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The contribution of protein intrinsic disorder to understand the role of genetic variants uncovered by autism spectrum disorders exome studies.

American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics

Schuch JB, Paixão-Côrtes VR, Friedrich DC, Tovo-Rodrigues L.
PMID: 26892727
Am J Med Genet B Neuropsychiatr Genet. 2016 Apr;171(3):479-91. doi: 10.1002/ajmg.b.32431. Epub 2016 Feb 19.

Several autism spectrum disorders (ASD) exome studies suggest that coding single nucleotide variants (SNVs) play an important role on ASD etiology. Usually, the pathogenic effect of missense mutations is estimated through predictors that lose accuracy for those SNVs placed...

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Schuch JB, Paixão-Côrtes VR, Friedrich DC, et al. The contribution of protein intrinsic disorder to understand the role of genetic variants uncovered by autism spectrum disorders exome studies. Am J Med Genet B Neuropsychiatr Genet. 2016;171(3):479-91doi: 10.1002/ajmg.b.32431.
Schuch, J. B., Paixão-Côrtes, V. R., Friedrich, D. C., & Tovo-Rodrigues, L. (2016). The contribution of protein intrinsic disorder to understand the role of genetic variants uncovered by autism spectrum disorders exome studies. American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics, 171(3), 479-91. https://doi.org/10.1002/ajmg.b.32431
Schuch, Jaqueline Bohrer, et al. "The contribution of protein intrinsic disorder to understand the role of genetic variants uncovered by autism spectrum disorders exome studies." American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics vol. 171,3 (2016): 479-91. doi: https://doi.org/10.1002/ajmg.b.32431
Schuch JB, Paixão-Côrtes VR, Friedrich DC, Tovo-Rodrigues L. The contribution of protein intrinsic disorder to understand the role of genetic variants uncovered by autism spectrum disorders exome studies. Am J Med Genet B Neuropsychiatr Genet. 2016 Apr;171(3):479-91. doi: 10.1002/ajmg.b.32431. Epub 2016 Feb 19. PMID: 26892727.
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Identification of potential gene targets in systemic vasculitis using DNA microarray analysis.

Molecular medicine reports

Feng Y, Zheng M, Gan S, Zhang L, Wan Z, Zhang Y, Qian Q, Tang J.
PMID: 28440408
Mol Med Rep. 2017 Jun;15(6):3665-3673. doi: 10.3892/mmr.2017.6455. Epub 2017 Apr 11.

The present study aimed to identify the involvement of critical genes in systemic vasculitis, to gain an improved understanding of the molecular circuity and to investigate novel potential gene targets for systemic vasculitis treatment. The dual‑color cDNA microarray data...

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Feng Y, Zheng M, Gan S, et al. Identification of potential gene targets in systemic vasculitis using DNA microarray analysis. Mol Med Rep. 2017;15(6):3665-3673doi: 10.3892/mmr.2017.6455.
Feng, Y., Zheng, M., Gan, S., Zhang, L., Wan, Z., Zhang, Y., Qian, Q., & Tang, J. (2017). Identification of potential gene targets in systemic vasculitis using DNA microarray analysis. Molecular medicine reports, 15(6), 3665-3673. https://doi.org/10.3892/mmr.2017.6455
Feng, Yiwen, et al. "Identification of potential gene targets in systemic vasculitis using DNA microarray analysis." Molecular medicine reports vol. 15,6 (2017): 3665-3673. doi: https://doi.org/10.3892/mmr.2017.6455
Feng Y, Zheng M, Gan S, Zhang L, Wan Z, Zhang Y, Qian Q, Tang J. Identification of potential gene targets in systemic vasculitis using DNA microarray analysis. Mol Med Rep. 2017 Jun;15(6):3665-3673. doi: 10.3892/mmr.2017.6455. Epub 2017 Apr 11. PMID: 28440408; PMCID: PMC5436278.
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Automated generation of gene summaries at the Alliance of Genome Resources.

Database : the journal of biological databases and curation

Kishore R, Arnaboldi V, Van Slyke CE, Chan J, Nash RS, Urbano JM, Dolan ME, Engel SR, Shimoyama M, Sternberg PW, Genome Resources TAO.
PMID: 32559296
Database (Oxford). 2020 Jan 01;2020. doi: 10.1093/database/baaa037.

Short paragraphs that describe gene function, referred to as gene summaries, are valued by users of biological knowledgebases for the ease with which they convey key aspects of gene function. Manual curation of gene summaries, while desirable, is difficult...

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Kishore R, Arnaboldi V, Van Slyke CE, et al. Automated generation of gene summaries at the Alliance of Genome Resources. Database (Oxford). 2020;2020doi: 10.1093/database/baaa037.
Kishore, R., Arnaboldi, V., Van Slyke, C. E., Chan, J., Nash, R. S., Urbano, J. M., Dolan, M. E., Engel, S. R., Shimoyama, M., Sternberg, P. W., & Genome Resources, T. A. O. (2020). Automated generation of gene summaries at the Alliance of Genome Resources. Database : the journal of biological databases and curation, 2020. https://doi.org/10.1093/database/baaa037
Kishore, Ranjana, et al. "Automated generation of gene summaries at the Alliance of Genome Resources." Database : the journal of biological databases and curation vol. 2020 (2020). doi: https://doi.org/10.1093/database/baaa037
Kishore R, Arnaboldi V, Van Slyke CE, Chan J, Nash RS, Urbano JM, Dolan ME, Engel SR, Shimoyama M, Sternberg PW, Genome Resources TAO. Automated generation of gene summaries at the Alliance of Genome Resources. Database (Oxford). 2020 Jan 01;2020. doi: 10.1093/database/baaa037. PMID: 32559296; PMCID: PMC7304461.
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Physiological responses and transcriptome analysis of Spirodela polyrhiza under red, blue, and white light.

Planta

Zhong Y, Wang L, Ma Z, Du X.
PMID: 34855030
Planta. 2021 Dec 02;255(1):11. doi: 10.1007/s00425-021-03764-4.

MAIN CONCLUSION: Red light (RL) accelerated starch accumulation in S. polyrhiza, but higher protein content under blue light (BL) was associated with the upregulation of most DEGs enriched for specific GO terms and KEGG pathways. Red light (RL) and...

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Zhong Y, Wang L, Ma Z, et al. Physiological responses and transcriptome analysis of Spirodela polyrhiza under red, blue, and white light. Planta. 2021;255(1):11doi: 10.1007/s00425-021-03764-4.
Zhong, Y., Wang, L., Ma, Z., & Du, X. (2021). Physiological responses and transcriptome analysis of Spirodela polyrhiza under red, blue, and white light. Planta, 255(1), 11. https://doi.org/10.1007/s00425-021-03764-4
Zhong, Yu, et al. "Physiological responses and transcriptome analysis of Spirodela polyrhiza under red, blue, and white light." Planta vol. 255,1 (2021): 11. doi: https://doi.org/10.1007/s00425-021-03764-4
Zhong Y, Wang L, Ma Z, Du X. Physiological responses and transcriptome analysis of Spirodela polyrhiza under red, blue, and white light. Planta. 2021 Dec 02;255(1):11. doi: 10.1007/s00425-021-03764-4. PMID: 34855030.
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'Single-subject studies'-derived analyses unveil altered biomechanisms between very small cohorts: implications for rare diseases.

Bioinformatics (Oxford, England)

Aberasturi D, Pouladi N, Zaim SR, Kenost C, Berghout J, Piegorsch WW, Lussier YA.
PMID: 34252934
Bioinformatics. 2021 Jul 12;37:i67-i75. doi: 10.1093/bioinformatics/btab290.

MOTIVATION: Identifying altered transcripts between very small human cohorts is particularly challenging and is compounded by the low accrual rate of human subjects in rare diseases or sub-stratified common disorders. Yet, single-subject studies (S3) can compare paired transcriptome samples...

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Aberasturi D, Pouladi N, Zaim SR, et al. 'Single-subject studies'-derived analyses unveil altered biomechanisms between very small cohorts: implications for rare diseases. Bioinformatics. 2021;37:i67-i75doi: 10.1093/bioinformatics/btab290.
Aberasturi, D., Pouladi, N., Zaim, S. R., Kenost, C., Berghout, J., Piegorsch, W. W., & Lussier, Y. A. (2021). 'Single-subject studies'-derived analyses unveil altered biomechanisms between very small cohorts: implications for rare diseases. Bioinformatics (Oxford, England), 37i67-i75. https://doi.org/10.1093/bioinformatics/btab290
Aberasturi, Dillon, et al. "'Single-subject studies'-derived analyses unveil altered biomechanisms between very small cohorts: implications for rare diseases." Bioinformatics (Oxford, England) vol. 37 (2021): i67-i75. doi: https://doi.org/10.1093/bioinformatics/btab290
Aberasturi D, Pouladi N, Zaim SR, Kenost C, Berghout J, Piegorsch WW, Lussier YA. 'Single-subject studies'-derived analyses unveil altered biomechanisms between very small cohorts: implications for rare diseases. Bioinformatics. 2021 Jul 12;37:i67-i75. doi: 10.1093/bioinformatics/btab290. PMID: 34252934; PMCID: PMC8336591.
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Showing 73 to 77 of 77 entries