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Analysis of the circRNA and T-UCR populations identifies convergent pathways in mouse and human models of Rett syndrome.

Molecular therapy. Nucleic acids

Siqueira E, Obiols-Guardia A, Jorge-Torres OC, Oliveira-Mateos C, Soler M, Ramesh-Kumar D, Setién F, van Rossum D, Pascual-Alonso A, Xiol C, Ivan C, Shimizu M, Armstrong J, Calin GA, Pasterkamp RJ, Esteller M, Guil S.
PMID: 35036070
Mol Ther Nucleic Acids. 2021 Dec 22;27:621-644. doi: 10.1016/j.omtn.2021.12.030. eCollection 2022 Mar 08.

Noncoding RNAs play regulatory roles in physiopathology, but their involvement in neurodevelopmental diseases is poorly understood. Rett syndrome is a severe, progressive neurodevelopmental disorder linked to loss-of-function mutations of the

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Siqueira E, Obiols-Guardia A, Jorge-Torres OC, et al. Analysis of the circRNA and T-UCR populations identifies convergent pathways in mouse and human models of Rett syndrome. Mol Ther Nucleic Acids. 2021;27:621-644doi: 10.1016/j.omtn.2021.12.030.
Siqueira, E., Obiols-Guardia, A., Jorge-Torres, O. C., Oliveira-Mateos, C., Soler, M., Ramesh-Kumar, D., Setién, F., van Rossum, D., Pascual-Alonso, A., Xiol, C., Ivan, C., Shimizu, M., Armstrong, J., Calin, G. A., Pasterkamp, R. J., Esteller, M., & Guil, S. (2022). Analysis of the circRNA and T-UCR populations identifies convergent pathways in mouse and human models of Rett syndrome. Molecular therapy. Nucleic acids, 27621-644. https://doi.org/10.1016/j.omtn.2021.12.030
Siqueira, Edilene, et al. "Analysis of the circRNA and T-UCR populations identifies convergent pathways in mouse and human models of Rett syndrome." Molecular therapy. Nucleic acids vol. 27 (2022): 621-644. doi: https://doi.org/10.1016/j.omtn.2021.12.030
Siqueira E, Obiols-Guardia A, Jorge-Torres OC, Oliveira-Mateos C, Soler M, Ramesh-Kumar D, Setién F, van Rossum D, Pascual-Alonso A, Xiol C, Ivan C, Shimizu M, Armstrong J, Calin GA, Pasterkamp RJ, Esteller M, Guil S. Analysis of the circRNA and T-UCR populations identifies convergent pathways in mouse and human models of Rett syndrome. Mol Ther Nucleic Acids. 2021 Dec 22;27:621-644. doi: 10.1016/j.omtn.2021.12.030. eCollection 2022 Mar 08. PMID: 35036070; PMCID: PMC8749388.
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Machine Assist for Pediatric Posterior Fossa Tumor Diagnosis: A Multinational Study.

Neurosurgery

Zhang M, Wong SW, Wright JN, Toescu S, Mohammadzadeh M, Han M, Lummus S, Wagner MW, Yecies D, Lai H, Eghbal A, Radmanesh A, Nemelka J, Harward S, Malinzak M, Laughlin S, Perreault S, Braun KRM, Vossough A, Poussaint T, Goetti R, Ertl-Wagner B, Ho CY, Oztekin O, Ramaswamy V, Mankad K, Vitanza NA, Cheshier SH, Said M, Aquilina K, Thompson E, Jaju A, Grant GA, Lober RM, Yeom KW.
PMID: 34392363
Neurosurgery. 2021 Oct 13;89(5):892-900. doi: 10.1093/neuros/nyab311.

BACKGROUND: Clinicians and machine classifiers reliably diagnose pilocytic astrocytoma (PA) on magnetic resonance imaging (MRI) but less accurately distinguish medulloblastoma (MB) from ependymoma (EP). One strategy is to first rule out the most identifiable diagnosis.OBJECTIVE: To hypothesize a sequential...

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Zhang M, Wong SW, Wright JN, et al. Machine Assist for Pediatric Posterior Fossa Tumor Diagnosis: A Multinational Study. Neurosurgery. 2021;89(5):892-900doi: 10.1093/neuros/nyab311.
Zhang, M., Wong, S. W., Wright, J. N., Toescu, S., Mohammadzadeh, M., Han, M., Lummus, S., Wagner, M. W., Yecies, D., Lai, H., Eghbal, A., Radmanesh, A., Nemelka, J., Harward, S., Malinzak, M., Laughlin, S., Perreault, S., Braun, K. R. M., Vossough, A., Poussaint, T., Goetti, R., Ertl-Wagner, B., Ho, C. Y., Oztekin, O., Ramaswamy, V., Mankad, K., Vitanza, N. A., Cheshier, S. H., Said, M., Aquilina, K., Thompson, E., Jaju, A., Grant, G. A., Lober, R. M., & Yeom, K. W. (2021). Machine Assist for Pediatric Posterior Fossa Tumor Diagnosis: A Multinational Study. Neurosurgery, 89(5), 892-900. https://doi.org/10.1093/neuros/nyab311
Zhang, Michael, et al. "Machine Assist for Pediatric Posterior Fossa Tumor Diagnosis: A Multinational Study." Neurosurgery vol. 89,5 (2021): 892-900. doi: https://doi.org/10.1093/neuros/nyab311
Zhang M, Wong SW, Wright JN, Toescu S, Mohammadzadeh M, Han M, Lummus S, Wagner MW, Yecies D, Lai H, Eghbal A, Radmanesh A, Nemelka J, Harward S, Malinzak M, Laughlin S, Perreault S, Braun KRM, Vossough A, Poussaint T, Goetti R, Ertl-Wagner B, Ho CY, Oztekin O, Ramaswamy V, Mankad K, Vitanza NA, Cheshier SH, Said M, Aquilina K, Thompson E, Jaju A, Grant GA, Lober RM, Yeom KW. Machine Assist for Pediatric Posterior Fossa Tumor Diagnosis: A Multinational Study. Neurosurgery. 2021 Oct 13;89(5):892-900. doi: 10.1093/neuros/nyab311. PMID: 34392363.
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Photothermal therapeutic potency of plasmonic silver nanoparticles for apoptosis and anti-angiogenesis in testosterone induced benign prostate hyperplasia in rats.

Life sciences

Marghani BH, Fehaid A, Ateya AI, Ezz MA, Saleh RM.
PMID: 34942164
Life Sci. 2021 Dec 21;291:120240. doi: 10.1016/j.lfs.2021.120240. Epub 2021 Dec 21.

AIMS: In this study, we used a near-infrared laser (NIR) to increase the potency of silver nanoparticles (AgNPs) to develop a novel, less invasive, and simple photothermal therapy technique for benign prostate hyperplasia (BPH).MATERIALS AND METHODS: The shape, particle...

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Marghani BH, Fehaid A, Ateya AI, et al. Photothermal therapeutic potency of plasmonic silver nanoparticles for apoptosis and anti-angiogenesis in testosterone induced benign prostate hyperplasia in rats. Life Sci. 2021;291:120240doi: 10.1016/j.lfs.2021.120240.
Marghani, B. H., Fehaid, A., Ateya, A. I., Ezz, M. A., & Saleh, R. M. (2021). Photothermal therapeutic potency of plasmonic silver nanoparticles for apoptosis and anti-angiogenesis in testosterone induced benign prostate hyperplasia in rats. Life sciences, 291120240. https://doi.org/10.1016/j.lfs.2021.120240
Marghani, Basma H, et al. "Photothermal therapeutic potency of plasmonic silver nanoparticles for apoptosis and anti-angiogenesis in testosterone induced benign prostate hyperplasia in rats." Life sciences vol. 291 (2021): 120240. doi: https://doi.org/10.1016/j.lfs.2021.120240
Marghani BH, Fehaid A, Ateya AI, Ezz MA, Saleh RM. Photothermal therapeutic potency of plasmonic silver nanoparticles for apoptosis and anti-angiogenesis in testosterone induced benign prostate hyperplasia in rats. Life Sci. 2021 Dec 21;291:120240. doi: 10.1016/j.lfs.2021.120240. Epub 2021 Dec 21. PMID: 34942164.
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Psychometric properties of the brief version of the questionnaire of olfactory disorders in patients with chronic rhinosinusitis.

International forum of allergy & rhinology

Mattos JL, Bodner TE, Mace JC, Schlosser RJ, Beswick DM, Ramakrishnan VR, Alt JA, Payne SC, Smith TL, Soler ZM.
PMID: 33864723
Int Forum Allergy Rhinol. 2021 Oct;11(10):1436-1442. doi: 10.1002/alr.22800. Epub 2021 Apr 17.

BACKGROUND: The Questionnaire of Olfactory Disorders-Negative Statements (QOD-NS) is a 17-item instrument measuring olfactory-specific quality of life (QOL). However, in clinical research patients can be overwhelmed with multiple questionnaires. We recently developed the 7-item brief QOD-NS (B-QOD). Our objective...

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Mattos JL, Bodner TE, Mace JC, et al. Psychometric properties of the brief version of the questionnaire of olfactory disorders in patients with chronic rhinosinusitis. Int Forum Allergy Rhinol. 2021;11(10):1436-1442doi: 10.1002/alr.22800.
Mattos, J. L., Bodner, T. E., Mace, J. C., Schlosser, R. J., Beswick, D. M., Ramakrishnan, V. R., Alt, J. A., Payne, S. C., Smith, T. L., & Soler, Z. M. (2021). Psychometric properties of the brief version of the questionnaire of olfactory disorders in patients with chronic rhinosinusitis. International forum of allergy & rhinology, 11(10), 1436-1442. https://doi.org/10.1002/alr.22800
Mattos, Jose L, et al. "Psychometric properties of the brief version of the questionnaire of olfactory disorders in patients with chronic rhinosinusitis." International forum of allergy & rhinology vol. 11,10 (2021): 1436-1442. doi: https://doi.org/10.1002/alr.22800
Mattos JL, Bodner TE, Mace JC, Schlosser RJ, Beswick DM, Ramakrishnan VR, Alt JA, Payne SC, Smith TL, Soler ZM. Psychometric properties of the brief version of the questionnaire of olfactory disorders in patients with chronic rhinosinusitis. Int Forum Allergy Rhinol. 2021 Oct;11(10):1436-1442. doi: 10.1002/alr.22800. Epub 2021 Apr 17. PMID: 33864723.
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Predicting olfactory loss in chronic rhinosinusitis using machine learning.

Chemical senses

Ramakrishnan VR, Arbet J, Mace JC, Suresh K, Shintani Smith S, Soler ZM, Smith TL.
PMID: 34473227
Chem Senses. 2021 Jan 01;46. doi: 10.1093/chemse/bjab042.

OBJECTIVE: Compare machine learning (ML)-based predictive analytics methods to traditional logistic regression in classification of olfactory dysfunction in chronic rhinosinusitis (CRS-OD) and identify predictors within a large multi-institutional cohort of refractory CRS patients.METHODS: Adult CRS patients enrolled in a...

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Ramakrishnan VR, Arbet J, Mace JC, et al. Predicting olfactory loss in chronic rhinosinusitis using machine learning. Chem Senses. 2021;46doi: 10.1093/chemse/bjab042.
Ramakrishnan, V. R., Arbet, J., Mace, J. C., Suresh, K., Shintani Smith, S., Soler, Z. M., & Smith, T. L. (2021). Predicting olfactory loss in chronic rhinosinusitis using machine learning. Chemical senses, 46. https://doi.org/10.1093/chemse/bjab042
Ramakrishnan, Vijay R, et al. "Predicting olfactory loss in chronic rhinosinusitis using machine learning." Chemical senses vol. 46 (2021). doi: https://doi.org/10.1093/chemse/bjab042
Ramakrishnan VR, Arbet J, Mace JC, Suresh K, Shintani Smith S, Soler ZM, Smith TL. Predicting olfactory loss in chronic rhinosinusitis using machine learning. Chem Senses. 2021 Jan 01;46. doi: 10.1093/chemse/bjab042. PMID: 34473227; PMCID: PMC8558487.
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Artificial intelligence for automatic cerebral ventricle segmentation and volume calculation: a clinical tool for the evaluation of pediatric hydrocephalus.

Journal of neurosurgery. Pediatrics

Quon JL, Han M, Kim LH, Koran ME, Chen LC, Lee EH, Wright J, Ramaswamy V, Lober RM, Taylor MD, Grant GA, Cheshier SH, Kestle JRW, Edwards MSB, Yeom KW.
PMID: 33260138
J Neurosurg Pediatr. 2020 Dec 01;1-8. doi: 10.3171/2020.6.PEDS20251. Epub 2020 Dec 01.

OBJECTIVE: Imaging evaluation of the cerebral ventricles is important for clinical decision-making in pediatric hydrocephalus. Although quantitative measurements of ventricular size, over time, can facilitate objective comparison, automated tools for calculating ventricular volume are not structured for clinical use....

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Quon JL, Han M, Kim LH, et al. Artificial intelligence for automatic cerebral ventricle segmentation and volume calculation: a clinical tool for the evaluation of pediatric hydrocephalus. J Neurosurg Pediatr. 2020;1-8doi: 10.3171/2020.6.PEDS20251.
Quon, J. L., Han, M., Kim, L. H., Koran, M. E., Chen, L. C., Lee, E. H., Wright, J., Ramaswamy, V., Lober, R. M., Taylor, M. D., Grant, G. A., Cheshier, S. H., Kestle, J. R. W., Edwards, M. S. B., & Yeom, K. W. (2020). Artificial intelligence for automatic cerebral ventricle segmentation and volume calculation: a clinical tool for the evaluation of pediatric hydrocephalus. Journal of neurosurgery. Pediatrics, 1-8. https://doi.org/10.3171/2020.6.PEDS20251
Quon, Jennifer L, et al. "Artificial intelligence for automatic cerebral ventricle segmentation and volume calculation: a clinical tool for the evaluation of pediatric hydrocephalus." Journal of neurosurgery. Pediatrics vol. (2020): 1-8. doi: https://doi.org/10.3171/2020.6.PEDS20251
Quon JL, Han M, Kim LH, Koran ME, Chen LC, Lee EH, Wright J, Ramaswamy V, Lober RM, Taylor MD, Grant GA, Cheshier SH, Kestle JRW, Edwards MSB, Yeom KW. Artificial intelligence for automatic cerebral ventricle segmentation and volume calculation: a clinical tool for the evaluation of pediatric hydrocephalus. J Neurosurg Pediatr. 2020 Dec 01;1-8. doi: 10.3171/2020.6.PEDS20251. Epub 2020 Dec 01. PMID: 33260138.
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Navigating through chemical space and evolutionary time across the Australian continent in plant genus Eremophila.

The Plant journal : for cell and molecular biology

Gericke O, Fowler RM, Heskes AM, Bayly MJ, Semple SJ, Ndi CP, Staerk D, Løland CJ, Murphy DJ, Buirchell BJ, Møller BL.
PMID: 34324744
Plant J. 2021 Oct;108(2):555-578. doi: 10.1111/tpj.15448. Epub 2021 Sep 16.

Eremophila is the largest genus in the plant tribe Myoporeae (Scrophulariaceae) and exhibits incredible morphological diversity across the Australian continent. The Australian Aboriginal Peoples recognize many Eremophila species as important sources of traditional medicine, the most frequently used plant...

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Gericke O, Fowler RM, Heskes AM, et al. Navigating through chemical space and evolutionary time across the Australian continent in plant genus Eremophila. Plant J. 2021;108(2):555-578doi: 10.1111/tpj.15448.
Gericke, O., Fowler, R. M., Heskes, A. M., Bayly, M. J., Semple, S. J., Ndi, C. P., Staerk, D., Løland, C. J., Murphy, D. J., Buirchell, B. J., & Møller, B. L. (2021). Navigating through chemical space and evolutionary time across the Australian continent in plant genus Eremophila. The Plant journal : for cell and molecular biology, 108(2), 555-578. https://doi.org/10.1111/tpj.15448
Gericke, Oliver, et al. "Navigating through chemical space and evolutionary time across the Australian continent in plant genus Eremophila." The Plant journal : for cell and molecular biology vol. 108,2 (2021): 555-578. doi: https://doi.org/10.1111/tpj.15448
Gericke O, Fowler RM, Heskes AM, Bayly MJ, Semple SJ, Ndi CP, Staerk D, Løland CJ, Murphy DJ, Buirchell BJ, Møller BL. Navigating through chemical space and evolutionary time across the Australian continent in plant genus Eremophila. Plant J. 2021 Oct;108(2):555-578. doi: 10.1111/tpj.15448. Epub 2021 Sep 16. PMID: 34324744.
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Showing 265 to 271 of 271 entries