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Showing 1 to 12 of 752 entries
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Apocrine Metaplasia in Intraductal Papilloma with Foci of DCIS: A Friend or Foe?.

Iranian journal of pathology

Mallick D, Aniruna A, Gon S, Ghosh G.
PMID: 27499780
Iran J Pathol. 2016;11(2):167-70.

Malignant papillary neoplasms of the breast comprise a number of microscopically distinct lesions, where apocrine metaplasia is commonly found in papillomas compared to other papillary lesions including papillary carcinomas. However, association of apocrine metaplasia in papilloma with Ductal Carcinoma...

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Mallick D, Aniruna A, Gon S, et al. Apocrine Metaplasia in Intraductal Papilloma with Foci of DCIS: A Friend or Foe?. Iran J Pathol. 2016;11(2):167-70
Mallick, D., Aniruna, A., Gon, S., & Ghosh, G. (2016). Apocrine Metaplasia in Intraductal Papilloma with Foci of DCIS: A Friend or Foe?. Iranian journal of pathology, 11(2), 167-70.
Mallick, Debjani, et al. "Apocrine Metaplasia in Intraductal Papilloma with Foci of DCIS: A Friend or Foe?." Iranian journal of pathology vol. 11,2 (2016): 167-70.
Mallick D, Aniruna A, Gon S, Ghosh G. Apocrine Metaplasia in Intraductal Papilloma with Foci of DCIS: A Friend or Foe?. Iran J Pathol. 2016;11(2):167-70. PMID: 27499780; PMCID: PMC4939649.
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Sounding out optical phonons.

Science (New York, N.Y.)

Juraschek DM, Spaldin NA.
PMID: 28860373
Science. 2017 Sep 01;357(6354):873-874. doi: 10.1126/science.aao2446.

No abstract available.

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Juraschek DM, Spaldin NA. Sounding out optical phonons. Science. 2017;357(6354):873-874doi: 10.1126/science.aao2446.
Juraschek, D. M., & Spaldin, N. A. (2017). Sounding out optical phonons. Science (New York, N.Y.), 357(6354), 873-874. https://doi.org/10.1126/science.aao2446
Juraschek, Dominik M, and Spaldin, Nicola A. "Sounding out optical phonons." Science (New York, N.Y.) vol. 357,6354 (2017): 873-874. doi: https://doi.org/10.1126/science.aao2446
Juraschek DM, Spaldin NA. Sounding out optical phonons. Science. 2017 Sep 01;357(6354):873-874. doi: 10.1126/science.aao2446. PMID: 28860373.
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Utility of Genomic Analysis in Differentiating Synchronous and Metachronous Lung Adenocarcinomas from Primary Adenocarcinomas with Intrapulmonary Metastasis.

Translational oncology

Saab J, Zia H, Mathew S, Kluk M, Narula N, Fernandes H.
PMID: 28448960
Transl Oncol. 2017 Jun;10(3):442-449. doi: 10.1016/j.tranon.2017.02.009. Epub 2017 Apr 25.

Distinguishing synchronous and metachronous primary lung adenocarcinomas from adenocarcinomas with intrapulmonary metastasis is essential for optimal patient management. In this study, multiple lung adenocarcinomas occurring in the same patient were evaluated using comprehensive histopathologic evaluation supplemented with molecular analysis....

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Saab J, Zia H, Mathew S, et al. Utility of Genomic Analysis in Differentiating Synchronous and Metachronous Lung Adenocarcinomas from Primary Adenocarcinomas with Intrapulmonary Metastasis. Transl Oncol. 2017;10(3):442-449doi: 10.1016/j.tranon.2017.02.009.
Saab, J., Zia, H., Mathew, S., Kluk, M., Narula, N., & Fernandes, H. (2017). Utility of Genomic Analysis in Differentiating Synchronous and Metachronous Lung Adenocarcinomas from Primary Adenocarcinomas with Intrapulmonary Metastasis. Translational oncology, 10(3), 442-449. https://doi.org/10.1016/j.tranon.2017.02.009
Saab, Jad, et al. "Utility of Genomic Analysis in Differentiating Synchronous and Metachronous Lung Adenocarcinomas from Primary Adenocarcinomas with Intrapulmonary Metastasis." Translational oncology vol. 10,3 (2017): 442-449. doi: https://doi.org/10.1016/j.tranon.2017.02.009
Saab J, Zia H, Mathew S, Kluk M, Narula N, Fernandes H. Utility of Genomic Analysis in Differentiating Synchronous and Metachronous Lung Adenocarcinomas from Primary Adenocarcinomas with Intrapulmonary Metastasis. Transl Oncol. 2017 Jun;10(3):442-449. doi: 10.1016/j.tranon.2017.02.009. Epub 2017 Apr 25. PMID: 28448960; PMCID: PMC5406583.
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Risk Detection Among Asymptomatic Patients With Diabetes: Is It Time for a Varied Approach?.

JACC. Cardiovascular imaging

Shaw LJ, Chandrashekhar Y, Narula J.
PMID: 27832904
JACC Cardiovasc Imaging. 2016 Nov;9(11):1362-1365. doi: 10.1016/j.jcmg.2016.10.001.

No abstract available.

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Shaw LJ, Chandrashekhar Y, Narula J. Risk Detection Among Asymptomatic Patients With Diabetes: Is It Time for a Varied Approach?. JACC Cardiovasc Imaging. 2016;9(11):1362-1365doi: 10.1016/j.jcmg.2016.10.001.
Shaw, L. J., Chandrashekhar, Y., & Narula, J. (2016). Risk Detection Among Asymptomatic Patients With Diabetes: Is It Time for a Varied Approach?. JACC. Cardiovascular imaging, 9(11), 1362-1365. https://doi.org/10.1016/j.jcmg.2016.10.001
Shaw, Leslee J, et al. "Risk Detection Among Asymptomatic Patients With Diabetes: Is It Time for a Varied Approach?." JACC. Cardiovascular imaging vol. 9,11 (2016): 1362-1365. doi: https://doi.org/10.1016/j.jcmg.2016.10.001
Shaw LJ, Chandrashekhar Y, Narula J. Risk Detection Among Asymptomatic Patients With Diabetes: Is It Time for a Varied Approach?. JACC Cardiovasc Imaging. 2016 Nov;9(11):1362-1365. doi: 10.1016/j.jcmg.2016.10.001. PMID: 27832904.
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Interplay of neuronal and non-neuronal genes regulates intestinal DAF-16-mediated immune response during .

Cell death discovery

Nag P, Aggarwal PR, Ghosh S, Narula K, Tayal R, Maheshwari N, Chakraborty N, Chakraborty S.
PMID: 29152379
Cell Death Discov. 2017 Nov 13;3:17073. doi: 10.1038/cddiscovery.2017.73. eCollection 2017.

Although precisely controlled innate immune response is governed by conserved cellular events in phylogenetically diverse hosts, the underlying molecular mechanisms by which this process is regulated against a multi-host pathogen remain unknown.

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Nag P, Aggarwal PR, Ghosh S, et al. Interplay of neuronal and non-neuronal genes regulates intestinal DAF-16-mediated immune response during . Cell Death Discov. 2017;3:17073doi: 10.1038/cddiscovery.2017.73.
Nag, P., Aggarwal, P. R., Ghosh, S., Narula, K., Tayal, R., Maheshwari, N., Chakraborty, N., & Chakraborty, S. (2017). Interplay of neuronal and non-neuronal genes regulates intestinal DAF-16-mediated immune response during . Cell death discovery, 317073. https://doi.org/10.1038/cddiscovery.2017.73
Nag, Papri, et al. "Interplay of neuronal and non-neuronal genes regulates intestinal DAF-16-mediated immune response during ." Cell death discovery vol. 3 (2017): 17073. doi: https://doi.org/10.1038/cddiscovery.2017.73
Nag P, Aggarwal PR, Ghosh S, Narula K, Tayal R, Maheshwari N, Chakraborty N, Chakraborty S. Interplay of neuronal and non-neuronal genes regulates intestinal DAF-16-mediated immune response during . Cell Death Discov. 2017 Nov 13;3:17073. doi: 10.1038/cddiscovery.2017.73. eCollection 2017. PMID: 29152379; PMCID: PMC5684781.
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A 12-year-old boy with renal failure and haemoptysis.

Clinical kidney journal

Zeier MG, Chaturvedi S, Jahan A, Korula A, Agarwal I.
PMID: 26069836
Clin Kidney J. 2013 Dec;6(6):650-2. doi: 10.1093/ckj/sft136. Epub 2013 Nov 13.

No abstract available.

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Zeier MG, Chaturvedi S, Jahan A, et al. A 12-year-old boy with renal failure and haemoptysis. Clin Kidney J. 2013;6(6):650-2doi: 10.1093/ckj/sft136.
Zeier, M. G., Chaturvedi, S., Jahan, A., Korula, A., & Agarwal, I. (2013). A 12-year-old boy with renal failure and haemoptysis. Clinical kidney journal, 6(6), 650-2. https://doi.org/10.1093/ckj/sft136
Zeier, M G, et al. "A 12-year-old boy with renal failure and haemoptysis." Clinical kidney journal vol. 6,6 (2013): 650-2. doi: https://doi.org/10.1093/ckj/sft136
Zeier MG, Chaturvedi S, Jahan A, Korula A, Agarwal I. A 12-year-old boy with renal failure and haemoptysis. Clin Kidney J. 2013 Dec;6(6):650-2. doi: 10.1093/ckj/sft136. Epub 2013 Nov 13. PMID: 26069836; PMCID: PMC4438382.
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Interpreting predictive maps of disease: highlighting the pitfalls of distribution models in epidemiology.

Geospatial health

Wardrop NA, Geary M, Osborne PE, Atkinson PM.
PMID: 25545941
Geospat Health. 2014 Nov;9(1):237-46. doi: 10.4081/gh.2014.397.

The application of spatial modelling to epidemiology has increased significantly over the past decade, delivering enhanced understanding of the environmental and climatic factors affecting disease distributions and providing spatially continuous representations of disease risk (predictive maps). These outputs provide...

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Wardrop NA, Geary M, Osborne PE, et al. Interpreting predictive maps of disease: highlighting the pitfalls of distribution models in epidemiology. Geospat Health. 2014;9(1):237-46doi: 10.4081/gh.2014.397.
Wardrop, N. A., Geary, M., Osborne, P. E., & Atkinson, P. M. (2014). Interpreting predictive maps of disease: highlighting the pitfalls of distribution models in epidemiology. Geospatial health, 9(1), 237-46. https://doi.org/10.4081/gh.2014.397
Wardrop, Nicola A, et al. "Interpreting predictive maps of disease: highlighting the pitfalls of distribution models in epidemiology." Geospatial health vol. 9,1 (2014): 237-46. doi: https://doi.org/10.4081/gh.2014.397
Wardrop NA, Geary M, Osborne PE, Atkinson PM. Interpreting predictive maps of disease: highlighting the pitfalls of distribution models in epidemiology. Geospat Health. 2014 Nov;9(1):237-46. doi: 10.4081/gh.2014.397. PMID: 25545941.
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Metal assisted approach to develop molecularly imprinted mesoporous material exhibiting pockets for the fast uptake of diethyl phthalate as copper complex.

Analytical sciences : the international journal of the Japan Society for Analytical Chemistry

Kaur P, Narula P, Kaur V, Singh R, Kansal SK.
PMID: 24813960
Anal Sci. 2014;30(5):601-7. doi: 10.2116/analsci.30.601.

A new molecularly imprinted mesoporous material (MIM) containing specific pockets for the extraction of diethyl phthalate (DEP) as copper complex has been prepared for the first time. The mesoporous material was developed by utilizing copper-phthalate complex (Cu-DEP) as the...

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Kaur P, Narula P, Kaur V, et al. Metal assisted approach to develop molecularly imprinted mesoporous material exhibiting pockets for the fast uptake of diethyl phthalate as copper complex. Anal Sci. 2014;30(5):601-7doi: 10.2116/analsci.30.601.
Kaur, P., Narula, P., Kaur, V., Singh, R., & Kansal, S. K. (2014). Metal assisted approach to develop molecularly imprinted mesoporous material exhibiting pockets for the fast uptake of diethyl phthalate as copper complex. Analytical sciences : the international journal of the Japan Society for Analytical Chemistry, 30(5), 601-7. https://doi.org/10.2116/analsci.30.601
Kaur, Prabhjot, et al. "Metal assisted approach to develop molecularly imprinted mesoporous material exhibiting pockets for the fast uptake of diethyl phthalate as copper complex." Analytical sciences : the international journal of the Japan Society for Analytical Chemistry vol. 30,5 (2014): 601-7. doi: https://doi.org/10.2116/analsci.30.601
Kaur P, Narula P, Kaur V, Singh R, Kansal SK. Metal assisted approach to develop molecularly imprinted mesoporous material exhibiting pockets for the fast uptake of diethyl phthalate as copper complex. Anal Sci. 2014;30(5):601-7. doi: 10.2116/analsci.30.601. PMID: 24813960.
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Clinical classification of plaque morphology in coronary disease.

Nature reviews. Cardiology

Otsuka F, Joner M, Prati F, Virmani R, Narula J.
PMID: 24776706
Nat Rev Cardiol. 2014 Jul;11(7):379-89. doi: 10.1038/nrcardio.2014.62. Epub 2014 Apr 29.

In published post-mortem pathological studies, more than two-thirds of acute coronary events are associated with the rupture of lipid-rich, voluminous, and outwardly remodelled plaques covered by attenuated and inflamed fibrous caps in the proximal part of coronary arteries. Superficial...

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Otsuka F, Joner M, Prati F, et al. Clinical classification of plaque morphology in coronary disease. Nat Rev Cardiol. 2014;11(7):379-89doi: 10.1038/nrcardio.2014.62.
Otsuka, F., Joner, M., Prati, F., Virmani, R., & Narula, J. (2014). Clinical classification of plaque morphology in coronary disease. Nature reviews. Cardiology, 11(7), 379-89. https://doi.org/10.1038/nrcardio.2014.62
Otsuka, Fumiyuki, et al. "Clinical classification of plaque morphology in coronary disease." Nature reviews. Cardiology vol. 11,7 (2014): 379-89. doi: https://doi.org/10.1038/nrcardio.2014.62
Otsuka F, Joner M, Prati F, Virmani R, Narula J. Clinical classification of plaque morphology in coronary disease. Nat Rev Cardiol. 2014 Jul;11(7):379-89. doi: 10.1038/nrcardio.2014.62. Epub 2014 Apr 29. PMID: 24776706.
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Protecting a billion hearts.

Global heart

Baliga RR, Smith SC, Narula J.
PMID: 25592787
Glob Heart. 2014 Dec;9(4):361-2. doi: 10.1016/j.gheart.2014.12.004.

No abstract available.

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Baliga RR, Smith SC, Narula J. Protecting a billion hearts. Glob Heart. 2014;9(4):361-2doi: 10.1016/j.gheart.2014.12.004.
Baliga, R. R., Smith, S. C., & Narula, J. (2014). Protecting a billion hearts. Global heart, 9(4), 361-2. https://doi.org/10.1016/j.gheart.2014.12.004
Baliga, Ragavendra R, et al. "Protecting a billion hearts." Global heart vol. 9,4 (2014): 361-2. doi: https://doi.org/10.1016/j.gheart.2014.12.004
Baliga RR, Smith SC, Narula J. Protecting a billion hearts. Glob Heart. 2014 Dec;9(4):361-2. doi: 10.1016/j.gheart.2014.12.004. PMID: 25592787.
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Role of CT Colonography in Colonic Lesions and Its Correlation with Conventional Colonoscopic Findings.

Journal of clinical and diagnostic research : JCDR

Singh K, Narula AK, Thukral CL, Singh NR, Singh A, Kaur H.
PMID: 26023619
J Clin Diagn Res. 2015 Apr;9(4):TC14-8. doi: 10.7860/JCDR/2015/12686.5853. Epub 2015 Apr 01.

BACKGROUND: Preoperative evaluation in patients with colorectal carcinoma is essential for a correct therapeutic plan. Conventional colonoscopy has certain limitations including its inability to detect synchronous lesions in case of distal obstructive mass and inaccurate tumour localization. CT colonography...

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Singh K, Narula AK, Thukral CL, et al. Role of CT Colonography in Colonic Lesions and Its Correlation with Conventional Colonoscopic Findings. J Clin Diagn Res. 2015;9(4):TC14-8doi: 10.7860/JCDR/2015/12686.5853.
Singh, K., Narula, A. K., Thukral, C. L., Singh, N. R., Singh, A., & Kaur, H. (2015). Role of CT Colonography in Colonic Lesions and Its Correlation with Conventional Colonoscopic Findings. Journal of clinical and diagnostic research : JCDR, 9(4), TC14-8. https://doi.org/10.7860/JCDR/2015/12686.5853
Singh, Kunwarpal, et al. "Role of CT Colonography in Colonic Lesions and Its Correlation with Conventional Colonoscopic Findings." Journal of clinical and diagnostic research : JCDR vol. 9,4 (2015): TC14-8. doi: https://doi.org/10.7860/JCDR/2015/12686.5853
Singh K, Narula AK, Thukral CL, Singh NR, Singh A, Kaur H. Role of CT Colonography in Colonic Lesions and Its Correlation with Conventional Colonoscopic Findings. J Clin Diagn Res. 2015 Apr;9(4):TC14-8. doi: 10.7860/JCDR/2015/12686.5853. Epub 2015 Apr 01. PMID: 26023619; PMCID: PMC4437135.
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Coherence analysis discriminates between retroviral integration patterns in CD34(+) cells transduced under differing clinical trial conditions.

Molecular therapy. Methods & clinical development

Hallwirth CV, Garg G, Peters TJ, Kramer BA, Malani NV, Hyman J, Ruan X, Ginn SL, Hetherington NA, Veeravalli L, Shahab A, Ranganathan S, Wei CL, Liddle C, Thrasher AJ, Bushman FD, Buckley MJ, Alexander IE.
PMID: 26029726
Mol Ther Methods Clin Dev. 2015 Apr 29;2:15015. doi: 10.1038/mtm.2015.15. eCollection 2015.

Unequivocal demonstration of the therapeutic utility of γ-retroviral vectors for gene therapy applications targeting the hematopoietic system was accompanied by instances of insertional mutagenesis. These events stimulated the ongoing development of putatively safer integrating vector systems and analysis methods...

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Hallwirth CV, Garg G, Peters TJ, et al. Coherence analysis discriminates between retroviral integration patterns in CD34(+) cells transduced under differing clinical trial conditions. Mol Ther Methods Clin Dev. 2015;2:15015doi: 10.1038/mtm.2015.15.
Hallwirth, C. V., Garg, G., Peters, T. J., Kramer, B. A., Malani, N. V., Hyman, J., Ruan, X., Ginn, S. L., Hetherington, N. A., Veeravalli, L., Shahab, A., Ranganathan, S., Wei, C. L., Liddle, C., Thrasher, A. J., Bushman, F. D., Buckley, M. J., & Alexander, I. E. (2015). Coherence analysis discriminates between retroviral integration patterns in CD34(+) cells transduced under differing clinical trial conditions. Molecular therapy. Methods & clinical development, 215015. https://doi.org/10.1038/mtm.2015.15
Hallwirth, Claus V, et al. "Coherence analysis discriminates between retroviral integration patterns in CD34(+) cells transduced under differing clinical trial conditions." Molecular therapy. Methods & clinical development vol. 2 (2015): 15015. doi: https://doi.org/10.1038/mtm.2015.15
Hallwirth CV, Garg G, Peters TJ, Kramer BA, Malani NV, Hyman J, Ruan X, Ginn SL, Hetherington NA, Veeravalli L, Shahab A, Ranganathan S, Wei CL, Liddle C, Thrasher AJ, Bushman FD, Buckley MJ, Alexander IE. Coherence analysis discriminates between retroviral integration patterns in CD34(+) cells transduced under differing clinical trial conditions. Mol Ther Methods Clin Dev. 2015 Apr 29;2:15015. doi: 10.1038/mtm.2015.15. eCollection 2015. PMID: 26029726; PMCID: PMC4445430.
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Showing 1 to 12 of 752 entries