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The Intestinal Bacterial Microbiome and .

Current tropical medicine reports

Burgess SL, Petri WA.
PMID: 27525214
Curr Trop Med Rep. 2016;3:71-74. doi: 10.1007/s40475-016-0083-1. Epub 2016 Jun 30.

No abstract available.

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Burgess SL, Petri WA. The Intestinal Bacterial Microbiome and . Curr Trop Med Rep. 2016;3:71-74doi: 10.1007/s40475-016-0083-1.
Burgess, S. L., & Petri, W. A. (2016). The Intestinal Bacterial Microbiome and . Current tropical medicine reports, 371-74. https://doi.org/10.1007/s40475-016-0083-1
Burgess, Stacey L, and Petri, William A. "The Intestinal Bacterial Microbiome and ." Current tropical medicine reports vol. 3 (2016): 71-74. doi: https://doi.org/10.1007/s40475-016-0083-1
Burgess SL, Petri WA. The Intestinal Bacterial Microbiome and . Curr Trop Med Rep. 2016;3:71-74. doi: 10.1007/s40475-016-0083-1. Epub 2016 Jun 30. PMID: 27525214; PMCID: PMC4967426.
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Peripheral tissue homing receptor control of naïve, effector, and memory CD8 T cell localization in lymphoid and non-lymphoid tissues.

Frontiers in immunology

Brinkman CC, Peske JD, Engelhard VH.
PMID: 23966998
Front Immunol. 2013 Aug 19;4:241. doi: 10.3389/fimmu.2013.00241. eCollection 2013.

T cell activation induces homing receptors that bind ligands on peripheral tissue vasculature, programing movement to sites of infection and injury. There are three major types of CD8 effector T cells based on homing receptor expression, which arise in...

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Brinkman CC, Peske JD, Engelhard VH. Peripheral tissue homing receptor control of naïve, effector, and memory CD8 T cell localization in lymphoid and non-lymphoid tissues. Front Immunol. 2013;4:241doi: 10.3389/fimmu.2013.00241.
Brinkman, C. C., Peske, J. D., & Engelhard, V. H. (2013). Peripheral tissue homing receptor control of naïve, effector, and memory CD8 T cell localization in lymphoid and non-lymphoid tissues. Frontiers in immunology, 4241. https://doi.org/10.3389/fimmu.2013.00241
Brinkman, C Colin, et al. "Peripheral tissue homing receptor control of naïve, effector, and memory CD8 T cell localization in lymphoid and non-lymphoid tissues." Frontiers in immunology vol. 4 (2013): 241. doi: https://doi.org/10.3389/fimmu.2013.00241
Brinkman CC, Peske JD, Engelhard VH. Peripheral tissue homing receptor control of naïve, effector, and memory CD8 T cell localization in lymphoid and non-lymphoid tissues. Front Immunol. 2013 Aug 19;4:241. doi: 10.3389/fimmu.2013.00241. eCollection 2013. PMID: 23966998; PMCID: PMC3746678.
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Mitochondrial dysregulation and glycolytic insufficiency functionally impair CD8 T cells infiltrating human renal cell carcinoma.

JCI insight

Siska PJ, Beckermann KE, Mason FM, Andrejeva G, Greenplate AR, Sendor AB, Chiang YJ, Corona AL, Gemta LF, Vincent BG, Wang RC, Kim B, Hong J, Chen CL, Bullock TN, Irish JM, Rathmell WK, Rathmell JC.
PMID: 28614802
JCI Insight. 2017 Jun 15;2(12). doi: 10.1172/jci.insight.93411. eCollection 2017 Jun 15.

Cancer cells can inhibit effector T cells (Teff) through both immunomodulatory receptors and the impact of cancer metabolism on the tumor microenvironment. Indeed, Teff require high rates of glucose metabolism, and consumption of essential nutrients or generation of waste...

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Siska PJ, Beckermann KE, Mason FM, et al. Mitochondrial dysregulation and glycolytic insufficiency functionally impair CD8 T cells infiltrating human renal cell carcinoma. JCI Insight. 2017;2(12)doi: 10.1172/jci.insight.93411.
Siska, P. J., Beckermann, K. E., Mason, F. M., Andrejeva, G., Greenplate, A. R., Sendor, A. B., Chiang, Y. J., Corona, A. L., Gemta, L. F., Vincent, B. G., Wang, R. C., Kim, B., Hong, J., Chen, C. L., Bullock, T. N., Irish, J. M., Rathmell, W. K., & Rathmell, J. C. (2017). Mitochondrial dysregulation and glycolytic insufficiency functionally impair CD8 T cells infiltrating human renal cell carcinoma. JCI insight, 2(12), . https://doi.org/10.1172/jci.insight.93411
Siska, Peter J, et al. "Mitochondrial dysregulation and glycolytic insufficiency functionally impair CD8 T cells infiltrating human renal cell carcinoma." JCI insight vol. 2,12 (2017). doi: https://doi.org/10.1172/jci.insight.93411
Siska PJ, Beckermann KE, Mason FM, Andrejeva G, Greenplate AR, Sendor AB, Chiang YJ, Corona AL, Gemta LF, Vincent BG, Wang RC, Kim B, Hong J, Chen CL, Bullock TN, Irish JM, Rathmell WK, Rathmell JC. Mitochondrial dysregulation and glycolytic insufficiency functionally impair CD8 T cells infiltrating human renal cell carcinoma. JCI Insight. 2017 Jun 15;2(12). doi: 10.1172/jci.insight.93411. eCollection 2017 Jun 15. PMID: 28614802; PMCID: PMC5470888.
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Acute Lymph Node Slices Are a Functional Model System to Study Immunity Ex Vivo.

ACS pharmacology & translational science

Belanger MC, Ball AG, Catterton MA, Kinman AWL, Anbaei P, Groff BD, Melchor SJ, Lukens JR, Ross AE, Pompano RR.
PMID: 33615167
ACS Pharmacol Transl Sci. 2021 Jan 08;4(1):128-142. doi: 10.1021/acsptsci.0c00143. eCollection 2021 Feb 12.

The lymph node is a highly organized and dynamic structure that is critical for facilitating the intercellular interactions that constitute adaptive immunity. Most ex vivo studies of the lymph node begin by reducing it to a cell suspension, thus...

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Belanger MC, Ball AG, Catterton MA, et al. Acute Lymph Node Slices Are a Functional Model System to Study Immunity Ex Vivo. ACS Pharmacol Transl Sci. 2021;4(1):128-142doi: 10.1021/acsptsci.0c00143.
Belanger, M. C., Ball, A. G., Catterton, M. A., Kinman, A. W. L., Anbaei, P., Groff, B. D., Melchor, S. J., Lukens, J. R., Ross, A. E., & Pompano, R. R. (2021). Acute Lymph Node Slices Are a Functional Model System to Study Immunity Ex Vivo. ACS pharmacology & translational science, 4(1), 128-142. https://doi.org/10.1021/acsptsci.0c00143
Belanger, Maura C, et al. "Acute Lymph Node Slices Are a Functional Model System to Study Immunity Ex Vivo." ACS pharmacology & translational science vol. 4,1 (2021): 128-142. doi: https://doi.org/10.1021/acsptsci.0c00143
Belanger MC, Ball AG, Catterton MA, Kinman AWL, Anbaei P, Groff BD, Melchor SJ, Lukens JR, Ross AE, Pompano RR. Acute Lymph Node Slices Are a Functional Model System to Study Immunity Ex Vivo. ACS Pharmacol Transl Sci. 2021 Jan 08;4(1):128-142. doi: 10.1021/acsptsci.0c00143. eCollection 2021 Feb 12. PMID: 33615167; PMCID: PMC7887751.
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Ly49R activation receptor drives self-MHC-educated NK cell immunity against cytomegalovirus infection.

Proceedings of the National Academy of Sciences of the United States of America

Gamache A, Cronk JM, Nash WT, Puchalski P, Gillespie A, Wei H, Gray L, Hammarskjold ML, Xu W, Brown MG.
PMID: 31843910
Proc Natl Acad Sci U S A. 2019 Dec 16; doi: 10.1073/pnas.1913064117. Epub 2019 Dec 16.

Natural killer (NK) cells mediate vital control of cancer and viral infection. They rely on MHC class I (MHC I)-specific self-receptors to identify and lyse diseased cells without harming self-MHC I-bearing host cells. NK cells bearing inhibitory self-receptors for...

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Gamache A, Cronk JM, Nash WT, et al. Ly49R activation receptor drives self-MHC-educated NK cell immunity against cytomegalovirus infection. Proc Natl Acad Sci U S A. 2019;doi: 10.1073/pnas.1913064117.
Gamache, A., Cronk, J. M., Nash, W. T., Puchalski, P., Gillespie, A., Wei, H., Gray, L., Hammarskjold, M. L., Xu, W., & Brown, M. G. (2019). Ly49R activation receptor drives self-MHC-educated NK cell immunity against cytomegalovirus infection. Proceedings of the National Academy of Sciences of the United States of America, . https://doi.org/10.1073/pnas.1913064117
Gamache, Awndre, et al. "Ly49R activation receptor drives self-MHC-educated NK cell immunity against cytomegalovirus infection." Proceedings of the National Academy of Sciences of the United States of America vol. (2019). doi: https://doi.org/10.1073/pnas.1913064117
Gamache A, Cronk JM, Nash WT, Puchalski P, Gillespie A, Wei H, Gray L, Hammarskjold ML, Xu W, Brown MG. Ly49R activation receptor drives self-MHC-educated NK cell immunity against cytomegalovirus infection. Proc Natl Acad Sci U S A. 2019 Dec 16; doi: 10.1073/pnas.1913064117. Epub 2019 Dec 16. PMID: 31843910; PMCID: PMC6936569.
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Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy.

bioRxiv : the preprint server for biology

Barone SM, Paul AGA, Muehling LM, Lannigan JA, Kwok WW, Turner RB, Woodfolk JA, Irish JM.
PMID: 32766581
bioRxiv. 2020 Nov 04; doi: 10.1101/2020.07.31.190454.

For an emerging disease like COVID-19, systems immunology tools may quickly identify and quantitatively characterize cells associated with disease progression or clinical response. With repeated sampling, immune monitoring creates a real-time portrait of the cells reacting to a novel...

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Barone SM, Paul AGA, Muehling LM, et al. Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy. bioRxiv. 2020;doi: 10.1101/2020.07.31.190454.
Barone, S. M., Paul, A. G. A., Muehling, L. M., Lannigan, J. A., Kwok, W. W., Turner, R. B., Woodfolk, J. A., & Irish, J. M. (2020). Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy. bioRxiv : the preprint server for biology, . https://doi.org/10.1101/2020.07.31.190454
Barone, Sierra M, et al. "Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy." bioRxiv : the preprint server for biology vol. (2020). doi: https://doi.org/10.1101/2020.07.31.190454
Barone SM, Paul AGA, Muehling LM, Lannigan JA, Kwok WW, Turner RB, Woodfolk JA, Irish JM. Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy. bioRxiv. 2020 Nov 04; doi: 10.1101/2020.07.31.190454. PMID: 32766581; PMCID: PMC7402038.
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Regulation of T-cell Tolerance by Lymphatic Endothelial Cells.

Journal of clinical & cellular immunology

Rouhani SJ, Eccles JD, Tewalt EF, Engelhard VH.
PMID: 25580369
J Clin Cell Immunol. 2014;5. doi: 10.4172/2155-9899.1000242.

Lymphatic endothelial cells are most often thought of as structural cells that form the lymphatic vasculature, which transports fluid out of peripheral tissues and transports antigens and antigen presenting cells to lymph nodes. Recently, it has been shown that...

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Rouhani SJ, Eccles JD, Tewalt EF, et al. Regulation of T-cell Tolerance by Lymphatic Endothelial Cells. J Clin Cell Immunol. 2014;5doi: 10.4172/2155-9899.1000242.
Rouhani, S. J., Eccles, J. D., Tewalt, E. F., & Engelhard, V. H. (2014). Regulation of T-cell Tolerance by Lymphatic Endothelial Cells. Journal of clinical & cellular immunology, 5. https://doi.org/10.4172/2155-9899.1000242
Rouhani, Sherin J, et al. "Regulation of T-cell Tolerance by Lymphatic Endothelial Cells." Journal of clinical & cellular immunology vol. 5 (2014). doi: https://doi.org/10.4172/2155-9899.1000242
Rouhani SJ, Eccles JD, Tewalt EF, Engelhard VH. Regulation of T-cell Tolerance by Lymphatic Endothelial Cells. J Clin Cell Immunol. 2014;5. doi: 10.4172/2155-9899.1000242. PMID: 25580369; PMCID: PMC4286360.
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Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy.

bioRxiv : the preprint server for biology

Barone SM, Paul AGA, Muehling LM, Lannigan JA, Kwok WW, Turner RB, Woodfolk JA, Irish JM.
PMID: 32766581
bioRxiv. 2020 Nov 04; doi: 10.1101/2020.07.31.190454.

For an emerging disease like COVID-19, systems immunology tools may quickly identify and quantitatively characterize cells associated with disease progression or clinical response. With repeated sampling, immune monitoring creates a real-time portrait of the cells reacting to a novel...

Cite
Barone SM, Paul AGA, Muehling LM, et al. Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy. bioRxiv. 2020;doi: 10.1101/2020.07.31.190454.
Barone, S. M., Paul, A. G. A., Muehling, L. M., Lannigan, J. A., Kwok, W. W., Turner, R. B., Woodfolk, J. A., & Irish, J. M. (2020). Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy. bioRxiv : the preprint server for biology, . https://doi.org/10.1101/2020.07.31.190454
Barone, Sierra M, et al. "Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy." bioRxiv : the preprint server for biology vol. (2020). doi: https://doi.org/10.1101/2020.07.31.190454
Barone SM, Paul AGA, Muehling LM, Lannigan JA, Kwok WW, Turner RB, Woodfolk JA, Irish JM. Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy. bioRxiv. 2020 Nov 04; doi: 10.1101/2020.07.31.190454. PMID: 32766581; PMCID: PMC7402038.
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Efferocytosis by Paneth cells within the intestine.

Current biology : CB

Shankman LS, Fleury ST, Evans WB, Penberthy KK, Arandjelovic S, Blumberg RS, Agaisse H, Ravichandran KS.
PMID: 33852873
Curr Biol. 2021 Jun 07;31(11):2469-2476.e5. doi: 10.1016/j.cub.2021.03.055. Epub 2021 Apr 13.

Apoptotic cells are quickly and efficiently engulfed and removed via the process of efferocytosis by either professional phagocytes, such as macrophages, or non-professional phagocytes, including epithelial cells.

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Shankman LS, Fleury ST, Evans WB, et al. Efferocytosis by Paneth cells within the intestine. Curr Biol. 2021;31(11):2469-2476.e5doi: 10.1016/j.cub.2021.03.055.
Shankman, L. S., Fleury, S. T., Evans, W. B., Penberthy, K. K., Arandjelovic, S., Blumberg, R. S., Agaisse, H., & Ravichandran, K. S. (2021). Efferocytosis by Paneth cells within the intestine. Current biology : CB, 31(11), 2469-2476.e5. https://doi.org/10.1016/j.cub.2021.03.055
Shankman, Laura S, et al. "Efferocytosis by Paneth cells within the intestine." Current biology : CB vol. 31,11 (2021): 2469-2476.e5. doi: https://doi.org/10.1016/j.cub.2021.03.055
Shankman LS, Fleury ST, Evans WB, Penberthy KK, Arandjelovic S, Blumberg RS, Agaisse H, Ravichandran KS. Efferocytosis by Paneth cells within the intestine. Curr Biol. 2021 Jun 07;31(11):2469-2476.e5. doi: 10.1016/j.cub.2021.03.055. Epub 2021 Apr 13. PMID: 33852873; PMCID: PMC8281366.
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Breaking Free of Control: How Conventional T Cells Overcome Regulatory T Cell Suppression.

Frontiers in immunology

Mercadante ER, Lorenz UM.
PMID: 27242798
Front Immunol. 2016 May 18;7:193. doi: 10.3389/fimmu.2016.00193. eCollection 2016.

Conventional T (Tcon) cells are crucial in shaping the immune response, whether it is protection against a pathogen, a cytotoxic attack on tumor cells, or an unwanted response to self-antigens in the context of autoimmunity. In each of these...

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Mercadante ER, Lorenz UM. Breaking Free of Control: How Conventional T Cells Overcome Regulatory T Cell Suppression. Front Immunol. 2016;7:193doi: 10.3389/fimmu.2016.00193.
Mercadante, E. R., & Lorenz, U. M. (2016). Breaking Free of Control: How Conventional T Cells Overcome Regulatory T Cell Suppression. Frontiers in immunology, 7193. https://doi.org/10.3389/fimmu.2016.00193
Mercadante, Emily R, and Lorenz, Ulrike M. "Breaking Free of Control: How Conventional T Cells Overcome Regulatory T Cell Suppression." Frontiers in immunology vol. 7 (2016): 193. doi: https://doi.org/10.3389/fimmu.2016.00193
Mercadante ER, Lorenz UM. Breaking Free of Control: How Conventional T Cells Overcome Regulatory T Cell Suppression. Front Immunol. 2016 May 18;7:193. doi: 10.3389/fimmu.2016.00193. eCollection 2016. PMID: 27242798; PMCID: PMC4870238.
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The Immune Landscape in Nonalcoholic Steatohepatitis.

Immune network

Narayanan S, Surette FA, Hahn YS.
PMID: 27340383
Immune Netw. 2016 Jun;16(3):147-58. doi: 10.4110/in.2016.16.3.147. Epub 2016 Jun 17.

The liver lies at the intersection of multiple metabolic pathways and consequently plays a central role in lipid metabolism. Pathological disturbances in hepatic lipid metabolism are characteristic of chronic metabolic diseases, such as obesity-mediated insulin resistance, which can result...

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Narayanan S, Surette FA, Hahn YS. The Immune Landscape in Nonalcoholic Steatohepatitis. Immune Netw. 2016;16(3):147-58doi: 10.4110/in.2016.16.3.147.
Narayanan, S., Surette, F. A., & Hahn, Y. S. (2016). The Immune Landscape in Nonalcoholic Steatohepatitis. Immune network, 16(3), 147-58. https://doi.org/10.4110/in.2016.16.3.147
Narayanan, Sowmya, et al. "The Immune Landscape in Nonalcoholic Steatohepatitis." Immune network vol. 16,3 (2016): 147-58. doi: https://doi.org/10.4110/in.2016.16.3.147
Narayanan S, Surette FA, Hahn YS. The Immune Landscape in Nonalcoholic Steatohepatitis. Immune Netw. 2016 Jun;16(3):147-58. doi: 10.4110/in.2016.16.3.147. Epub 2016 Jun 17. PMID: 27340383; PMCID: PMC4917398.
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The antigenic identity of human class I MHC phosphopeptides is critically dependent upon phosphorylation status.

Oncotarget

Mohammed F, Stones DH, Zarling AL, Willcox CR, Shabanowitz J, Cummings KL, Hunt DF, Cobbold M, Engelhard VH, Willcox BE.
PMID: 28903331
Oncotarget. 2017 Apr 08;8(33):54160-54172. doi: 10.18632/oncotarget.16952. eCollection 2017 Aug 15.

Dysregulated post-translational modification provides a source of altered self-antigens that can stimulate immune responses in autoimmunity, inflammation, and cancer. In recent years, phosphorylated peptides have emerged as a group of tumour-associated antigens presented by MHC molecules and recognised by...

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Mohammed F, Stones DH, Zarling AL, et al. The antigenic identity of human class I MHC phosphopeptides is critically dependent upon phosphorylation status. Oncotarget. 2017;8(33):54160-54172doi: 10.18632/oncotarget.16952.
Mohammed, F., Stones, D. H., Zarling, A. L., Willcox, C. R., Shabanowitz, J., Cummings, K. L., Hunt, D. F., Cobbold, M., Engelhard, V. H., & Willcox, B. E. (2017). The antigenic identity of human class I MHC phosphopeptides is critically dependent upon phosphorylation status. Oncotarget, 8(33), 54160-54172. https://doi.org/10.18632/oncotarget.16952
Mohammed, Fiyaz, et al. "The antigenic identity of human class I MHC phosphopeptides is critically dependent upon phosphorylation status." Oncotarget vol. 8,33 (2017): 54160-54172. doi: https://doi.org/10.18632/oncotarget.16952
Mohammed F, Stones DH, Zarling AL, Willcox CR, Shabanowitz J, Cummings KL, Hunt DF, Cobbold M, Engelhard VH, Willcox BE. The antigenic identity of human class I MHC phosphopeptides is critically dependent upon phosphorylation status. Oncotarget. 2017 Apr 08;8(33):54160-54172. doi: 10.18632/oncotarget.16952. eCollection 2017 Aug 15. PMID: 28903331; PMCID: PMC5589570.
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Showing 1 to 12 of 28 entries