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Showing 1 to 12 of 88 entries
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Prematurity and programming: contribution of neonatal Intensive Care Unit interventions.

Journal of developmental origins of health and disease

Kalhan SC, Wilson-Costello D.
PMID: 25054678
J Dev Orig Health Dis. 2013 Apr;4(2):121-33. doi: 10.1017/S204017441200061X.

Contemporary clinical practice for the care of the prematurely born babies has markedly improved their rates of survival so that most of these babies are expected to grow up to live a healthy functional life. Since the clinical follow-up...

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Kalhan SC, Wilson-Costello D. Prematurity and programming: contribution of neonatal Intensive Care Unit interventions. J Dev Orig Health Dis. 2013;4(2):121-33doi: 10.1017/S204017441200061X.
Kalhan, S. C., & Wilson-Costello, D. (2013). Prematurity and programming: contribution of neonatal Intensive Care Unit interventions. Journal of developmental origins of health and disease, 4(2), 121-33. https://doi.org/10.1017/S204017441200061X
Kalhan, S C, and Wilson-Costello, D. "Prematurity and programming: contribution of neonatal Intensive Care Unit interventions." Journal of developmental origins of health and disease vol. 4,2 (2013): 121-33. doi: https://doi.org/10.1017/S204017441200061X
Kalhan SC, Wilson-Costello D. Prematurity and programming: contribution of neonatal Intensive Care Unit interventions. J Dev Orig Health Dis. 2013 Apr;4(2):121-33. doi: 10.1017/S204017441200061X. PMID: 25054678; PMCID: PMC4115292.
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3D registration of intravascular optical coherence tomography and cryo-image volumes for microscopic-resolution validation.

Proceedings of SPIE--the International Society for Optical Engineering

Prabhu D, Mehanna E, Gargesha M, Wen D, Brandt E, van Ditzhuijzen NS, Chamie D, Yamamoto H, Fujino Y, Farmazilian A, Patel J, Costa M, Bezerra HG, Wilson DL.
PMID: 27162417
Proc SPIE Int Soc Opt Eng. 2016 Feb 27;9788. doi: 10.1117/12.2217537. Epub 2016 Mar 29.

High resolution, 100 frames/sec intravascular optical coherence tomography (IVOCT) can distinguish plaque types, but further validation is needed, especially for automated plaque characterization. We developed experimental and 3D registration methods, to provide validation of IVOCT pullback volumes using microscopic,...

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Prabhu D, Mehanna E, Gargesha M, et al. 3D registration of intravascular optical coherence tomography and cryo-image volumes for microscopic-resolution validation. Proc SPIE Int Soc Opt Eng. 2016;9788doi: 10.1117/12.2217537.
Prabhu, D., Mehanna, E., Gargesha, M., Wen, D., Brandt, E., van Ditzhuijzen, N. S., Chamie, D., Yamamoto, H., Fujino, Y., Farmazilian, A., Patel, J., Costa, M., Bezerra, H. G., & Wilson, D. L. (2016). 3D registration of intravascular optical coherence tomography and cryo-image volumes for microscopic-resolution validation. Proceedings of SPIE--the International Society for Optical Engineering, 9788. https://doi.org/10.1117/12.2217537
Prabhu, David, et al. "3D registration of intravascular optical coherence tomography and cryo-image volumes for microscopic-resolution validation." Proceedings of SPIE--the International Society for Optical Engineering vol. 9788 (2016). doi: https://doi.org/10.1117/12.2217537
Prabhu D, Mehanna E, Gargesha M, Wen D, Brandt E, van Ditzhuijzen NS, Chamie D, Yamamoto H, Fujino Y, Farmazilian A, Patel J, Costa M, Bezerra HG, Wilson DL. 3D registration of intravascular optical coherence tomography and cryo-image volumes for microscopic-resolution validation. Proc SPIE Int Soc Opt Eng. 2016 Feb 27;9788. doi: 10.1117/12.2217537. Epub 2016 Mar 29. PMID: 27162417; PMCID: PMC4859892.
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Quantitative autism symptom patterns recapitulate differential mechanisms of genetic transmission in single and multiple incidence families.

Molecular autism

Frazier TW, Youngstrom EA, Hardan AY, Georgiades S, Constantino JN, Eng C.
PMID: 26512313
Mol Autism. 2015 Oct 27;6:58. doi: 10.1186/s13229-015-0050-z. eCollection 2015.

BACKGROUND: Previous studies have demonstrated aggregation of autistic traits in undiagnosed family members of children with autism spectrum disorder (ASD), which has significant implications for ASD risk in their offspring. This study capitalizes upon a large, quantitatively characterized clinical-epidemiologic...

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Frazier TW, Youngstrom EA, Hardan AY, et al. Quantitative autism symptom patterns recapitulate differential mechanisms of genetic transmission in single and multiple incidence families. Mol Autism. 2015;6:58doi: 10.1186/s13229-015-0050-z.
Frazier, T. W., Youngstrom, E. A., Hardan, A. Y., Georgiades, S., Constantino, J. N., & Eng, C. (2015). Quantitative autism symptom patterns recapitulate differential mechanisms of genetic transmission in single and multiple incidence families. Molecular autism, 658. https://doi.org/10.1186/s13229-015-0050-z
Frazier, Thomas W, et al. "Quantitative autism symptom patterns recapitulate differential mechanisms of genetic transmission in single and multiple incidence families." Molecular autism vol. 6 (2015): 58. doi: https://doi.org/10.1186/s13229-015-0050-z
Frazier TW, Youngstrom EA, Hardan AY, Georgiades S, Constantino JN, Eng C. Quantitative autism symptom patterns recapitulate differential mechanisms of genetic transmission in single and multiple incidence families. Mol Autism. 2015 Oct 27;6:58. doi: 10.1186/s13229-015-0050-z. eCollection 2015. PMID: 26512313; PMCID: PMC4623917.
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Recipes for collaborative practice improvement and community development for health.

London journal of primary care

Stange KC, Gullett H.
PMID: 25949678
London J Prim Care (Abingdon). 2012;5(1):96-9. doi: 10.1080/17571472.2013.11493388. Epub 2013 May 28.

No abstract available.

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Stange KC, Gullett H. Recipes for collaborative practice improvement and community development for health. London J Prim Care (Abingdon). 2013;5(1):96-9doi: 10.1080/17571472.2013.11493388.
Stange, K. C., & Gullett, H. (2012). Recipes for collaborative practice improvement and community development for health. London journal of primary care, 5(1), 96-9. https://doi.org/10.1080/17571472.2013.11493388
Stange, Kurt C, and Gullett, Heidi. "Recipes for collaborative practice improvement and community development for health." London journal of primary care vol. 5,1 (2012): 96-9. doi: https://doi.org/10.1080/17571472.2013.11493388
Stange KC, Gullett H. Recipes for collaborative practice improvement and community development for health. London J Prim Care (Abingdon). 2012;5(1):96-9. doi: 10.1080/17571472.2013.11493388. Epub 2013 May 28. PMID: 25949678; PMCID: PMC4413701.
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H3K4me3 inversely correlates with DNA methylation at a large class of non-CpG-island-containing start sites.

Genome medicine

Balasubramanian D, Akhtar-Zaidi B, Song L, Bartels CF, Veigl M, Beard L, Myeroff L, Guda K, Lutterbaugh J, Willis J, Crawford GE, Markowitz SD, Scacheri PC.
PMID: 22640407
Genome Med. 2012 May 28;4(5):47. doi: 10.1186/gm346.

BACKGROUND: In addition to mutations, epigenetic silencing of genes has been recognized as a fundamental mechanism that promotes human carcinogenesis. To date, characterization of epigenetic gene silencing has largely focused on genes in which silencing is mediated by hypermethylation...

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Balasubramanian D, Akhtar-Zaidi B, Song L, et al. H3K4me3 inversely correlates with DNA methylation at a large class of non-CpG-island-containing start sites. Genome Med. 2012;4(5):47doi: 10.1186/gm346.
Balasubramanian, D., Akhtar-Zaidi, B., Song, L., Bartels, C. F., Veigl, M., Beard, L., Myeroff, L., Guda, K., Lutterbaugh, J., Willis, J., Crawford, G. E., Markowitz, S. D., & Scacheri, P. C. (2012). H3K4me3 inversely correlates with DNA methylation at a large class of non-CpG-island-containing start sites. Genome medicine, 4(5), 47. https://doi.org/10.1186/gm346
Balasubramanian, Dheepa, et al. "H3K4me3 inversely correlates with DNA methylation at a large class of non-CpG-island-containing start sites." Genome medicine vol. 4,5 (2012): 47. doi: https://doi.org/10.1186/gm346
Balasubramanian D, Akhtar-Zaidi B, Song L, Bartels CF, Veigl M, Beard L, Myeroff L, Guda K, Lutterbaugh J, Willis J, Crawford GE, Markowitz SD, Scacheri PC. H3K4me3 inversely correlates with DNA methylation at a large class of non-CpG-island-containing start sites. Genome Med. 2012 May 28;4(5):47. doi: 10.1186/gm346. PMID: 22640407; PMCID: PMC3506913.
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Discord of biological and psychological measures in a group of depressed african american and white cancer patients.

The open nursing journal

Zhang AY.
PMID: 22135714
Open Nurs J. 2011;5:60-4. doi: 10.2174/1874434601105010060. Epub 2011 Sep 30.

OBJECTIVE: This study examined racial differences in the self-report of depressive symptoms by reference to biological states.METHODS: The study used a convenience sample of 20 depressed cancer patients (CES-D ≥16) (15 African Americans and 5 Whites). Subjects completed depression...

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Zhang AY. Discord of biological and psychological measures in a group of depressed african american and white cancer patients. Open Nurs J. 2011;5:60-4doi: 10.2174/1874434601105010060.
Zhang, A. Y. (2011). Discord of biological and psychological measures in a group of depressed african american and white cancer patients. The open nursing journal, 560-4. https://doi.org/10.2174/1874434601105010060
Zhang, Amy Y. "Discord of biological and psychological measures in a group of depressed african american and white cancer patients." The open nursing journal vol. 5 (2011): 60-4. doi: https://doi.org/10.2174/1874434601105010060
Zhang AY. Discord of biological and psychological measures in a group of depressed african american and white cancer patients. Open Nurs J. 2011;5:60-4. doi: 10.2174/1874434601105010060. Epub 2011 Sep 30. PMID: 22135714; PMCID: PMC3227875.
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Respiratory and behavioral dysfunction following loss of the GABAA receptor α4 subunit.

Brain and behavior

Loria CJ, Stevens AM, Crummy E, Casadesus G, Jacono FJ, Dick TE, Siegel RE.
PMID: 23533098
Brain Behav. 2013 Mar;3(2):104-13. doi: 10.1002/brb3.122. Epub 2013 Feb 05.

γ-Aminobutyric acid type A (GABAA) receptor plasticity participates in mediating adaptation to environmental change. Previous studies in rats demonstrated that extrasynaptic GABAA receptor subunits and receptors in the pons, a brainstem region involved in respiratory control, are upregulated by...

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Loria CJ, Stevens AM, Crummy E, et al. Respiratory and behavioral dysfunction following loss of the GABAA receptor α4 subunit. Brain Behav. 2013;3(2):104-13doi: 10.1002/brb3.122.
Loria, C. J., Stevens, A. M., Crummy, E., Casadesus, G., Jacono, F. J., Dick, T. E., & Siegel, R. E. (2013). Respiratory and behavioral dysfunction following loss of the GABAA receptor α4 subunit. Brain and behavior, 3(2), 104-13. https://doi.org/10.1002/brb3.122
Loria, C Jean, et al. "Respiratory and behavioral dysfunction following loss of the GABAA receptor α4 subunit." Brain and behavior vol. 3,2 (2013): 104-13. doi: https://doi.org/10.1002/brb3.122
Loria CJ, Stevens AM, Crummy E, Casadesus G, Jacono FJ, Dick TE, Siegel RE. Respiratory and behavioral dysfunction following loss of the GABAA receptor α4 subunit. Brain Behav. 2013 Mar;3(2):104-13. doi: 10.1002/brb3.122. Epub 2013 Feb 05. PMID: 23533098; PMCID: PMC3607152.
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Estimating smooth distribution function in the presence of heteroscedastic measurement errors.

Computational statistics & data analysis

Wang XF, Fan Z, Wang B.
PMID: 20160998
Comput Stat Data Anal. 2010 Jan 01;54(1):25-36. doi: 10.1016/j.csda.2009.08.012.

Measurement error occurs in many biomedical fields. The challenges arise when errors are heteroscedastic since we literally have only one observation for each error distribution. This paper concerns the estimation of smooth distribution function when data are contaminated with...

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Wang XF, Fan Z, Wang B. Estimating smooth distribution function in the presence of heteroscedastic measurement errors. Comput Stat Data Anal. 2010;54(1):25-36doi: 10.1016/j.csda.2009.08.012.
Wang, X. F., Fan, Z., & Wang, B. (2010). Estimating smooth distribution function in the presence of heteroscedastic measurement errors. Computational statistics & data analysis, 54(1), 25-36. https://doi.org/10.1016/j.csda.2009.08.012
Wang, Xiao-Feng, et al. "Estimating smooth distribution function in the presence of heteroscedastic measurement errors." Computational statistics & data analysis vol. 54,1 (2010): 25-36. doi: https://doi.org/10.1016/j.csda.2009.08.012
Wang XF, Fan Z, Wang B. Estimating smooth distribution function in the presence of heteroscedastic measurement errors. Comput Stat Data Anal. 2010 Jan 01;54(1):25-36. doi: 10.1016/j.csda.2009.08.012. PMID: 20160998; PMCID: PMC2756710.
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Synergistic interaction between C5a and NOD2 signaling in the regulation of chemokine expression in RAW 264.7 macrophages.

Advances in bioscience and biotechnology (Print)

Tang H, Amara U, Tang D, Barnes MA, McDonald C, Nagy LE.
PMID: 24634797
Adv Biosci Biotechnol. 2013 Aug;4(8):30-37. doi: 10.4236/abb.2013.48A3004.

The innate immune response is a complex process involving multiple pathogen-recognition receptors, including toll-like receptors (TLRs) and nucleotide-binding oligomerization domain (NOD)-like receptors. Complement is also a critical component of innate immunity. While complement is known to interact with TLR-mediated...

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Tang H, Amara U, Tang D, et al. Synergistic interaction between C5a and NOD2 signaling in the regulation of chemokine expression in RAW 264.7 macrophages. Adv Biosci Biotechnol. 2013;4(8):30-37doi: 10.4236/abb.2013.48A3004.
Tang, H., Amara, U., Tang, D., Barnes, M. A., McDonald, C., & Nagy, L. E. (2013). Synergistic interaction between C5a and NOD2 signaling in the regulation of chemokine expression in RAW 264.7 macrophages. Advances in bioscience and biotechnology (Print), 4(8), 30-37. https://doi.org/10.4236/abb.2013.48A3004
Tang, Hui, et al. "Synergistic interaction between C5a and NOD2 signaling in the regulation of chemokine expression in RAW 264.7 macrophages." Advances in bioscience and biotechnology (Print) vol. 4,8 (2013): 30-37. doi: https://doi.org/10.4236/abb.2013.48A3004
Tang H, Amara U, Tang D, Barnes MA, McDonald C, Nagy LE. Synergistic interaction between C5a and NOD2 signaling in the regulation of chemokine expression in RAW 264.7 macrophages. Adv Biosci Biotechnol. 2013 Aug;4(8):30-37. doi: 10.4236/abb.2013.48A3004. PMID: 24634797; PMCID: PMC3952140.
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VISAGE: A Query Interface for Clinical Research.

Summit on translational bioinformatics

Zhang GQ, Siegler T, Saxman P, Sandberg N, Mueller R, Johnson N, Hunscher D, Arabandi S.
PMID: 21347154
Summit Transl Bioinform. 2010 Mar 01;2010:76-80.

We present the design and implementation of VISAGE (VISual AGgregator and Explorer), a query interface for clinical research. We follow a user-centered development approach and incorporate visual, ontological, searchable and explorative features in three interrelated components: Query Builder, Query...

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Zhang GQ, Siegler T, Saxman P, et al. VISAGE: A Query Interface for Clinical Research. Summit Transl Bioinform. 2010;2010:76-80
Zhang, G. Q., Siegler, T., Saxman, P., Sandberg, N., Mueller, R., Johnson, N., Hunscher, D., & Arabandi, S. (2010). VISAGE: A Query Interface for Clinical Research. Summit on translational bioinformatics, 201076-80.
Zhang, Guo-Qiang, et al. "VISAGE: A Query Interface for Clinical Research." Summit on translational bioinformatics vol. 2010 (2010): 76-80.
Zhang GQ, Siegler T, Saxman P, Sandberg N, Mueller R, Johnson N, Hunscher D, Arabandi S. VISAGE: A Query Interface for Clinical Research. Summit Transl Bioinform. 2010 Mar 01;2010:76-80. PMID: 21347154; PMCID: PMC3041531.
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Conditional Density Estimation in Measurement Error Problems.

Journal of multivariate analysis

Wang XF, Ye D.
PMID: 25284902
J Multivar Anal. 2015 Jan 01;133:38-50. doi: 10.1016/j.jmva.2014.08.011.

This paper is motivated by a wide range of background correction problems in gene array data analysis, where the raw gene expression intensities are measured with error. Estimating a conditional density function from the contaminated expression data is a...

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Wang XF, Ye D. Conditional Density Estimation in Measurement Error Problems. J Multivar Anal. 2015;133:38-50doi: 10.1016/j.jmva.2014.08.011.
Wang, X. F., & Ye, D. (2015). Conditional Density Estimation in Measurement Error Problems. Journal of multivariate analysis, 13338-50. https://doi.org/10.1016/j.jmva.2014.08.011
Wang, Xiao-Feng, and Ye, Deping. "Conditional Density Estimation in Measurement Error Problems." Journal of multivariate analysis vol. 133 (2015): 38-50. doi: https://doi.org/10.1016/j.jmva.2014.08.011
Wang XF, Ye D. Conditional Density Estimation in Measurement Error Problems. J Multivar Anal. 2015 Jan 01;133:38-50. doi: 10.1016/j.jmva.2014.08.011. PMID: 25284902; PMCID: PMC4183069.
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dNTP Supply Gene Expression Patterns after P53 Loss.

Cancers

Radivoyevitch T, Saunthararajah Y, Pink J, Ferris G, Lent I, Jackson M, Junk D, Kunos CA.
PMID: 23205301
Cancers (Basel). 2012 Nov 20;4(4):1212-24. doi: 10.3390/cancers4041212.

Loss of the transcription factor p53 implies mRNA losses of target genes such as the p53R2 subunit of human ribonucleotide reductase (RNR). We hypothesized that other genes in the dNTP supply system would compensate for such p53R2 losses and...

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Radivoyevitch T, Saunthararajah Y, Pink J, et al. dNTP Supply Gene Expression Patterns after P53 Loss. Cancers (Basel). 2012;4(4):1212-24doi: 10.3390/cancers4041212.
Radivoyevitch, T., Saunthararajah, Y., Pink, J., Ferris, G., Lent, I., Jackson, M., Junk, D., & Kunos, C. A. (2012). dNTP Supply Gene Expression Patterns after P53 Loss. Cancers, 4(4), 1212-24. https://doi.org/10.3390/cancers4041212
Radivoyevitch, Tomas, et al. "dNTP Supply Gene Expression Patterns after P53 Loss." Cancers vol. 4,4 (2012): 1212-24. doi: https://doi.org/10.3390/cancers4041212
Radivoyevitch T, Saunthararajah Y, Pink J, Ferris G, Lent I, Jackson M, Junk D, Kunos CA. dNTP Supply Gene Expression Patterns after P53 Loss. Cancers (Basel). 2012 Nov 20;4(4):1212-24. doi: 10.3390/cancers4041212. PMID: 23205301; PMCID: PMC3509543.
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Showing 1 to 12 of 88 entries