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The evolutionary legacy of size-selective harvesting extends from genes to populations.

Evolutionary applications

Uusi-Heikkilä S, Whiteley AR, Kuparinen A, Matsumura S, Venturelli PA, Wolter C, Slate J, Primmer CR, Meinelt T, Killen SS, Bierbach D, Polverino G, Ludwig A, Arlinghaus R.
PMID: 26136825
Evol Appl. 2015 Jul;8(6):597-620. doi: 10.1111/eva.12268. Epub 2015 May 27.

Size-selective harvesting is assumed to alter life histories of exploited fish populations, thereby negatively affecting population productivity, recovery, and yield. However, demonstrating that fisheries-induced phenotypic changes in the wild are at least partly genetically determined has proved notoriously difficult....

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Uusi-Heikkilä S, Whiteley AR, Kuparinen A, et al. The evolutionary legacy of size-selective harvesting extends from genes to populations. Evol Appl. 2015;8(6):597-620doi: 10.1111/eva.12268.
Uusi-Heikkilä, S., Whiteley, A. R., Kuparinen, A., Matsumura, S., Venturelli, P. A., Wolter, C., Slate, J., Primmer, C. R., Meinelt, T., Killen, S. S., Bierbach, D., Polverino, G., Ludwig, A., & Arlinghaus, R. (2015). The evolutionary legacy of size-selective harvesting extends from genes to populations. Evolutionary applications, 8(6), 597-620. https://doi.org/10.1111/eva.12268
Uusi-Heikkilä, Silva, et al. "The evolutionary legacy of size-selective harvesting extends from genes to populations." Evolutionary applications vol. 8,6 (2015): 597-620. doi: https://doi.org/10.1111/eva.12268
Uusi-Heikkilä S, Whiteley AR, Kuparinen A, Matsumura S, Venturelli PA, Wolter C, Slate J, Primmer CR, Meinelt T, Killen SS, Bierbach D, Polverino G, Ludwig A, Arlinghaus R. The evolutionary legacy of size-selective harvesting extends from genes to populations. Evol Appl. 2015 Jul;8(6):597-620. doi: 10.1111/eva.12268. Epub 2015 May 27. PMID: 26136825; PMCID: PMC4479515.
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Quantitative Evaluation of Temporal Regularizers in Compressed Sensing Dynamic Contrast Enhanced MRI of the Breast.

International journal of biomedical imaging

Wang D, Arlinghaus LR, Yankeelov TE, Yang X, Smith DS.
PMID: 28932236
Int J Biomed Imaging. 2017;2017:7835749. doi: 10.1155/2017/7835749. Epub 2017 Aug 28.

PURPOSE: Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) is used in cancer imaging to probe tumor vascular properties. Compressed sensing (CS) theory makes it possible to recover MR images from randomly undersampled METHODS: We considered five ubiquitous temporal regularizers...

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Wang D, Arlinghaus LR, Yankeelov TE, et al. Quantitative Evaluation of Temporal Regularizers in Compressed Sensing Dynamic Contrast Enhanced MRI of the Breast. Int J Biomed Imaging. 2017;2017:7835749doi: 10.1155/2017/7835749.
Wang, D., Arlinghaus, L. R., Yankeelov, T. E., Yang, X., & Smith, D. S. (2017). Quantitative Evaluation of Temporal Regularizers in Compressed Sensing Dynamic Contrast Enhanced MRI of the Breast. International journal of biomedical imaging, 20177835749. https://doi.org/10.1155/2017/7835749
Wang, Dong, et al. "Quantitative Evaluation of Temporal Regularizers in Compressed Sensing Dynamic Contrast Enhanced MRI of the Breast." International journal of biomedical imaging vol. 2017 (2017): 7835749. doi: https://doi.org/10.1155/2017/7835749
Wang D, Arlinghaus LR, Yankeelov TE, Yang X, Smith DS. Quantitative Evaluation of Temporal Regularizers in Compressed Sensing Dynamic Contrast Enhanced MRI of the Breast. Int J Biomed Imaging. 2017;2017:7835749. doi: 10.1155/2017/7835749. Epub 2017 Aug 28. PMID: 28932236; PMCID: PMC5592397.
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HSP90 inhibitor AUY922 induces cell death by disruption of the Bcr-Abl, Jak2 and HSP90 signaling network complex in leukemia cells.

Genes & cancer

Tao W, Chakraborty SN, Leng X, Ma H, Arlinghaus RB.
PMID: 25821558
Genes Cancer. 2015 Jan;6(1):19-29. doi: 10.18632/genesandcancer.49.

The Bcr-Abl protein is an important client protein of heat shock protein 90 (HSP90). We evaluated the inhibitory effects of the HSP90 ATPase inhibitor AUY922 on 32D mouse hematopoietic cells expressing wild-type Bcr-Abl (b3a2, 32Dp210) and mutant Bcr-Abl imatinib...

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Tao W, Chakraborty SN, Leng X, et al. HSP90 inhibitor AUY922 induces cell death by disruption of the Bcr-Abl, Jak2 and HSP90 signaling network complex in leukemia cells. Genes Cancer. 2015;6(1):19-29doi: 10.18632/genesandcancer.49.
Tao, W., Chakraborty, S. N., Leng, X., Ma, H., & Arlinghaus, R. B. (2015). HSP90 inhibitor AUY922 induces cell death by disruption of the Bcr-Abl, Jak2 and HSP90 signaling network complex in leukemia cells. Genes & cancer, 6(1), 19-29. https://doi.org/10.18632/genesandcancer.49
Tao, Wenjing, et al. "HSP90 inhibitor AUY922 induces cell death by disruption of the Bcr-Abl, Jak2 and HSP90 signaling network complex in leukemia cells." Genes & cancer vol. 6,1 (2015): 19-29. doi: https://doi.org/10.18632/genesandcancer.49
Tao W, Chakraborty SN, Leng X, Ma H, Arlinghaus RB. HSP90 inhibitor AUY922 induces cell death by disruption of the Bcr-Abl, Jak2 and HSP90 signaling network complex in leukemia cells. Genes Cancer. 2015 Jan;6(1):19-29. doi: 10.18632/genesandcancer.49. PMID: 25821558; PMCID: PMC4362481.
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Calculation of Membrane Lipid Ratios Using Single-Pixel Time-of-Flight Secondary Ion Mass Spectrometry Analysis.

Analytical chemistry

Kassenböhmer R, Draude F, Körsgen M, Pelster A, Arlinghaus HF.
PMID: 26146009
Anal Chem. 2015 Aug 04;87(15):7795-802. doi: 10.1021/acs.analchem.5b01456. Epub 2015 Jul 20.

Much evidence suggests that membrane domains, termed lipid rafts, which are enriched in sphingomyeline and cholesterol play important roles in the regulation of physiological and pathophysiological processes. A label-free quantitative imaging method for lipids is lacking at present. We...

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Kassenböhmer R, Draude F, Körsgen M, et al. Calculation of Membrane Lipid Ratios Using Single-Pixel Time-of-Flight Secondary Ion Mass Spectrometry Analysis. Anal Chem. 2015;87(15):7795-802doi: 10.1021/acs.analchem.5b01456.
Kassenböhmer, R., Draude, F., Körsgen, M., Pelster, A., & Arlinghaus, H. F. (2015). Calculation of Membrane Lipid Ratios Using Single-Pixel Time-of-Flight Secondary Ion Mass Spectrometry Analysis. Analytical chemistry, 87(15), 7795-802. https://doi.org/10.1021/acs.analchem.5b01456
Kassenböhmer, Rainer, et al. "Calculation of Membrane Lipid Ratios Using Single-Pixel Time-of-Flight Secondary Ion Mass Spectrometry Analysis." Analytical chemistry vol. 87,15 (2015): 7795-802. doi: https://doi.org/10.1021/acs.analchem.5b01456
Kassenböhmer R, Draude F, Körsgen M, Pelster A, Arlinghaus HF. Calculation of Membrane Lipid Ratios Using Single-Pixel Time-of-Flight Secondary Ion Mass Spectrometry Analysis. Anal Chem. 2015 Aug 04;87(15):7795-802. doi: 10.1021/acs.analchem.5b01456. Epub 2015 Jul 20. PMID: 26146009.
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Analyzing Spatial Heterogeneity in DCE- and DW-MRI Parametric Maps to Optimize Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer.

Translational oncology

Li X, Kang H, Arlinghaus LR, Abramson RG, Chakravarthy AB, Abramson VG, Farley J, Sanders M, Yankeelov TE.
PMID: 24772203
Transl Oncol. 2014 Feb 01;7(1):14-22. doi: 10.1593/tlo.13748. eCollection 2014 Feb.

The purpose of this study is to investigate the ability of multivariate analysis of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted MRI (DW-MRI) parametric maps, obtained early in the course of therapy, to predict which patients will achieve...

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Li X, Kang H, Arlinghaus LR, et al. Analyzing Spatial Heterogeneity in DCE- and DW-MRI Parametric Maps to Optimize Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer. Transl Oncol. 2014;7(1):14-22doi: 10.1593/tlo.13748.
Li, X., Kang, H., Arlinghaus, L. R., Abramson, R. G., Chakravarthy, A. B., Abramson, V. G., Farley, J., Sanders, M., & Yankeelov, T. E. (2014). Analyzing Spatial Heterogeneity in DCE- and DW-MRI Parametric Maps to Optimize Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer. Translational oncology, 7(1), 14-22. https://doi.org/10.1593/tlo.13748
Li, Xia, et al. "Analyzing Spatial Heterogeneity in DCE- and DW-MRI Parametric Maps to Optimize Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer." Translational oncology vol. 7,1 (2014): 14-22. doi: https://doi.org/10.1593/tlo.13748
Li X, Kang H, Arlinghaus LR, Abramson RG, Chakravarthy AB, Abramson VG, Farley J, Sanders M, Yankeelov TE. Analyzing Spatial Heterogeneity in DCE- and DW-MRI Parametric Maps to Optimize Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer. Transl Oncol. 2014 Feb 01;7(1):14-22. doi: 10.1593/tlo.13748. eCollection 2014 Feb. PMID: 24772203; PMCID: PMC3998687.
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A proteomic dataset of secreted proteins by three .

Data in brief

Oliveira AS, Rosa IIR, Novaes E, de Oliveira LS, Baeza LC, Borges CL, Marlinghaus L, de Almeida Soares CM, Giambiagi-deMarval M, Parente-Rocha JA.
PMID: 30456272
Data Brief. 2018 Oct 27;21:1472-1476. doi: 10.1016/j.dib.2018.10.122. eCollection 2018 Dec.

This article presents a proteomic dataset generated from a comparative analysis of the exoproteome of

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Oliveira AS, Rosa IIR, Novaes E, et al. A proteomic dataset of secreted proteins by three . Data Brief. 2018;21:1472-1476doi: 10.1016/j.dib.2018.10.122.
Oliveira, A. S., Rosa, I. I. R., Novaes, E., de Oliveira, L. S., Baeza, L. C., Borges, C. L., Marlinghaus, L., de Almeida Soares, C. M., Giambiagi-deMarval, M., & Parente-Rocha, J. A. (2018). A proteomic dataset of secreted proteins by three . Data in brief, 211472-1476. https://doi.org/10.1016/j.dib.2018.10.122
Oliveira, Andrea Santana de, et al. "A proteomic dataset of secreted proteins by three ." Data in brief vol. 21 (2018): 1472-1476. doi: https://doi.org/10.1016/j.dib.2018.10.122
Oliveira AS, Rosa IIR, Novaes E, de Oliveira LS, Baeza LC, Borges CL, Marlinghaus L, de Almeida Soares CM, Giambiagi-deMarval M, Parente-Rocha JA. A proteomic dataset of secreted proteins by three . Data Brief. 2018 Oct 27;21:1472-1476. doi: 10.1016/j.dib.2018.10.122. eCollection 2018 Dec. PMID: 30456272; PMCID: PMC6234272.
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Reducing Anxiety to Increase Exercise in Individuals With Decreased Lung Capacity.

American journal of lifestyle medicine

Arlinghaus KR, Markofski MM, Johnston CA.
PMID: 30202347
Am J Lifestyle Med. 2017 Apr 12;11(4):307-309. doi: 10.1177/1559827617703058. eCollection 2017.

The management of chronic disease is complex. For many diseases, the treatment for the disease may mimic disease symptoms. For example, exercise training is recommended as part of the treatment of chronic obstructive pulmonary disease (COPD). Individuals may confuse...

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Arlinghaus KR, Markofski MM, Johnston CA. Reducing Anxiety to Increase Exercise in Individuals With Decreased Lung Capacity. Am J Lifestyle Med. 2017;11(4):307-309doi: 10.1177/1559827617703058.
Arlinghaus, K. R., Markofski, M. M., & Johnston, C. A. (2017). Reducing Anxiety to Increase Exercise in Individuals With Decreased Lung Capacity. American journal of lifestyle medicine, 11(4), 307-309. https://doi.org/10.1177/1559827617703058
Arlinghaus, Katherine R, et al. "Reducing Anxiety to Increase Exercise in Individuals With Decreased Lung Capacity." American journal of lifestyle medicine vol. 11,4 (2017): 307-309. doi: https://doi.org/10.1177/1559827617703058
Arlinghaus KR, Markofski MM, Johnston CA. Reducing Anxiety to Increase Exercise in Individuals With Decreased Lung Capacity. Am J Lifestyle Med. 2017 Apr 12;11(4):307-309. doi: 10.1177/1559827617703058. eCollection 2017. PMID: 30202347; PMCID: PMC6125101.
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Toward uniform implementation of parametric map Digital Imaging and Communication in Medicine standard in multisite quantitative diffusion imaging studies.

Journal of medical imaging (Bellingham, Wash.)

Malyarenko D, Fedorov A, Bell L, Prah M, Hectors S, Arlinghaus L, Muzi M, Solaiyappan M, Jacobs M, Fung M, Shukla-Dave A, McManus K, Boss M, Taouli B, Yankeelov TE, Quarles CC, Schmainda K, Chenevert TL, Newitt DC.
PMID: 29134189
J Med Imaging (Bellingham). 2018 Jan;5(1):011006. doi: 10.1117/1.JMI.5.1.011006. Epub 2017 Oct 30.

This paper reports on results of a multisite collaborative project launched by the MRI subgroup of Quantitative Imaging Network to assess current capability and provide future guidelines for generating a standard parametric diffusion map Digital Imaging and Communication in...

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Malyarenko D, Fedorov A, Bell L, et al. Toward uniform implementation of parametric map Digital Imaging and Communication in Medicine standard in multisite quantitative diffusion imaging studies. J Med Imaging (Bellingham). 2017;5(1):011006doi: 10.1117/1.JMI.5.1.011006.
Malyarenko, D., Fedorov, A., Bell, L., Prah, M., Hectors, S., Arlinghaus, L., Muzi, M., Solaiyappan, M., Jacobs, M., Fung, M., Shukla-Dave, A., McManus, K., Boss, M., Taouli, B., Yankeelov, T. E., Quarles, C. C., Schmainda, K., Chenevert, T. L., & Newitt, D. C. (2018). Toward uniform implementation of parametric map Digital Imaging and Communication in Medicine standard in multisite quantitative diffusion imaging studies. Journal of medical imaging (Bellingham, Wash.), 5(1), 011006. https://doi.org/10.1117/1.JMI.5.1.011006
Malyarenko, Dariya, et al. "Toward uniform implementation of parametric map Digital Imaging and Communication in Medicine standard in multisite quantitative diffusion imaging studies." Journal of medical imaging (Bellingham, Wash.) vol. 5,1 (2018): 011006. doi: https://doi.org/10.1117/1.JMI.5.1.011006
Malyarenko D, Fedorov A, Bell L, Prah M, Hectors S, Arlinghaus L, Muzi M, Solaiyappan M, Jacobs M, Fung M, Shukla-Dave A, McManus K, Boss M, Taouli B, Yankeelov TE, Quarles CC, Schmainda K, Chenevert TL, Newitt DC. Toward uniform implementation of parametric map Digital Imaging and Communication in Medicine standard in multisite quantitative diffusion imaging studies. J Med Imaging (Bellingham). 2018 Jan;5(1):011006. doi: 10.1117/1.JMI.5.1.011006. Epub 2017 Oct 30. PMID: 29134189; PMCID: PMC5658654.
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High adenovirus 36 seroprevalence among a population of Hispanic American youth.

International journal of adolescent medicine and health

LaVoy EC, Arlinghaus KR, Rooney BV, Gupta P, Atkinson R, Johnston CA.
PMID: 30496137
Int J Adolesc Med Health. 2018 Nov 29;33(2). doi: 10.1515/ijamh-2018-0110.

Infection with adenovirus 36 (Ad36) has been associated with risk of obesity in youth in some studies, but the seroprevalence of this virus has not been examined among all populations. As Hispanic-American youth are of greater risk for obesity...

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LaVoy EC, Arlinghaus KR, Rooney BV, et al. High adenovirus 36 seroprevalence among a population of Hispanic American youth. Int J Adolesc Med Health. 2018;33(2)doi: 10.1515/ijamh-2018-0110.
LaVoy, E. C., Arlinghaus, K. R., Rooney, B. V., Gupta, P., Atkinson, R., & Johnston, C. A. (2018). High adenovirus 36 seroprevalence among a population of Hispanic American youth. International journal of adolescent medicine and health, 33(2), . https://doi.org/10.1515/ijamh-2018-0110
LaVoy, Emily C, et al. "High adenovirus 36 seroprevalence among a population of Hispanic American youth." International journal of adolescent medicine and health vol. 33,2 (2018). doi: https://doi.org/10.1515/ijamh-2018-0110
LaVoy EC, Arlinghaus KR, Rooney BV, Gupta P, Atkinson R, Johnston CA. High adenovirus 36 seroprevalence among a population of Hispanic American youth. Int J Adolesc Med Health. 2018 Nov 29;33(2). doi: 10.1515/ijamh-2018-0110. PMID: 30496137.
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Solid state electrochemiluminescence from homogeneous and patterned monolayers of bifunctional spirobifluorene.

Chemical communications (Cambridge, England)

Kudruk S, Villani E, Polo F, Lamping S, Körsgen M, Arlinghaus HF, Paolucci F, Ravoo BJ, Valenti G, Rizzo F.
PMID: 29707706
Chem Commun (Camb). 2018 May 10;54(39):4999-5002. doi: 10.1039/c8cc02066c.

Electrochemiluminescence (ECL) generated by a monolayer of a spirobifluorene derivative covalently bound onto an indium tin oxide (ITO) substrate is reported for the first time. Our approach allows the efficient preparation homogeneous and patterned substrates through micromolding in capillaries...

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Kudruk S, Villani E, Polo F, et al. Solid state electrochemiluminescence from homogeneous and patterned monolayers of bifunctional spirobifluorene. Chem Commun (Camb). 2018;54(39):4999-5002doi: 10.1039/c8cc02066c.
Kudruk, S., Villani, E., Polo, F., Lamping, S., Körsgen, M., Arlinghaus, H. F., Paolucci, F., Ravoo, B. J., Valenti, G., & Rizzo, F. (2018). Solid state electrochemiluminescence from homogeneous and patterned monolayers of bifunctional spirobifluorene. Chemical communications (Cambridge, England), 54(39), 4999-5002. https://doi.org/10.1039/c8cc02066c
Kudruk, Sergej, et al. "Solid state electrochemiluminescence from homogeneous and patterned monolayers of bifunctional spirobifluorene." Chemical communications (Cambridge, England) vol. 54,39 (2018): 4999-5002. doi: https://doi.org/10.1039/c8cc02066c
Kudruk S, Villani E, Polo F, Lamping S, Körsgen M, Arlinghaus HF, Paolucci F, Ravoo BJ, Valenti G, Rizzo F. Solid state electrochemiluminescence from homogeneous and patterned monolayers of bifunctional spirobifluorene. Chem Commun (Camb). 2018 May 10;54(39):4999-5002. doi: 10.1039/c8cc02066c. PMID: 29707706.
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Integrating Mindfulness Into Eating Behaviors.

American journal of lifestyle medicine

Sorensen MD, Arlinghaus KR, Ledoux TA, Johnston CA.
PMID: 31662716
Am J Lifestyle Med. 2019 Aug 15;13(6):537-539. doi: 10.1177/1559827619867626. eCollection 2019.

Food choices and eating behaviors are influenced by a wide variety of factors. However, traditional dietary advice primarily addresses health-related reasons for eating. Lifestyle medicine outcomes may be improved by helping individuals become more aware of why they eat...

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Sorensen MD, Arlinghaus KR, Ledoux TA, et al. Integrating Mindfulness Into Eating Behaviors. Am J Lifestyle Med. 2019;13(6):537-539doi: 10.1177/1559827619867626.
Sorensen, M. D., Arlinghaus, K. R., Ledoux, T. A., & Johnston, C. A. (2019). Integrating Mindfulness Into Eating Behaviors. American journal of lifestyle medicine, 13(6), 537-539. https://doi.org/10.1177/1559827619867626
Sorensen, Meredith D, et al. "Integrating Mindfulness Into Eating Behaviors." American journal of lifestyle medicine vol. 13,6 (2019): 537-539. doi: https://doi.org/10.1177/1559827619867626
Sorensen MD, Arlinghaus KR, Ledoux TA, Johnston CA. Integrating Mindfulness Into Eating Behaviors. Am J Lifestyle Med. 2019 Aug 15;13(6):537-539. doi: 10.1177/1559827619867626. eCollection 2019. PMID: 31662716; PMCID: PMC6796218.
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Developing Adaptive Learning Environments to Support Long-Term Health Promotion.

American journal of lifestyle medicine

Lopez T, Arlinghaus KR, Johnston CA.
PMID: 30627073
Am J Lifestyle Med. 2018 Nov 25;13(1):30-32. doi: 10.1177/1559827618807389. eCollection 2019.

Health promotion strategies typically include changing the environment, providing supervision to decrease the likelihood an unhealthy behavior will occur, and increasing skills to make decisions supporting health in environments in which such choices are challenging to make. The first...

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Lopez T, Arlinghaus KR, Johnston CA. Developing Adaptive Learning Environments to Support Long-Term Health Promotion. Am J Lifestyle Med. 2018;13(1):30-32doi: 10.1177/1559827618807389.
Lopez, T., Arlinghaus, K. R., & Johnston, C. A. (2019). Developing Adaptive Learning Environments to Support Long-Term Health Promotion. American journal of lifestyle medicine, 13(1), 30-32. https://doi.org/10.1177/1559827618807389
Lopez, Tabbetha, et al. "Developing Adaptive Learning Environments to Support Long-Term Health Promotion." American journal of lifestyle medicine vol. 13,1 (2019): 30-32. doi: https://doi.org/10.1177/1559827618807389
Lopez T, Arlinghaus KR, Johnston CA. Developing Adaptive Learning Environments to Support Long-Term Health Promotion. Am J Lifestyle Med. 2018 Nov 25;13(1):30-32. doi: 10.1177/1559827618807389. eCollection 2019. PMID: 30627073; PMCID: PMC6311601.
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Showing 1 to 12 of 93 entries