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Metaproteomic analysis of human gut microbiota: where are we heading?.

Journal of biomedical science

Lee PY, Chin SF, Neoh HM, Jamal R.
PMID: 28606141
J Biomed Sci. 2017 Jun 12;24(1):36. doi: 10.1186/s12929-017-0342-z.

The human gut is home to complex microbial populations that change dynamically in response to various internal and external stimuli. The gut microbiota provides numerous functional benefits that are crucial for human health but in the setting of a...

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Lee PY, Chin SF, Neoh HM, et al. Metaproteomic analysis of human gut microbiota: where are we heading?. J Biomed Sci. 2017;24(1):36doi: 10.1186/s12929-017-0342-z.
Lee, P. Y., Chin, S. F., Neoh, H. M., & Jamal, R. (2017). Metaproteomic analysis of human gut microbiota: where are we heading?. Journal of biomedical science, 24(1), 36. https://doi.org/10.1186/s12929-017-0342-z
Lee, Pey Yee, et al. "Metaproteomic analysis of human gut microbiota: where are we heading?." Journal of biomedical science vol. 24,1 (2017): 36. doi: https://doi.org/10.1186/s12929-017-0342-z
Lee PY, Chin SF, Neoh HM, Jamal R. Metaproteomic analysis of human gut microbiota: where are we heading?. J Biomed Sci. 2017 Jun 12;24(1):36. doi: 10.1186/s12929-017-0342-z. PMID: 28606141; PMCID: PMC5469034.
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Paediatrics and proteomics: back to the beginning.

Proteomics. Clinical applications

Everett A, Ignjatovic V.
PMID: 25461013
Proteomics Clin Appl. 2014 Dec;8(11):805-6. doi: 10.1002/prca.201470064.

No abstract available.

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Everett A, Ignjatovic V. Paediatrics and proteomics: back to the beginning. Proteomics Clin Appl. 2014;8(11):805-6doi: 10.1002/prca.201470064.
Everett, A., & Ignjatovic, V. (2014). Paediatrics and proteomics: back to the beginning. Proteomics. Clinical applications, 8(11), 805-6. https://doi.org/10.1002/prca.201470064
Everett, Allen, and Ignjatovic, Vera. "Paediatrics and proteomics: back to the beginning." Proteomics. Clinical applications vol. 8,11 (2014): 805-6. doi: https://doi.org/10.1002/prca.201470064
Everett A, Ignjatovic V. Paediatrics and proteomics: back to the beginning. Proteomics Clin Appl. 2014 Dec;8(11):805-6. doi: 10.1002/prca.201470064. PMID: 25461013.
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Chemoproteomics as a basis for post-genomic drug discovery.

Drug discovery today

Beroza P, Villar HO, Wick MM, Martin GR.
PMID: 12546968
Drug Discov Today. 2002 Aug 01;7(15):807-14. doi: 10.1016/s1359-6446(02)02371-1.

The large number of small organic compounds now available for drug-lead screening has led to numerous methods for classifying molecular similarity and diversity, the aim being to restore a balance between the quantity and drug-like quality of compounds in...

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Beroza P, Villar HO, Wick MM, et al. Chemoproteomics as a basis for post-genomic drug discovery. Drug Discov Today. 2002;7(15):807-14doi: 10.1016/s1359-6446(02)02371-1.
Beroza, P., Villar, H. O., Wick, M. M., & Martin, G. R. (2002). Chemoproteomics as a basis for post-genomic drug discovery. Drug discovery today, 7(15), 807-14. https://doi.org/10.1016/s1359-6446(02)02371-1
Beroza, Paul, et al. "Chemoproteomics as a basis for post-genomic drug discovery." Drug discovery today vol. 7,15 (2002): 807-14. doi: https://doi.org/10.1016/s1359-6446(02)02371-1
Beroza P, Villar HO, Wick MM, Martin GR. Chemoproteomics as a basis for post-genomic drug discovery. Drug Discov Today. 2002 Aug 01;7(15):807-14. doi: 10.1016/s1359-6446(02)02371-1. PMID: 12546968.
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Proteomic tools for biomedicine.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences

Wasinger VC, Corthals GL.
PMID: 12015991
J Chromatogr B Analyt Technol Biomed Life Sci. 2002 May 05;771(1):33-48. doi: 10.1016/s1570-0232(02)00125-3.

Proteomic tools measure gene expression, protein activity and interactions of biological events at the protein level. Proteins are the major catalysts of biological functions and contain several dimensions of information that collectively indicate the actual rather than the potential...

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Wasinger VC, Corthals GL. Proteomic tools for biomedicine. J Chromatogr B Analyt Technol Biomed Life Sci. 2002;771(1):33-48doi: 10.1016/s1570-0232(02)00125-3.
Wasinger, V. C., & Corthals, G. L. (2002). Proteomic tools for biomedicine. Journal of chromatography. B, Analytical technologies in the biomedical and life sciences, 771(1), 33-48. https://doi.org/10.1016/s1570-0232(02)00125-3
Wasinger, Valerie C, and Corthals, Garry L. "Proteomic tools for biomedicine." Journal of chromatography. B, Analytical technologies in the biomedical and life sciences vol. 771,1 (2002): 33-48. doi: https://doi.org/10.1016/s1570-0232(02)00125-3
Wasinger VC, Corthals GL. Proteomic tools for biomedicine. J Chromatogr B Analyt Technol Biomed Life Sci. 2002 May 05;771(1):33-48. doi: 10.1016/s1570-0232(02)00125-3. PMID: 12015991.
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HUPO (Human Proteome Organization) 1st World Congress. 21-24 November 2002, Versailles, France. Abstracts.

Molecular & cellular proteomics : MCP

[No authors listed]
PMID: 12474872
Mol Cell Proteomics. 2002 Sep;1(9):651-752.

No abstract available.

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HUPO (Human Proteome Organization) 1st World Congress. 21-24 November 2002, Versailles, France. Abstracts. Mol Cell Proteomics. 2002;1(9):651-752
(2002). HUPO (Human Proteome Organization) 1st World Congress. 21-24 November 2002, Versailles, France. Abstracts. Molecular & cellular proteomics : MCP, 1(9), 651-752.
"HUPO (Human Proteome Organization) 1st World Congress. 21-24 November 2002, Versailles, France. Abstracts." Molecular & cellular proteomics : MCP vol. 1,9 (2002): 651-752.
HUPO (Human Proteome Organization) 1st World Congress. 21-24 November 2002, Versailles, France. Abstracts. Mol Cell Proteomics. 2002 Sep;1(9):651-752. PMID: 12474872.
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[Micro-array based technologies to study the proteome: technological progress and applications].

Annales de biologie clinique

Mortuaire G, Marchetti P, Formstecher P, Danzé PM.
PMID: 15047465
Ann Biol Clin (Paris). 2004 Mar-Apr;62(2):139-48.

Since these twenty last years, there is an increasing interest for large-scale analysis of biological function. In the field of transcriptome, the emergence of microarray-based technologies and the design of DNA biochips allow high-throughput studies of RNA expression in...

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Mortuaire G, Marchetti P, Formstecher P, et al. Nouvelle approche globale en protéomique: les biopuces à protéines. Techniques actuelles et applications. [Micro-array based technologies to study the proteome: technological progress and applications]. Ann Biol Clin (Paris). 2004;62(2):139-48
Mortuaire, G., Marchetti, P., Formstecher, P., & Danzé, P. M. (2004). Nouvelle approche globale en protéomique: les biopuces à protéines. Techniques actuelles et applications. [Micro-array based technologies to study the proteome: technological progress and applications]. Annales de biologie clinique, 62(2), 139-48.
Mortuaire, G, et al. "Nouvelle approche globale en protéomique: les biopuces à protéines. Techniques actuelles et applications." [Micro-array based technologies to study the proteome: technological progress and applications]. Annales de biologie clinique vol. 62,2 (2004): 139-48.
Mortuaire G, Marchetti P, Formstecher P, Danzé PM. Nouvelle approche globale en protéomique: les biopuces à protéines. Techniques actuelles et applications. [Micro-array based technologies to study the proteome: technological progress and applications]. Ann Biol Clin (Paris). 2004 Mar-Apr;62(2):139-48. French. PMID: 15047465.
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Chemical proteomics from a nuclear magnetic resonance spectroscopy perspective.

Expert review of proteomics

Sem DS.
PMID: 15966811
Expert Rev Proteomics. 2004 Aug;1(2):165-78. doi: 10.1586/14789450.1.2.165.

Proteomics is the study of the protein complement of a genome and employs a number of newly emerging tools. One such tool is chemical proteomics, which is a branch of proteomics devoted to the exploration of protein function using...

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Sem DS. Chemical proteomics from a nuclear magnetic resonance spectroscopy perspective. Expert Rev Proteomics. 2004;1(2):165-78doi: 10.1586/14789450.1.2.165.
Sem, D. S. (2004). Chemical proteomics from a nuclear magnetic resonance spectroscopy perspective. Expert review of proteomics, 1(2), 165-78. https://doi.org/10.1586/14789450.1.2.165
Sem, Daniel S. "Chemical proteomics from a nuclear magnetic resonance spectroscopy perspective." Expert review of proteomics vol. 1,2 (2004): 165-78. doi: https://doi.org/10.1586/14789450.1.2.165
Sem DS. Chemical proteomics from a nuclear magnetic resonance spectroscopy perspective. Expert Rev Proteomics. 2004 Aug;1(2):165-78. doi: 10.1586/14789450.1.2.165. PMID: 15966811.
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When one chip is not enough: augmenting the validity of SELDI-TOF proteomic profiles of clinical specimens.

Lab on a chip

Kristina G, Radomir P, Eva B, Lenka D, Radek L, Rostislav V, Borivoj V, Dalibor V.
PMID: 19294317
Lab Chip. 2009 Apr 07;9(7):1014-7. doi: 10.1039/b815503h. Epub 2009 Jan 15.

To improve recovery, selectivity and reproducibility of SELDI-TOF analyses, we found it necessary to modify manufacturer's recommended protocols on sample and chip preparation. To yield reproducible denaturing conditions we verified concentrations of denaturing, reducing and lipid-solubilizing agents. We improved...

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Kristina G, Radomir P, Eva B, et al. When one chip is not enough: augmenting the validity of SELDI-TOF proteomic profiles of clinical specimens. Lab Chip. 2009;9(7):1014-7doi: 10.1039/b815503h.
Kristina, G., Radomir, P., Eva, B., Lenka, D., Radek, L., Rostislav, V., Borivoj, V., & Dalibor, V. (2009). When one chip is not enough: augmenting the validity of SELDI-TOF proteomic profiles of clinical specimens. Lab on a chip, 9(7), 1014-7. https://doi.org/10.1039/b815503h
Kristina, Greplova, et al. "When one chip is not enough: augmenting the validity of SELDI-TOF proteomic profiles of clinical specimens." Lab on a chip vol. 9,7 (2009): 1014-7. doi: https://doi.org/10.1039/b815503h
Kristina G, Radomir P, Eva B, Lenka D, Radek L, Rostislav V, Borivoj V, Dalibor V. When one chip is not enough: augmenting the validity of SELDI-TOF proteomic profiles of clinical specimens. Lab Chip. 2009 Apr 07;9(7):1014-7. doi: 10.1039/b815503h. Epub 2009 Jan 15. PMID: 19294317.
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BioNet: an R-Package for the functional analysis of biological networks.

Bioinformatics (Oxford, England)

Beisser D, Klau GW, Dandekar T, Müller T, Dittrich MT.
PMID: 20189939
Bioinformatics. 2010 Apr 15;26(8):1129-30. doi: 10.1093/bioinformatics/btq089. Epub 2010 Feb 25.

MOTIVATION: Increasing quantity and quality of data in transcriptomics and interactomics create the need for integrative approaches to network analysis. Here, we present a comprehensive R-package for the analysis of biological networks including an exact and a heuristic approach...

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Beisser D, Klau GW, Dandekar T, et al. BioNet: an R-Package for the functional analysis of biological networks. Bioinformatics. 2010;26(8):1129-30doi: 10.1093/bioinformatics/btq089.
Beisser, D., Klau, G. W., Dandekar, T., Müller, T., & Dittrich, M. T. (2010). BioNet: an R-Package for the functional analysis of biological networks. Bioinformatics (Oxford, England), 26(8), 1129-30. https://doi.org/10.1093/bioinformatics/btq089
Beisser, Daniela, et al. "BioNet: an R-Package for the functional analysis of biological networks." Bioinformatics (Oxford, England) vol. 26,8 (2010): 1129-30. doi: https://doi.org/10.1093/bioinformatics/btq089
Beisser D, Klau GW, Dandekar T, Müller T, Dittrich MT. BioNet: an R-Package for the functional analysis of biological networks. Bioinformatics. 2010 Apr 15;26(8):1129-30. doi: 10.1093/bioinformatics/btq089. Epub 2010 Feb 25. PMID: 20189939.
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Current drug metabolism.

Current drug metabolism

Huang CM.
PMID: 19149507
Curr Drug Metab. 2009 Jan;10(1):1. doi: 10.2174/138920009787048400.

No abstract available.

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Huang CM. Current drug metabolism. Curr Drug Metab. 2009;10(1):1doi: 10.2174/138920009787048400.
Huang, C. M. (2009). Current drug metabolism. Current drug metabolism, 10(1), 1. https://doi.org/10.2174/138920009787048400
Huang, Chun-Ming. "Current drug metabolism." Current drug metabolism vol. 10,1 (2009): 1. doi: https://doi.org/10.2174/138920009787048400
Huang CM. Current drug metabolism. Curr Drug Metab. 2009 Jan;10(1):1. doi: 10.2174/138920009787048400. PMID: 19149507.
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Enhancing metabolomic data analysis with Progressive Consensus Alignment of NMR Spectra (PCANS).

BMC bioinformatics

Staab JM, O'Connell TM, Gomez SM.
PMID: 20214818
BMC Bioinformatics. 2010 Mar 09;11:123. doi: 10.1186/1471-2105-11-123.

BACKGROUND: Nuclear magnetic resonance spectroscopy is one of the primary tools in metabolomics analyses, where it is used to track and quantify changes in metabolite concentrations or profiles in response to perturbation through disease, toxicants or drugs. The spectra...

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Staab JM, O'Connell TM, Gomez SM. Enhancing metabolomic data analysis with Progressive Consensus Alignment of NMR Spectra (PCANS). BMC Bioinformatics. 2010;11:123doi: 10.1186/1471-2105-11-123.
Staab, J. M., O'Connell, T. M., & Gomez, S. M. (2010). Enhancing metabolomic data analysis with Progressive Consensus Alignment of NMR Spectra (PCANS). BMC bioinformatics, 11123. https://doi.org/10.1186/1471-2105-11-123
Staab, Jennifer M, et al. "Enhancing metabolomic data analysis with Progressive Consensus Alignment of NMR Spectra (PCANS)." BMC bioinformatics vol. 11 (2010): 123. doi: https://doi.org/10.1186/1471-2105-11-123
Staab JM, O'Connell TM, Gomez SM. Enhancing metabolomic data analysis with Progressive Consensus Alignment of NMR Spectra (PCANS). BMC Bioinformatics. 2010 Mar 09;11:123. doi: 10.1186/1471-2105-11-123. PMID: 20214818; PMCID: PMC2851603.
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Current progress in computational metabolomics.

Briefings in bioinformatics

Wishart DS.
PMID: 17626065
Brief Bioinform. 2007 Sep;8(5):279-93. doi: 10.1093/bib/bbm030. Epub 2007 Jul 11.

Being a relatively new addition to the 'omics' field, metabolomics is still evolving its own computational infrastructure and assessing its own computational needs. Due to its strong emphasis on chemical information and because of the importance of linking that...

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Wishart DS. Current progress in computational metabolomics. Brief Bioinform. 2007;8(5):279-93doi: 10.1093/bib/bbm030.
Wishart, D. S. (2007). Current progress in computational metabolomics. Briefings in bioinformatics, 8(5), 279-93. https://doi.org/10.1093/bib/bbm030
Wishart, David S. "Current progress in computational metabolomics." Briefings in bioinformatics vol. 8,5 (2007): 279-93. doi: https://doi.org/10.1093/bib/bbm030
Wishart DS. Current progress in computational metabolomics. Brief Bioinform. 2007 Sep;8(5):279-93. doi: 10.1093/bib/bbm030. Epub 2007 Jul 11. PMID: 17626065.
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Showing 1 to 12 of 211 entries