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Items: 38

1.

Exosomes derived from B16F0 melanoma cells alter the transcriptome of cytotoxic T cells that impacts mitochondrial respiration.

Bland CL, Byrne-Hoffman CN, Fernandez A, Rellick SL, Deng W, Klinke DJ 2nd.

FEBS J. 2018 Mar;285(6):1033-1050. doi: 10.1111/febs.14396. Epub 2018 Feb 24.

PMID:
29399967
2.

Quantifying spontaneous metastasis in a syngeneic mouse melanoma model using real time PCR.

Deng W, McLaughlin SL, Klinke DJ.

Analyst. 2017 Aug 7;142(16):2945-2953. doi: 10.1039/c7an00623c.

PMID:
28725894
3.

Simulation Study on Effects of Order and Step Size of Runge-Kutta Methods that Solve Contagious Disease and Tumor Models.

Wang Z, Wang Q, Klinke DJ 2nd.

J Comput Sci Syst Biol. 2016 Sep;9(5):163-172. doi: 10.4172/jcsb.1000234. Epub 2016 Sep 30.

4.

Inferring the Impact of Regulatory Mechanisms that Underpin CD8+ T Cell Control of B16 Tumor Growth In vivo Using Mechanistic Models and Simulation.

Klinke DJ 2nd, Wang Q.

Front Pharmacol. 2017 Jan 4;7:515. doi: 10.3389/fphar.2016.00515. eCollection 2016.

5.

Melanoma exosomes deliver a complex biological payload that upregulates PTPN11 to suppress T lymphocyte function.

Wu Y, Deng W, McGinley EC, Klinke DJ 2nd.

Pigment Cell Melanoma Res. 2017 Mar;30(2):203-218. doi: 10.1111/pcmr.12564. Epub 2017 Mar 7.

6.

Eavesdropping on altered cell-to-cell signaling in cancer by secretome profiling.

Klinke DJ 2nd.

Mol Cell Oncol. 2015 Apr 14;3(1):e1029061. doi: 10.1080/23723556.2015.1029061. eCollection 2016 Jan.

7.

Identifying causal networks linking cancer processes and anti-tumor immunity using Bayesian network inference and metagene constructs.

Kaiser JL, Bland CL, Klinke DJ 2nd.

Biotechnol Prog. 2016 Mar;32(2):470-9. doi: 10.1002/btpr.2230. Epub 2016 Feb 21.

8.

Exosomes: improved methods to characterize their morphology, RNA content, and surface protein biomarkers.

Wu Y, Deng W, Klinke DJ 2nd.

Analyst. 2015 Oct 7;140(19):6631-42. doi: 10.1039/c5an00688k.

9.
10.

Interlocked positive and negative feedback network motifs regulate β-catenin activity in the adherens junction pathway.

Klinke DJ 2nd, Horvath N, Cuppett V, Wu Y, Deng W, Kanj R.

Mol Biol Cell. 2015 Nov 5;26(22):4135-48. doi: 10.1091/mbc.E15-02-0083. Epub 2015 Jul 29.

11.

Enhancing the discovery and development of immunotherapies for cancer using quantitative and systems pharmacology: Interleukin-12 as a case study.

Klinke DJ 2nd.

J Immunother Cancer. 2015 Jun 16;3:27. doi: 10.1186/s40425-015-0069-x. eCollection 2015. Review.

12.

CD8(+) T cell response to adenovirus vaccination and subsequent suppression of tumor growth: modeling, simulation and analysis.

Wang Q, Klinke DJ 2nd, Wang Z.

BMC Syst Biol. 2015 Jun 6;9:27. doi: 10.1186/s12918-015-0168-9.

13.

In silico model-based inference: a contemporary approach for hypothesis testing in network biology.

Klinke DJ 2nd.

Biotechnol Prog. 2014 Nov-Dec;30(6):1247-61. doi: 10.1002/btpr.1982. Epub 2014 Aug 26.

14.

Inferring alterations in cell-to-cell communication in HER2+ breast cancer using secretome profiling of three cell models.

Klinke DJ 2nd, Kulkarni YM, Wu Y, Byrne-Hoffman C.

Biotechnol Bioeng. 2014 Sep;111(9):1853-63. doi: 10.1002/bit.25238. Epub 2014 Apr 18.

15.
16.

Is immune checkpoint modulation a potential therapeutic option in triple negative breast cancer?

Klinke DJ 2nd.

Breast Cancer Res. 2014 Nov 7;16(6):457. doi: 10.1186/s13058-014-0457-z. No abstract available.

17.
18.

An evolutionary perspective on anti-tumor immunity.

Klinke DJ 2nd.

Front Oncol. 2013 Jan 10;2:202. doi: 10.3389/fonc.2012.00202. eCollection 2012.

19.

Understanding immunology via engineering design: the role of mathematical prototyping.

Klinke DJ 2nd, Wang Q.

Comput Math Methods Med. 2012;2012:676015. doi: 10.1155/2012/676015. Epub 2012 Sep 3. Review.

20.

A quantitative systems approach to identify paracrine mechanisms that locally suppress immune response to Interleukin-12 in the B16 melanoma model.

Kulkarni YM, Chambers E, McGray AJ, Ware JS, Bramson JL, Klinke DJ 2nd.

Integr Biol (Camb). 2012 Aug;4(8):925-36. doi: 10.1039/c2ib20053h. Epub 2012 Jul 9.

21.

Quantifying crosstalk among interferon-γ, interleukin-12, and tumor necrosis factor signaling pathways within a TH1 cell model.

Klinke DJ 2nd, Cheng N, Chambers E.

Sci Signal. 2012 Apr 17;5(220):ra32. doi: 10.1126/scisignal.2002657.

22.
23.

Age-corrected beta cell mass following onset of type 1 diabetes mellitus correlates with plasma C-peptide in humans.

Klinke DJ 2nd.

PLoS One. 2011;6(11):e26873. doi: 10.1371/journal.pone.0026873. Epub 2011 Nov 2.

24.

Timescale analysis of rule-based biochemical reaction networks.

Klinke DJ 2nd, Finley SD.

Biotechnol Prog. 2012 Jan-Feb;28(1):33-44. doi: 10.1002/btpr.704. Epub 2011 Sep 26.

25.

A multiscale systems perspective on cancer, immunotherapy, and Interleukin-12.

Klinke DJ 2nd.

Mol Cancer. 2010 Sep 15;9:242. doi: 10.1186/1476-4598-9-242. Review.

26.

Inferring predominant pathways in cellular models of breast cancer using limited sample proteomic profiling.

Kulkarni YM, Suarez V, Klinke DJ 2nd.

BMC Cancer. 2010 Jun 15;10:291. doi: 10.1186/1471-2407-10-291.

27.

Inferring relevant control mechanisms for interleukin-12 signaling in naïve CD4+ T cells.

Finley SD, Gupta D, Cheng N, Klinke DJ 2nd.

Immunol Cell Biol. 2011 Jan;89(1):100-10. doi: 10.1038/icb.2010.69. Epub 2010 May 18.

28.

Signal transduction networks in cancer: quantitative parameters influence network topology.

Klinke DJ 2nd.

Cancer Res. 2010 Mar 1;70(5):1773-82. doi: 10.1158/0008-5472.CAN-09-3234. Epub 2010 Feb 23.

29.

An empirical Bayesian approach for model-based inference of cellular signaling networks.

Klinke DJ 2nd.

BMC Bioinformatics. 2009 Nov 9;10:371. doi: 10.1186/1471-2105-10-371.

30.

Identification and classification of bcl genes and proteins of Bacillus cereus group organisms and their application in Bacillus anthracis detection and fingerprinting.

Leski TA, Caswell CC, Pawlowski M, Klinke DJ, Bujnicki JM, Hart SJ, Lukomski S.

Appl Environ Microbiol. 2009 Nov;75(22):7163-72. doi: 10.1128/AEM.01069-09. Epub 2009 Sep 18.

31.

Scalable analysis of flow cytometry data using R/Bioconductor.

Klinke DJ 2nd, Brundage KM.

Cytometry A. 2009 Aug;75(8):699-706. doi: 10.1002/cyto.a.20746.

32.

Validating a dimensionless number for glucose homeostasis in humans.

Klinke DJ 2nd.

Ann Biomed Eng. 2009 Sep;37(9):1886-96. doi: 10.1007/s10439-009-9733-y. Epub 2009 Jun 10.

33.

Modulating temporal control of NF-kappaB activation: implications for therapeutic and assay selection.

Klinke DJ 2nd, Ustyugova IV, Brundage KM, Barnett JB.

Biophys J. 2008 Jun;94(11):4249-59. doi: 10.1529/biophysj.107.120451. Epub 2008 Feb 15.

34.

Extent of beta cell destruction is important but insufficient to predict the onset of type 1 diabetes mellitus.

Klinke DJ 2nd.

PLoS One. 2008 Jan 2;3(1):e1374. doi: 10.1371/journal.pone.0001374.

35.
36.
37.

An age-structured model of dendritic cell trafficking in the lung.

Klinke DJ 2nd.

Am J Physiol Lung Cell Mol Physiol. 2006 Nov;291(5):L1038-49.

38.

The ratio of P40 monomer to dimer is an important determinant of IL-12 bioactivity.

Klinke DJ 2nd.

J Theor Biol. 2006 May 21;240(2):323-35. Epub 2006 Jan 30.

PMID:
16448670

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