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Bright Fluorescent Nanotags from Bottlebrush Polymers with DNA-Tipped Bristles.

ACS central science

Fouz MF, Mukumoto K, Averick S, Molinar O, McCartney BM, Matyjaszewski K, Armitage BA, Das SR.
PMID: 27163005
ACS Cent Sci. 2015 Nov 25;1(8):431-8. doi: 10.1021/acscentsci.5b00259. Epub 2015 Nov 04.

Bright signal outputs are needed for fluorescence detection of biomolecules at their native expression levels. Increasing the number of labels on a probe often results in crowding-induced self-quenching of chromophores, and maintaining the function of the targeting moiety (e.g.,...

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Fouz MF, Mukumoto K, Averick S, et al. Bright Fluorescent Nanotags from Bottlebrush Polymers with DNA-Tipped Bristles. ACS Cent Sci. 2015;1(8):431-8doi: 10.1021/acscentsci.5b00259.
Fouz, M. F., Mukumoto, K., Averick, S., Molinar, O., McCartney, B. M., Matyjaszewski, K., Armitage, B. A., & Das, S. R. (2015). Bright Fluorescent Nanotags from Bottlebrush Polymers with DNA-Tipped Bristles. ACS central science, 1(8), 431-8. https://doi.org/10.1021/acscentsci.5b00259
Fouz, Munira F, et al. "Bright Fluorescent Nanotags from Bottlebrush Polymers with DNA-Tipped Bristles." ACS central science vol. 1,8 (2015): 431-8. doi: https://doi.org/10.1021/acscentsci.5b00259
Fouz MF, Mukumoto K, Averick S, Molinar O, McCartney BM, Matyjaszewski K, Armitage BA, Das SR. Bright Fluorescent Nanotags from Bottlebrush Polymers with DNA-Tipped Bristles. ACS Cent Sci. 2015 Nov 25;1(8):431-8. doi: 10.1021/acscentsci.5b00259. Epub 2015 Nov 04. PMID: 27163005; PMCID: PMC4827471.
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Metabolic and transcriptional response to a high-fat diet in Drosophila melanogaster.

Molecular metabolism

Heinrichsen ET, Zhang H, Robinson JE, Ngo J, Diop S, Bodmer R, Joiner WJ, Metallo CM, Haddad GG.
PMID: 24567903
Mol Metab. 2013 Oct 23;3(1):42-54. doi: 10.1016/j.molmet.2013.10.003. eCollection 2014 Feb.

Obesity has dramatically increased in prevalence, making it essential to understand its accompanying metabolic changes. Modeling diet-induced obesity in Drosophila melanogaster (fruit flies), we elucidated transcriptional and metabolic changes in w (1118) flies on a high-fat diet (HFD). Mass...

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Heinrichsen ET, Zhang H, Robinson JE, et al. Metabolic and transcriptional response to a high-fat diet in Drosophila melanogaster. Mol Metab. 2013;3(1):42-54doi: 10.1016/j.molmet.2013.10.003.
Heinrichsen, E. T., Zhang, H., Robinson, J. E., Ngo, J., Diop, S., Bodmer, R., Joiner, W. J., Metallo, C. M., & Haddad, G. G. (2014). Metabolic and transcriptional response to a high-fat diet in Drosophila melanogaster. Molecular metabolism, 3(1), 42-54. https://doi.org/10.1016/j.molmet.2013.10.003
Heinrichsen, Erilynn T, et al. "Metabolic and transcriptional response to a high-fat diet in Drosophila melanogaster." Molecular metabolism vol. 3,1 (2014): 42-54. doi: https://doi.org/10.1016/j.molmet.2013.10.003
Heinrichsen ET, Zhang H, Robinson JE, Ngo J, Diop S, Bodmer R, Joiner WJ, Metallo CM, Haddad GG. Metabolic and transcriptional response to a high-fat diet in Drosophila melanogaster. Mol Metab. 2013 Oct 23;3(1):42-54. doi: 10.1016/j.molmet.2013.10.003. eCollection 2014 Feb. PMID: 24567903; PMCID: PMC3929909.
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Inhibition of Allograft Inflammatory Factor-1 in Dendritic Cells Restrains CD4.

Frontiers in immunology

Elizondo DM, Andargie TE, Yang D, Kacsinta AD, Lipscomb MW.
PMID: 29167673
Front Immunol. 2017 Nov 08;8:1502. doi: 10.3389/fimmu.2017.01502. eCollection 2017.

Allograft inflammatory factor-1 (AIF1) is a cytoplasmic scaffold protein shown to influence immune responses in macrophages and microglial cells. The protein contains Ca

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Elizondo DM, Andargie TE, Yang D, et al. Inhibition of Allograft Inflammatory Factor-1 in Dendritic Cells Restrains CD4. Front Immunol. 2017;8:1502doi: 10.3389/fimmu.2017.01502.
Elizondo, D. M., Andargie, T. E., Yang, D., Kacsinta, A. D., & Lipscomb, M. W. (2017). Inhibition of Allograft Inflammatory Factor-1 in Dendritic Cells Restrains CD4. Frontiers in immunology, 81502. https://doi.org/10.3389/fimmu.2017.01502
Elizondo, Diana M, et al. "Inhibition of Allograft Inflammatory Factor-1 in Dendritic Cells Restrains CD4." Frontiers in immunology vol. 8 (2017): 1502. doi: https://doi.org/10.3389/fimmu.2017.01502
Elizondo DM, Andargie TE, Yang D, Kacsinta AD, Lipscomb MW. Inhibition of Allograft Inflammatory Factor-1 in Dendritic Cells Restrains CD4. Front Immunol. 2017 Nov 08;8:1502. doi: 10.3389/fimmu.2017.01502. eCollection 2017. PMID: 29167673; PMCID: PMC5682305.
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Microbial Genetic Composition Tunes Host Longevity.

Cell

Han B, Sivaramakrishnan P, Lin CJ, Neve IAA, He J, Tay LWR, Sowa JN, Sizovs A, Du G, Wang J, Herman C, Wang MC.
PMID: 29727664
Cell. 2018 May 03;173(4):1058. doi: 10.1016/j.cell.2018.04.026.

No abstract available.

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Han B, Sivaramakrishnan P, Lin CJ, et al. Microbial Genetic Composition Tunes Host Longevity. Cell. 2018;173(4):1058doi: 10.1016/j.cell.2018.04.026.
Han, B., Sivaramakrishnan, P., Lin, C. J., Neve, I. A. A., He, J., Tay, L. W. R., Sowa, J. N., Sizovs, A., Du, G., Wang, J., Herman, C., & Wang, M. C. (2018). Microbial Genetic Composition Tunes Host Longevity. Cell, 173(4), 1058. https://doi.org/10.1016/j.cell.2018.04.026
Han, Bing, et al. "Microbial Genetic Composition Tunes Host Longevity." Cell vol. 173,4 (2018): 1058. doi: https://doi.org/10.1016/j.cell.2018.04.026
Han B, Sivaramakrishnan P, Lin CJ, Neve IAA, He J, Tay LWR, Sowa JN, Sizovs A, Du G, Wang J, Herman C, Wang MC. Microbial Genetic Composition Tunes Host Longevity. Cell. 2018 May 03;173(4):1058. doi: 10.1016/j.cell.2018.04.026. PMID: 29727664; PMCID: PMC6240461.
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Pathogenic .

mSystems

Diner RE, Kaul D, Rabines A, Zheng H, Steele JA, Griffith JF, Allen AE.
PMID: 34227831
mSystems. 2021 Aug 31;6(4):e0057121. doi: 10.1128/mSystems.00571-21. Epub 2021 Jul 06.

Interactions between vibrio bacteria and the planktonic community impact marine ecology and human health. Many coastal

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Diner RE, Kaul D, Rabines A, et al. Pathogenic . mSystems. 2021;6(4):e0057121doi: 10.1128/mSystems.00571-21.
Diner, R. E., Kaul, D., Rabines, A., Zheng, H., Steele, J. A., Griffith, J. F., & Allen, A. E. (2021). Pathogenic . mSystems, 6(4), e0057121. https://doi.org/10.1128/mSystems.00571-21
Diner, Rachel E, et al. "Pathogenic ." mSystems vol. 6,4 (2021): e0057121. doi: https://doi.org/10.1128/mSystems.00571-21
Diner RE, Kaul D, Rabines A, Zheng H, Steele JA, Griffith JF, Allen AE. Pathogenic . mSystems. 2021 Aug 31;6(4):e0057121. doi: 10.1128/mSystems.00571-21. Epub 2021 Jul 06. PMID: 34227831; PMCID: PMC8407410.
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The transcription factor ZIP-1 promotes resistance to intracellular infection in Caenorhabditis elegans.

Nature communications

Lažetić V, Wu F, Cohen LB, Reddy KC, Chang YT, Gang SS, Bhabha G, Troemel ER.
PMID: 35013162
Nat Commun. 2022 Jan 10;13(1):17. doi: 10.1038/s41467-021-27621-w.

Defense against intracellular infection has been extensively studied in vertebrate hosts, but less is known about invertebrate hosts; specifically, the transcription factors that induce defense against intracellular intestinal infection in the model nematode Caenorhabditis elegans remain understudied. Two different...

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Lažetić V, Wu F, Cohen LB, et al. The transcription factor ZIP-1 promotes resistance to intracellular infection in Caenorhabditis elegans. Nat Commun. 2022;13(1):17doi: 10.1038/s41467-021-27621-w.
Lažetić, V., Wu, F., Cohen, L. B., Reddy, K. C., Chang, Y. T., Gang, S. S., Bhabha, G., & Troemel, E. R. (2022). The transcription factor ZIP-1 promotes resistance to intracellular infection in Caenorhabditis elegans. Nature communications, 13(1), 17. https://doi.org/10.1038/s41467-021-27621-w
Lažetić, Vladimir, et al. "The transcription factor ZIP-1 promotes resistance to intracellular infection in Caenorhabditis elegans." Nature communications vol. 13,1 (2022): 17. doi: https://doi.org/10.1038/s41467-021-27621-w
Lažetić V, Wu F, Cohen LB, Reddy KC, Chang YT, Gang SS, Bhabha G, Troemel ER. The transcription factor ZIP-1 promotes resistance to intracellular infection in Caenorhabditis elegans. Nat Commun. 2022 Jan 10;13(1):17. doi: 10.1038/s41467-021-27621-w. PMID: 35013162.
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Regulation of Antigen-Experienced T Cells: Lessons from the Quintessential Memory Marker CD44.

Frontiers in immunology

Baaten BJ, Tinoco R, Chen AT, Bradley LM.
PMID: 22566907
Front Immunol. 2012 Feb 27;3:23. doi: 10.3389/fimmu.2012.00023. eCollection 2012.

Despite the widespread use of the cell-surface receptor CD44 as a marker for antigen (Ag)-experienced, effector and memory T cells, surprisingly little is known regarding its function on these cells. The best-established function of CD44 is the regulation of...

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Baaten BJ, Tinoco R, Chen AT, et al. Regulation of Antigen-Experienced T Cells: Lessons from the Quintessential Memory Marker CD44. Front Immunol. 2012;3:23doi: 10.3389/fimmu.2012.00023.
Baaten, B. J., Tinoco, R., Chen, A. T., & Bradley, L. M. (2012). Regulation of Antigen-Experienced T Cells: Lessons from the Quintessential Memory Marker CD44. Frontiers in immunology, 323. https://doi.org/10.3389/fimmu.2012.00023
Baaten, Bas J G, et al. "Regulation of Antigen-Experienced T Cells: Lessons from the Quintessential Memory Marker CD44." Frontiers in immunology vol. 3 (2012): 23. doi: https://doi.org/10.3389/fimmu.2012.00023
Baaten BJ, Tinoco R, Chen AT, Bradley LM. Regulation of Antigen-Experienced T Cells: Lessons from the Quintessential Memory Marker CD44. Front Immunol. 2012 Feb 27;3:23. doi: 10.3389/fimmu.2012.00023. eCollection 2012. PMID: 22566907; PMCID: PMC3342067.
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An Integrated Metabolomic and Genomic Mining Workflow To Uncover the Biosynthetic Potential of Bacteria.

mSystems

Maansson M, Vynne NG, Klitgaard A, Nybo JL, Melchiorsen J, Nguyen DD, Sanchez LM, Ziemert N, Dorrestein PC, Andersen MR, Gram L.
PMID: 27822535
mSystems. 2016 May 03;1(3). doi: 10.1128/mSystems.00028-15. eCollection 2016.

Microorganisms are a rich source of bioactives; however, chemical identification is a major bottleneck. Strategies that can prioritize the most prolific microbial strains and novel compounds are of great interest. Here, we present an integrated approach to evaluate the...

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Maansson M, Vynne NG, Klitgaard A, et al. An Integrated Metabolomic and Genomic Mining Workflow To Uncover the Biosynthetic Potential of Bacteria. mSystems. 2016;1(3)doi: 10.1128/mSystems.00028-15.
Maansson, M., Vynne, N. G., Klitgaard, A., Nybo, J. L., Melchiorsen, J., Nguyen, D. D., Sanchez, L. M., Ziemert, N., Dorrestein, P. C., Andersen, M. R., & Gram, L. (2016). An Integrated Metabolomic and Genomic Mining Workflow To Uncover the Biosynthetic Potential of Bacteria. mSystems, 1(3), . https://doi.org/10.1128/mSystems.00028-15
Maansson, Maria, et al. "An Integrated Metabolomic and Genomic Mining Workflow To Uncover the Biosynthetic Potential of Bacteria." mSystems vol. 1,3 (2016). doi: https://doi.org/10.1128/mSystems.00028-15
Maansson M, Vynne NG, Klitgaard A, Nybo JL, Melchiorsen J, Nguyen DD, Sanchez LM, Ziemert N, Dorrestein PC, Andersen MR, Gram L. An Integrated Metabolomic and Genomic Mining Workflow To Uncover the Biosynthetic Potential of Bacteria. mSystems. 2016 May 03;1(3). doi: 10.1128/mSystems.00028-15. eCollection 2016. PMID: 27822535; PMCID: PMC5069768.
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Consumption of Fermented Foods Is Associated with Systematic Differences in the Gut Microbiome and Metabolome.

mSystems

Taylor BC, Lejzerowicz F, Poirel M, Shaffer JP, Jiang L, Aksenov A, Litwin N, Humphrey G, Martino C, Miller-Montgomery S, Dorrestein PC, Veiga P, Song SJ, McDonald D, Derrien M, Knight R.
PMID: 32184365
mSystems. 2020 Mar 17;5(2). doi: 10.1128/mSystems.00901-19.

Lifestyle factors, such as diet, strongly influence the structure, diversity, and composition of the microbiome. While we have witnessed over the last several years a resurgence of interest in fermented foods, no study has specifically explored the effects of...

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Taylor BC, Lejzerowicz F, Poirel M, et al. Consumption of Fermented Foods Is Associated with Systematic Differences in the Gut Microbiome and Metabolome. mSystems. 2020;5(2)doi: 10.1128/mSystems.00901-19.
Taylor, B. C., Lejzerowicz, F., Poirel, M., Shaffer, J. P., Jiang, L., Aksenov, A., Litwin, N., Humphrey, G., Martino, C., Miller-Montgomery, S., Dorrestein, P. C., Veiga, P., Song, S. J., McDonald, D., Derrien, M., & Knight, R. (2020). Consumption of Fermented Foods Is Associated with Systematic Differences in the Gut Microbiome and Metabolome. mSystems, 5(2), . https://doi.org/10.1128/mSystems.00901-19
Taylor, Bryn C, et al. "Consumption of Fermented Foods Is Associated with Systematic Differences in the Gut Microbiome and Metabolome." mSystems vol. 5,2 (2020). doi: https://doi.org/10.1128/mSystems.00901-19
Taylor BC, Lejzerowicz F, Poirel M, Shaffer JP, Jiang L, Aksenov A, Litwin N, Humphrey G, Martino C, Miller-Montgomery S, Dorrestein PC, Veiga P, Song SJ, McDonald D, Derrien M, Knight R. Consumption of Fermented Foods Is Associated with Systematic Differences in the Gut Microbiome and Metabolome. mSystems. 2020 Mar 17;5(2). doi: 10.1128/mSystems.00901-19. PMID: 32184365; PMCID: PMC7380580.
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Effective anti-Alzheimer Aβ therapy involves depletion of specific Aβ oligomer subtypes.

Neurology(R) neuroimmunology & neuroinflammation

Knight EM, Kim SH, Kottwitz JC, Hatami A, Albay R, Suzuki A, Lublin A, Alberini CM, Klein WL, Szabo P, Relkin NR, Ehrlich M, Glabe CG, Gandy S, Steele JW.
PMID: 27218118
Neurol Neuroimmunol Neuroinflamm. 2016 May 10;3(3):e237. doi: 10.1212/NXI.0000000000000237. eCollection 2016 Jun.

BACKGROUND: Recent studies have implicated specific assembly subtypes of β-amyloid (Aβ) peptide, specifically soluble oligomers (soAβ) as disease-relevant structures that may underlie memory loss in Alzheimer disease. Removing existing soluble and insoluble Aβ assemblies is thought to be essential...

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Knight EM, Kim SH, Kottwitz JC, et al. Effective anti-Alzheimer Aβ therapy involves depletion of specific Aβ oligomer subtypes. Neurol Neuroimmunol Neuroinflamm. 2016;3(3):e237doi: 10.1212/NXI.0000000000000237.
Knight, E. M., Kim, S. H., Kottwitz, J. C., Hatami, A., Albay, R., Suzuki, A., Lublin, A., Alberini, C. M., Klein, W. L., Szabo, P., Relkin, N. R., Ehrlich, M., Glabe, C. G., Gandy, S., & Steele, J. W. (2016). Effective anti-Alzheimer Aβ therapy involves depletion of specific Aβ oligomer subtypes. Neurology(R) neuroimmunology & neuroinflammation, 3(3), e237. https://doi.org/10.1212/NXI.0000000000000237
Knight, Elysse M, et al. "Effective anti-Alzheimer Aβ therapy involves depletion of specific Aβ oligomer subtypes." Neurology(R) neuroimmunology & neuroinflammation vol. 3,3 (2016): e237. doi: https://doi.org/10.1212/NXI.0000000000000237
Knight EM, Kim SH, Kottwitz JC, Hatami A, Albay R, Suzuki A, Lublin A, Alberini CM, Klein WL, Szabo P, Relkin NR, Ehrlich M, Glabe CG, Gandy S, Steele JW. Effective anti-Alzheimer Aβ therapy involves depletion of specific Aβ oligomer subtypes. Neurol Neuroimmunol Neuroinflamm. 2016 May 10;3(3):e237. doi: 10.1212/NXI.0000000000000237. eCollection 2016 Jun. PMID: 27218118; PMCID: PMC4864617.
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Pseudopodium-enriched atypical kinase 1 mediates angiogenesis by modulating GATA2-dependent VEGFR2 transcription.

Cell discovery

Wang H, Lapek J, Fujimura K, Strnadel J, Liu B, Gonzalez DJ, Zhang W, Watson F, Yu V, Liu C, Melo CM, Miller YI, Elliott KC, Cheresh DA, Klemke RL.
PMID: 29872538
Cell Discov. 2018 May 29;4:26. doi: 10.1038/s41421-018-0024-3. eCollection 2018.

PEAK1 is a newly described tyrosine kinase and scaffold protein that transmits integrin-mediated extracellular matrix (ECM) signals to facilitate cell movement and growth. While aberrant expression of PEAK1 has been linked to cancer progression, its normal physiological role in...

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Wang H, Lapek J, Fujimura K, et al. Pseudopodium-enriched atypical kinase 1 mediates angiogenesis by modulating GATA2-dependent VEGFR2 transcription. Cell Discov. 2018;4:26doi: 10.1038/s41421-018-0024-3.
Wang, H., Lapek, J., Fujimura, K., Strnadel, J., Liu, B., Gonzalez, D. J., Zhang, W., Watson, F., Yu, V., Liu, C., Melo, C. M., Miller, Y. I., Elliott, K. C., Cheresh, D. A., & Klemke, R. L. (2018). Pseudopodium-enriched atypical kinase 1 mediates angiogenesis by modulating GATA2-dependent VEGFR2 transcription. Cell discovery, 426. https://doi.org/10.1038/s41421-018-0024-3
Wang, Huawei, et al. "Pseudopodium-enriched atypical kinase 1 mediates angiogenesis by modulating GATA2-dependent VEGFR2 transcription." Cell discovery vol. 4 (2018): 26. doi: https://doi.org/10.1038/s41421-018-0024-3
Wang H, Lapek J, Fujimura K, Strnadel J, Liu B, Gonzalez DJ, Zhang W, Watson F, Yu V, Liu C, Melo CM, Miller YI, Elliott KC, Cheresh DA, Klemke RL. Pseudopodium-enriched atypical kinase 1 mediates angiogenesis by modulating GATA2-dependent VEGFR2 transcription. Cell Discov. 2018 May 29;4:26. doi: 10.1038/s41421-018-0024-3. eCollection 2018. PMID: 29872538; PMCID: PMC5972149.
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Feasibility of using alternative swabs and storage solutions for paired SARS-CoV-2 detection and microbiome analysis in the hospital environment.

Research square

Minich J, Ali F, Marotz C, Belda-Ferre P, Chiang L, Shaffer JP, Carpenter CS, McDonald D, Gilbert J, Allard SM, Allen EE, Knight R, Sweeney DA, Swafford AD.
PMID: 32839765
Res Sq. 2020 Aug 18; doi: 10.21203/rs.3.rs-56028/v1.

No abstract available.

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Minich J, Ali F, Marotz C, et al. Feasibility of using alternative swabs and storage solutions for paired SARS-CoV-2 detection and microbiome analysis in the hospital environment. Res Sq. 2020;doi: 10.21203/rs.3.rs-56028/v1.
Minich, J., Ali, F., Marotz, C., Belda-Ferre, P., Chiang, L., Shaffer, J. P., Carpenter, C. S., McDonald, D., Gilbert, J., Allard, S. M., Allen, E. E., Knight, R., Sweeney, D. A., & Swafford, A. D. (2020). Feasibility of using alternative swabs and storage solutions for paired SARS-CoV-2 detection and microbiome analysis in the hospital environment. Research square, . https://doi.org/10.21203/rs.3.rs-56028/v1
Minich, Jeremiah, et al. "Feasibility of using alternative swabs and storage solutions for paired SARS-CoV-2 detection and microbiome analysis in the hospital environment." Research square vol. (2020). doi: https://doi.org/10.21203/rs.3.rs-56028/v1
Minich J, Ali F, Marotz C, Belda-Ferre P, Chiang L, Shaffer JP, Carpenter CS, McDonald D, Gilbert J, Allard SM, Allen EE, Knight R, Sweeney DA, Swafford AD. Feasibility of using alternative swabs and storage solutions for paired SARS-CoV-2 detection and microbiome analysis in the hospital environment. Res Sq. 2020 Aug 18; doi: 10.21203/rs.3.rs-56028/v1. PMID: 32839765; PMCID: PMC7444291.
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Showing 1 to 12 of 31 entries