e i fatti. [Oncogenesis: theories and facts]. Epidemiol Prev. 2015;39(4):218-9
Luzzatto, L. (2015). Oncogenesi: le teorie e i fatti. [Oncogenesis: theories and facts]. Epidemiologia e prevenzione, 39(4), 218-9.
Luzzatto, Lucio. "Oncogenesi: le teorie e i fatti." [Oncogenesis: theories and facts]. Epidemiologia e prevenzione vol. 39,4 (2015): 218-9.
Luzzatto L. Oncogenesi: le teorie e i fatti. [Oncogenesis: theories and facts]. Epidemiol Prev. 2015 Jul-Aug;39(4):218-9. Italian. PMID: 26499232.
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Analytical approximations for spatial stochastic gene expression in single cells and tissues.

Journal of the Royal Society, Interface

Smith S, Cianci C, Grima R.
PMID: 27146686
J R Soc Interface. 2016 May;13(118). doi: 10.1098/rsif.2015.1051.

Gene expression occurs in an environment in which both stochastic and diffusive effects are significant. Spatial stochastic simulations are computationally expensive compared with their deterministic counterparts, and hence little is currently known of the significance of intrinsic noise in...

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Smith S, Cianci C, Grima R. Analytical approximations for spatial stochastic gene expression in single cells and tissues. J R Soc Interface. 2016;13(118)doi: 10.1098/rsif.2015.1051.
Smith, S., Cianci, C., & Grima, R. (2016). Analytical approximations for spatial stochastic gene expression in single cells and tissues. Journal of the Royal Society, Interface, 13(118), . https://doi.org/10.1098/rsif.2015.1051
Smith, Stephen, et al. "Analytical approximations for spatial stochastic gene expression in single cells and tissues." Journal of the Royal Society, Interface vol. 13,118 (2016). doi: https://doi.org/10.1098/rsif.2015.1051
Smith S, Cianci C, Grima R. Analytical approximations for spatial stochastic gene expression in single cells and tissues. J R Soc Interface. 2016 May;13(118). doi: 10.1098/rsif.2015.1051. PMID: 27146686; PMCID: PMC4892255.
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Heart failure entails significant changes in human nucleocytoplasmic transport gene expression.

International journal of cardiology

Molina-Navarro MM, Roselló-Lletí E, Tarazón E, Ortega A, Sánchez-Izquierdo D, Lago F, González-Juanatey JR, García-Pavía P, Salvador A, Montero JA, Portolés M, Rivera M.
PMID: 23651824
Int J Cardiol. 2013 Oct 03;168(3):2837-43. doi: 10.1016/j.ijcard.2013.03.192. Epub 2013 May 04.

BACKGROUND: Heart failure (HF) induces alterations in nucleocytoplasmic transport, which is essential to the cardiomyocyte biology. The objective of this study was to analyze the changes in gene expression in human HF, particularly focusing on nucleocytoplasmic transport-related genes.METHODS AND...

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Molina-Navarro MM, Roselló-Lletí E, Tarazón E, et al. Heart failure entails significant changes in human nucleocytoplasmic transport gene expression. Int J Cardiol. 2013;168(3):2837-43doi: 10.1016/j.ijcard.2013.03.192.
Molina-Navarro, M. M., Roselló-Lletí, E., Tarazón, E., Ortega, A., Sánchez-Izquierdo, D., Lago, F., González-Juanatey, J. R., García-Pavía, P., Salvador, A., Montero, J. A., Portolés, M., & Rivera, M. (2013). Heart failure entails significant changes in human nucleocytoplasmic transport gene expression. International journal of cardiology, 168(3), 2837-43. https://doi.org/10.1016/j.ijcard.2013.03.192
Molina-Navarro, Maria Micaela, et al. "Heart failure entails significant changes in human nucleocytoplasmic transport gene expression." International journal of cardiology vol. 168,3 (2013): 2837-43. doi: https://doi.org/10.1016/j.ijcard.2013.03.192
Molina-Navarro MM, Roselló-Lletí E, Tarazón E, Ortega A, Sánchez-Izquierdo D, Lago F, González-Juanatey JR, García-Pavía P, Salvador A, Montero JA, Portolés M, Rivera M. Heart failure entails significant changes in human nucleocytoplasmic transport gene expression. Int J Cardiol. 2013 Oct 03;168(3):2837-43. doi: 10.1016/j.ijcard.2013.03.192. Epub 2013 May 04. PMID: 23651824.
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Finding alternative expression quantitative trait loci by exploring sparse model space.

Journal of computational biology : a journal of computational molecular cell biology

Wang Z, Xu J, Shi X.
PMID: 24689773
J Comput Biol. 2014 May;21(5):385-93. doi: 10.1089/cmb.2014.0026. Epub 2014 Apr 01.

Sparse modeling, a feature selection method widely used in the machine-learning community, has been recently applied to identify associations in genetic studies including expression quantitative trait locus (eQTL) mapping. These genetic studies usually involve high dimensional data where the...

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Wang Z, Xu J, Shi X. Finding alternative expression quantitative trait loci by exploring sparse model space. J Comput Biol. 2014;21(5):385-93doi: 10.1089/cmb.2014.0026.
Wang, Z., Xu, J., & Shi, X. (2014). Finding alternative expression quantitative trait loci by exploring sparse model space. Journal of computational biology : a journal of computational molecular cell biology, 21(5), 385-93. https://doi.org/10.1089/cmb.2014.0026
Wang, Zhiyong, et al. "Finding alternative expression quantitative trait loci by exploring sparse model space." Journal of computational biology : a journal of computational molecular cell biology vol. 21,5 (2014): 385-93. doi: https://doi.org/10.1089/cmb.2014.0026
Wang Z, Xu J, Shi X. Finding alternative expression quantitative trait loci by exploring sparse model space. J Comput Biol. 2014 May;21(5):385-93. doi: 10.1089/cmb.2014.0026. Epub 2014 Apr 01. PMID: 24689773; PMCID: PMC4010169.
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From genes to networks: in systematic points of view.

BMC systems biology

Zhang K, Liu Y, Yang JY, Arabnia HR, Niemierko A, Ghafoor A, Li W, Deng Y.
PMID: 22784614
BMC Syst Biol. 2011;5:I1. doi: 10.1186/1752-0509-5-S3-I1. Epub 2011 Dec 23.

We present a report of the BIOCOMP'10 - The 2010 International Conference on Bioinformatics & Computational Biology and other related work in the area of systems biology.

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Zhang K, Liu Y, Yang JY, et al. From genes to networks: in systematic points of view. BMC Syst Biol. 2011;5:I1doi: 10.1186/1752-0509-5-S3-I1.
Zhang, K., Liu, Y., Yang, J. Y., Arabnia, H. R., Niemierko, A., Ghafoor, A., Li, W., & Deng, Y. (2011). From genes to networks: in systematic points of view. BMC systems biology, 5I1. https://doi.org/10.1186/1752-0509-5-S3-I1
Zhang, Ke, et al. "From genes to networks: in systematic points of view." BMC systems biology vol. 5 (2011): I1. doi: https://doi.org/10.1186/1752-0509-5-S3-I1
Zhang K, Liu Y, Yang JY, Arabnia HR, Niemierko A, Ghafoor A, Li W, Deng Y. From genes to networks: in systematic points of view. BMC Syst Biol. 2011;5:I1. doi: 10.1186/1752-0509-5-S3-I1. Epub 2011 Dec 23. PMID: 22784614; PMCID: PMC3287563.
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Small RNA regulators in bacteria: powerful tools for metabolic engineering and synthetic biology.

Applied microbiology and biotechnology

Kang Z, Zhang C, Zhang J, Jin P, Zhang J, Du G, Chen J.
PMID: 24519458
Appl Microbiol Biotechnol. 2014 Apr;98(8):3413-24. doi: 10.1007/s00253-014-5569-y. Epub 2014 Feb 12.

Small RNAs, a large class of ancient posttranscriptional regulators, have recently attracted considerable attention. A plethora of small RNAs has been identified and characterized, many of which belong to the major small noncoding RNA (sRNA) or riboswitch families. It...

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Kang Z, Zhang C, Zhang J, et al. Small RNA regulators in bacteria: powerful tools for metabolic engineering and synthetic biology. Appl Microbiol Biotechnol. 2014;98(8):3413-24doi: 10.1007/s00253-014-5569-y.
Kang, Z., Zhang, C., Zhang, J., Jin, P., Zhang, J., Du, G., & Chen, J. (2014). Small RNA regulators in bacteria: powerful tools for metabolic engineering and synthetic biology. Applied microbiology and biotechnology, 98(8), 3413-24. https://doi.org/10.1007/s00253-014-5569-y
Kang, Zhen, et al. "Small RNA regulators in bacteria: powerful tools for metabolic engineering and synthetic biology." Applied microbiology and biotechnology vol. 98,8 (2014): 3413-24. doi: https://doi.org/10.1007/s00253-014-5569-y
Kang Z, Zhang C, Zhang J, Jin P, Zhang J, Du G, Chen J. Small RNA regulators in bacteria: powerful tools for metabolic engineering and synthetic biology. Appl Microbiol Biotechnol. 2014 Apr;98(8):3413-24. doi: 10.1007/s00253-014-5569-y. Epub 2014 Feb 12. PMID: 24519458.
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Mature microRNAs identified in highly purified nuclei from HCT116 colon cancer cells.

RNA biology

Park CW, Zeng Y, Zhang X, Subramanian S, Steer CJ.
PMID: 20864815
RNA Biol. 2010 Sep-Oct;7(5):606-14. doi: 10.4161/rna.7.5.13215. Epub 2010 Sep 01.

MicroRNAs (miRNAs) have emerged as one of the major regulatory mechanisms of gene expression. A major function of miRNAs involves the post-transcriptional regulation of target mRNAs, which is reported to occur primarily in the cytoplasm. However, there is a...

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Park CW, Zeng Y, Zhang X, et al. Mature microRNAs identified in highly purified nuclei from HCT116 colon cancer cells. RNA Biol. 2010;7(5):606-14doi: 10.4161/rna.7.5.13215.
Park, C. W., Zeng, Y., Zhang, X., Subramanian, S., & Steer, C. J. (2010). Mature microRNAs identified in highly purified nuclei from HCT116 colon cancer cells. RNA biology, 7(5), 606-14. https://doi.org/10.4161/rna.7.5.13215
Park, Chang Won, et al. "Mature microRNAs identified in highly purified nuclei from HCT116 colon cancer cells." RNA biology vol. 7,5 (2010): 606-14. doi: https://doi.org/10.4161/rna.7.5.13215
Park CW, Zeng Y, Zhang X, Subramanian S, Steer CJ. Mature microRNAs identified in highly purified nuclei from HCT116 colon cancer cells. RNA Biol. 2010 Sep-Oct;7(5):606-14. doi: 10.4161/rna.7.5.13215. Epub 2010 Sep 01. PMID: 20864815; PMCID: PMC3073257.
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Insights into the regulation of human CNV-miRNAs from the view of their target genes.

BMC genomics

Wu X, Zhang D, Li G.
PMID: 23244579
BMC Genomics. 2012 Dec 18;13:707. doi: 10.1186/1471-2164-13-707.

BACKGROUND: microRNAs (miRNAs) represent a class of small (typically 22 nucleotides in length) non-coding RNAs that can degrade their target mRNAs or block their translation. Recent research showed that copy number alterations of miRNAs and their target genes are...

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Wu X, Zhang D, Li G. Insights into the regulation of human CNV-miRNAs from the view of their target genes. BMC Genomics. 2012;13:707doi: 10.1186/1471-2164-13-707.
Wu, X., Zhang, D., & Li, G. (2012). Insights into the regulation of human CNV-miRNAs from the view of their target genes. BMC genomics, 13707. https://doi.org/10.1186/1471-2164-13-707
Wu, Xudong, et al. "Insights into the regulation of human CNV-miRNAs from the view of their target genes." BMC genomics vol. 13 (2012): 707. doi: https://doi.org/10.1186/1471-2164-13-707
Wu X, Zhang D, Li G. Insights into the regulation of human CNV-miRNAs from the view of their target genes. BMC Genomics. 2012 Dec 18;13:707. doi: 10.1186/1471-2164-13-707. PMID: 23244579; PMCID: PMC3582595.
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A systems biology approach to understanding atherosclerosis.

EMBO molecular medicine

Ramsey SA, Gold ES, Aderem A.
PMID: 20201031
EMBO Mol Med. 2010 Mar;2(3):79-89. doi: 10.1002/emmm.201000063.

Atherosclerosis, a chronic inflammatory disease of the vascular system, presents significant challenges to developing effective molecular diagnostics and novel therapies. A systems biology approach integrating data from large-scale measurements (e.g. transcriptomics, proteomics and genomics) is successfully contributing to deciphering...

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Ramsey SA, Gold ES, Aderem A. A systems biology approach to understanding atherosclerosis. EMBO Mol Med. 2010;2(3):79-89doi: 10.1002/emmm.201000063.
Ramsey, S. A., Gold, E. S., & Aderem, A. (2010). A systems biology approach to understanding atherosclerosis. EMBO molecular medicine, 2(3), 79-89. https://doi.org/10.1002/emmm.201000063
Ramsey, Stephen A, et al. "A systems biology approach to understanding atherosclerosis." EMBO molecular medicine vol. 2,3 (2010): 79-89. doi: https://doi.org/10.1002/emmm.201000063
Ramsey SA, Gold ES, Aderem A. A systems biology approach to understanding atherosclerosis. EMBO Mol Med. 2010 Mar;2(3):79-89. doi: 10.1002/emmm.201000063. PMID: 20201031; PMCID: PMC2992755.
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Estimation of gene induction enables a relevance-based ranking of gene sets.

Journal of computational biology : a journal of computational molecular cell biology

Bartholomé K, Kreutz C, Timmer J.
PMID: 19580524
J Comput Biol. 2009 Jul;16(7):959-67. doi: 10.1089/cmb.2008.0226.

In order to handle and interpret the vast amounts of data produced by microarray experiments, the analysis of sets of genes with a common biological functionality has been shown to be advantageous compared to single gene analyses. Some statistical...

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Bartholomé K, Kreutz C, Timmer J. Estimation of gene induction enables a relevance-based ranking of gene sets. J Comput Biol. 2009;16(7):959-67doi: 10.1089/cmb.2008.0226.
Bartholomé, K., Kreutz, C., & Timmer, J. (2009). Estimation of gene induction enables a relevance-based ranking of gene sets. Journal of computational biology : a journal of computational molecular cell biology, 16(7), 959-67. https://doi.org/10.1089/cmb.2008.0226
Bartholomé, Kilian, et al. "Estimation of gene induction enables a relevance-based ranking of gene sets." Journal of computational biology : a journal of computational molecular cell biology vol. 16,7 (2009): 959-67. doi: https://doi.org/10.1089/cmb.2008.0226
Bartholomé K, Kreutz C, Timmer J. Estimation of gene induction enables a relevance-based ranking of gene sets. J Comput Biol. 2009 Jul;16(7):959-67. doi: 10.1089/cmb.2008.0226. PMID: 19580524.
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Fruit improvement using intragenesis and artificial microRNA.

Trends in biotechnology

Molesini B, Pii Y, Pandolfini T.
PMID: 21871680
Trends Biotechnol. 2012 Feb;30(2):80-8. doi: 10.1016/j.tibtech.2011.07.005. Epub 2011 Aug 24.

Genetic engineering methods based on the use of transgenes have been successfully adopted to improve crops. A novel all-native DNA gene technology consists of the creation of intragenic constructs by isolating genetic elements from a crop, rearranging them in...

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Molesini B, Pii Y, Pandolfini T. Fruit improvement using intragenesis and artificial microRNA. Trends Biotechnol. 2011;30(2):80-8doi: 10.1016/j.tibtech.2011.07.005.
Molesini, B., Pii, Y., & Pandolfini, T. (2012). Fruit improvement using intragenesis and artificial microRNA. Trends in biotechnology, 30(2), 80-8. https://doi.org/10.1016/j.tibtech.2011.07.005
Molesini, Barbara, et al. "Fruit improvement using intragenesis and artificial microRNA." Trends in biotechnology vol. 30,2 (2012): 80-8. doi: https://doi.org/10.1016/j.tibtech.2011.07.005
Molesini B, Pii Y, Pandolfini T. Fruit improvement using intragenesis and artificial microRNA. Trends Biotechnol. 2012 Feb;30(2):80-8. doi: 10.1016/j.tibtech.2011.07.005. Epub 2011 Aug 24. PMID: 21871680.
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Showing 13 to 24 of 64 entries