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Human plasma IgG1 repertoires are simple, unique, and dynamic.

Cell systems

Bondt A, Hoek M, Tamara S, de Graaf B, Peng W, Schulte D, van Rijswijck DMH, den Boer MA, Greisch JF, Varkila MRJ, Snijder J, Cremer OL, Bonten MJM, Heck AJR.
PMID: 34613904
Cell Syst. 2021 Dec 15;12(12):1131-1143.e5. doi: 10.1016/j.cels.2021.08.008. Epub 2021 Sep 17.

Although humans can produce billions of IgG1 variants through recombination and hypermutation, the diversity of IgG1 clones circulating in human blood plasma has largely eluded direct characterization. Here, we combined several mass-spectrometry-based approaches to reveal that the circulating IgG1...

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Bondt A, Hoek M, Tamara S, et al. Human plasma IgG1 repertoires are simple, unique, and dynamic. Cell Syst. 2021;12(12):1131-1143.e5doi: 10.1016/j.cels.2021.08.008.
Bondt, A., Hoek, M., Tamara, S., de Graaf, B., Peng, W., Schulte, D., van Rijswijck, D. M. H., den Boer, M. A., Greisch, J. F., Varkila, M. R. J., Snijder, J., Cremer, O. L., Bonten, M. J. M., & Heck, A. J. R. (2021). Human plasma IgG1 repertoires are simple, unique, and dynamic. Cell systems, 12(12), 1131-1143.e5. https://doi.org/10.1016/j.cels.2021.08.008
Bondt, Albert, et al. "Human plasma IgG1 repertoires are simple, unique, and dynamic." Cell systems vol. 12,12 (2021): 1131-1143.e5. doi: https://doi.org/10.1016/j.cels.2021.08.008
Bondt A, Hoek M, Tamara S, de Graaf B, Peng W, Schulte D, van Rijswijck DMH, den Boer MA, Greisch JF, Varkila MRJ, Snijder J, Cremer OL, Bonten MJM, Heck AJR. Human plasma IgG1 repertoires are simple, unique, and dynamic. Cell Syst. 2021 Dec 15;12(12):1131-1143.e5. doi: 10.1016/j.cels.2021.08.008. Epub 2021 Sep 17. PMID: 34613904; PMCID: PMC8691384.
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Strain Relaxation in "2D/2D and 2D/3D Systems": Highly Textured Mica/Bi.

ACS nano

Zhang H, Yimam DT, de Graaf S, Momand J, Vermeulen PA, Wei Y, Noheda B, Kooi BJ.
PMID: 33476130
ACS Nano. 2021 Feb 23;15(2):2869-2879. doi: 10.1021/acsnano.0c08842. Epub 2021 Jan 21.

Strain engineering as a method to control functional properties has seen in the last decades a surge of interest. Heterostructures comprising 2D-materials and containing van der Waals(-like) gaps were considered unsuitable for strain engineering. However, recent work on heterostructures...

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Zhang H, Yimam DT, de Graaf S, et al. Strain Relaxation in "2D/2D and 2D/3D Systems": Highly Textured Mica/Bi. ACS Nano. 2021;15(2):2869-2879doi: 10.1021/acsnano.0c08842.
Zhang, H., Yimam, D. T., de Graaf, S., Momand, J., Vermeulen, P. A., Wei, Y., Noheda, B., & Kooi, B. J. (2021). Strain Relaxation in "2D/2D and 2D/3D Systems": Highly Textured Mica/Bi. ACS nano, 15(2), 2869-2879. https://doi.org/10.1021/acsnano.0c08842
Zhang, Heng, et al. "Strain Relaxation in "2D/2D and 2D/3D Systems": Highly Textured Mica/Bi." ACS nano vol. 15,2 (2021): 2869-2879. doi: https://doi.org/10.1021/acsnano.0c08842
Zhang H, Yimam DT, de Graaf S, Momand J, Vermeulen PA, Wei Y, Noheda B, Kooi BJ. Strain Relaxation in "2D/2D and 2D/3D Systems": Highly Textured Mica/Bi. ACS Nano. 2021 Feb 23;15(2):2869-2879. doi: 10.1021/acsnano.0c08842. Epub 2021 Jan 21. PMID: 33476130; PMCID: PMC7905873.
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An extensible lattice Boltzmann method for viscoelastic flows: complex and moving boundaries in Oldroyd-B fluids.

The European physical journal. E, Soft matter

Kuron M, Stewart C, de Graaf J, Holm C.
PMID: 33555445
Eur Phys J E Soft Matter. 2021 Feb 08;44(1):1. doi: 10.1140/epje/s10189-020-00005-6.

 Most biological fluids are viscoelastic, meaning that they have elastic properties in addition to the dissipative properties found in Newtonian fluids. Computational models can help us understand viscoelastic flow, but are often limited in how they deal with...

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Kuron M, Stewart C, de Graaf J, et al. An extensible lattice Boltzmann method for viscoelastic flows: complex and moving boundaries in Oldroyd-B fluids. Eur Phys J E Soft Matter. 2021;44(1):1doi: 10.1140/epje/s10189-020-00005-6.
Kuron, M., Stewart, C., de Graaf, J., & Holm, C. (2021). An extensible lattice Boltzmann method for viscoelastic flows: complex and moving boundaries in Oldroyd-B fluids. The European physical journal. E, Soft matter, 44(1), 1. https://doi.org/10.1140/epje/s10189-020-00005-6
Kuron, Michael, et al. "An extensible lattice Boltzmann method for viscoelastic flows: complex and moving boundaries in Oldroyd-B fluids." The European physical journal. E, Soft matter vol. 44,1 (2021): 1. doi: https://doi.org/10.1140/epje/s10189-020-00005-6
Kuron M, Stewart C, de Graaf J, Holm C. An extensible lattice Boltzmann method for viscoelastic flows: complex and moving boundaries in Oldroyd-B fluids. Eur Phys J E Soft Matter. 2021 Feb 08;44(1):1. doi: 10.1140/epje/s10189-020-00005-6. PMID: 33555445; PMCID: PMC7870644.
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Immunocompromised children and young people are at no increased risk of severe COVID-19.

The Journal of infection

Chappell H, Patel R, Driessens C, Tarr AW, Irving WL, Tighe PJ, Jackson HJ, Harvey-Cowlishaw T, Mills L, Shaunak M, Gbesemete D, Leahy A, Lucas JS, Faust SN, de Graaf H.
PMID: 34785268
J Infect. 2021 Nov 14; doi: 10.1016/j.jinf.2021.11.005. Epub 2021 Nov 14.

OBJECTIVES: We aimed to prospectively describe the incidence and clinical spectrum of SARS-CoV-2 infection in immunocompromised paediatric patients in the UK.METHODS: From March 2020 to 2021 weekly questionnaires were sent to immunocompromised paediatric patients or their parents. Information, including...

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Chappell H, Patel R, Driessens C, et al. Immunocompromised children and young people are at no increased risk of severe COVID-19. J Infect. 2021;doi: 10.1016/j.jinf.2021.11.005.
Chappell, H., Patel, R., Driessens, C., Tarr, A. W., Irving, W. L., Tighe, P. J., Jackson, H. J., Harvey-Cowlishaw, T., Mills, L., Shaunak, M., Gbesemete, D., Leahy, A., Lucas, J. S., Faust, S. N., & de Graaf, H. (2021). Immunocompromised children and young people are at no increased risk of severe COVID-19. The Journal of infection, . https://doi.org/10.1016/j.jinf.2021.11.005
Chappell, H, et al. "Immunocompromised children and young people are at no increased risk of severe COVID-19." The Journal of infection vol. (2021). doi: https://doi.org/10.1016/j.jinf.2021.11.005
Chappell H, Patel R, Driessens C, Tarr AW, Irving WL, Tighe PJ, Jackson HJ, Harvey-Cowlishaw T, Mills L, Shaunak M, Gbesemete D, Leahy A, Lucas JS, Faust SN, de Graaf H. Immunocompromised children and young people are at no increased risk of severe COVID-19. J Infect. 2021 Nov 14; doi: 10.1016/j.jinf.2021.11.005. Epub 2021 Nov 14. PMID: 34785268; PMCID: PMC8590622.
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Exploring dynamic metabolomics data with multiway data analysis: a simulation study.

BMC bioinformatics

Li L, Hoefsloot H, de Graaf AA, Acar E, Smilde AK.
PMID: 35012453
BMC Bioinformatics. 2022 Jan 10;23(1):31. doi: 10.1186/s12859-021-04550-5.

BACKGROUND: Analysis of dynamic metabolomics data holds the promise to improve our understanding of underlying mechanisms in metabolism. For example, it may detect changes in metabolism due to the onset of a disease. Dynamic or time-resolved metabolomics data can...

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Li L, Hoefsloot H, de Graaf AA, et al. Exploring dynamic metabolomics data with multiway data analysis: a simulation study. BMC Bioinformatics. 2022;23(1):31doi: 10.1186/s12859-021-04550-5.
Li, L., Hoefsloot, H., de Graaf, A. A., Acar, E., & Smilde, A. K. (2022). Exploring dynamic metabolomics data with multiway data analysis: a simulation study. BMC bioinformatics, 23(1), 31. https://doi.org/10.1186/s12859-021-04550-5
Li, Lu, et al. "Exploring dynamic metabolomics data with multiway data analysis: a simulation study." BMC bioinformatics vol. 23,1 (2022): 31. doi: https://doi.org/10.1186/s12859-021-04550-5
Li L, Hoefsloot H, de Graaf AA, Acar E, Smilde AK. Exploring dynamic metabolomics data with multiway data analysis: a simulation study. BMC Bioinformatics. 2022 Jan 10;23(1):31. doi: 10.1186/s12859-021-04550-5. PMID: 35012453.
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Clinical review of retinotopy.

The British journal of ophthalmology

Nij Bijvank J, Maillette de Buy Wenniger L, de Graaf P, Petzold A.
PMID: 34887243
Br J Ophthalmol. 2021 Dec 09; doi: 10.1136/bjophthalmol-2021-320563. Epub 2021 Dec 09.

Two observations made 29 years apart are the cornerstones of this review on the contributions of Dr Gordon T. Plant to understanding pathology affecting the optic nerve. The first observation laid the anatomical basis in 1990 for the interpretation...

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Nij Bijvank J, Maillette de Buy Wenniger L, de Graaf P, et al. Clinical review of retinotopy. Br J Ophthalmol. 2021;doi: 10.1136/bjophthalmol-2021-320563.
Nij Bijvank, J., Maillette de Buy Wenniger, L., de Graaf, P., & Petzold, A. (2021). Clinical review of retinotopy. The British journal of ophthalmology, . https://doi.org/10.1136/bjophthalmol-2021-320563
Nij Bijvank, Jenny, et al. "Clinical review of retinotopy." The British journal of ophthalmology vol. (2021). doi: https://doi.org/10.1136/bjophthalmol-2021-320563
Nij Bijvank J, Maillette de Buy Wenniger L, de Graaf P, Petzold A. Clinical review of retinotopy. Br J Ophthalmol. 2021 Dec 09; doi: 10.1136/bjophthalmol-2021-320563. Epub 2021 Dec 09. PMID: 34887243.
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Calibrating rhythmic stimulation parameters to individual electroencephalography markers: The consistency of individual alpha frequency in practical lab settings.

The European journal of neuroscience

Janssens SEW, Sack AT, Ten Oever S, de Graaf TA.
PMID: 34363269
Eur J Neurosci. 2021 Aug 07; doi: 10.1111/ejn.15418. Epub 2021 Aug 07.

Rhythmic stimulation can be applied to modulate neuronal oscillations. Such 'entrainment' is optimized when stimulation frequency is individually calibrated based on magneto/encephalography markers. It remains unknown how consistent such individual markers are across days/sessions, within a session, or across...

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Janssens SEW, Sack AT, Ten Oever S, et al. Calibrating rhythmic stimulation parameters to individual electroencephalography markers: The consistency of individual alpha frequency in practical lab settings. Eur J Neurosci. 2021;doi: 10.1111/ejn.15418.
Janssens, S. E. W., Sack, A. T., Ten Oever, S., & de Graaf, T. A. (2021). Calibrating rhythmic stimulation parameters to individual electroencephalography markers: The consistency of individual alpha frequency in practical lab settings. The European journal of neuroscience, . https://doi.org/10.1111/ejn.15418
Janssens, Shanice E W, et al. "Calibrating rhythmic stimulation parameters to individual electroencephalography markers: The consistency of individual alpha frequency in practical lab settings." The European journal of neuroscience vol. (2021). doi: https://doi.org/10.1111/ejn.15418
Janssens SEW, Sack AT, Ten Oever S, de Graaf TA. Calibrating rhythmic stimulation parameters to individual electroencephalography markers: The consistency of individual alpha frequency in practical lab settings. Eur J Neurosci. 2021 Aug 07; doi: 10.1111/ejn.15418. Epub 2021 Aug 07. PMID: 34363269.
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Exploring dynamic metabolomics data with multiway data analysis: a simulation study.

BMC bioinformatics

Li L, Hoefsloot H, de Graaf AA, Acar E, Smilde AK.
PMID: 35012453
BMC Bioinformatics. 2022 Jan 10;23(1):31. doi: 10.1186/s12859-021-04550-5.

BACKGROUND: Analysis of dynamic metabolomics data holds the promise to improve our understanding of underlying mechanisms in metabolism. For example, it may detect changes in metabolism due to the onset of a disease. Dynamic or time-resolved metabolomics data can...

Cite
Li L, Hoefsloot H, de Graaf AA, et al. Exploring dynamic metabolomics data with multiway data analysis: a simulation study. BMC Bioinformatics. 2022;23(1):31doi: 10.1186/s12859-021-04550-5.
Li, L., Hoefsloot, H., de Graaf, A. A., Acar, E., & Smilde, A. K. (2022). Exploring dynamic metabolomics data with multiway data analysis: a simulation study. BMC bioinformatics, 23(1), 31. https://doi.org/10.1186/s12859-021-04550-5
Li, Lu, et al. "Exploring dynamic metabolomics data with multiway data analysis: a simulation study." BMC bioinformatics vol. 23,1 (2022): 31. doi: https://doi.org/10.1186/s12859-021-04550-5
Li L, Hoefsloot H, de Graaf AA, Acar E, Smilde AK. Exploring dynamic metabolomics data with multiway data analysis: a simulation study. BMC Bioinformatics. 2022 Jan 10;23(1):31. doi: 10.1186/s12859-021-04550-5. PMID: 35012453; PMCID: PMC8750750.
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Showing 385 to 392 of 392 entries