Please login first
Luye Mu  - - - 
Top co-authors See all
Mark A. Reed

86 shared publications

Department of Electrical Engineering, Yale University, P O Box 2157, Yale Station, New Haven, CT 06520, USA, New Haven, UNITED STATES

Rong Fan

65 shared publications

Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA

Minsuk Kwak

7 shared publications

Yale University

Ilia A. Droujinine

4 shared publications

Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, United States

Kara Brower

3 shared publications

Department of Biomedical Engineering, Yale University New Haven, CT, USA

3
Publications
0
Reads
0
Downloads
3
Citations
Publication Record
Distribution of Articles published per year 

Total number of journals
published in
 
2
 
Publications
Article 0 Reads 0 Citations Nanoelectronic Platform for Ultrasensitive Detection of Protein Biomarkers in Serum using DNA Amplification Luye Mu, Ilia A. Droujinine, Jieun Lee, Mathias Wipf, Pascha... Published: 17 October 2017
Analytical Chemistry, doi: 10.1021/acs.analchem.7b02036
DOI See at publisher website PubMed View at PubMed
Article 1 Read 0 Citations Erratum: Single-Cell Protein Secretomic Signatures as Potential Correlates to Tumor Cell Lineage Evolution and Cell–Cell... Minsuk Kwak, Luye Mu, Yao Lu, Jonathan J. Chen, Yu Wu, Kara ... Published: 08 April 2013
Frontiers in Oncology, doi: 10.3389/fonc.2013.00078
DOI See at publisher website PubMed View at PubMed
Article 2 Reads 3 Citations Single-cell protein secretomic signatures as potential correlates to tumor cell lineage evolution and cell–cell interact... Minsuk Kwak, Luye Mu, Yao Lu, Jonathan J. Chen, Kara Brower,... Published: 06 February 2013
Frontiers in Oncology, doi: 10.3389/fonc.2013.00010
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
Secreted proteins including cytokines, chemokines, and growth factors represent important functional regulators mediating a range of cellular behavior and cell–cell paracrine/autocrine signaling, e.g., in the immunological system (Rothenberg, 2007), tumor microenvironment (Hanahan and Weinberg, 2011), or stem cell niche (Gnecchi etal., 2008). Detection of these proteins is of great value not only in basic cell biology but also for diagnosis and therapeutic monitoring of human diseases such as cancer. However, due to co-production of multiple effector proteins from a single cell, referred to as polyfunctionality, it is biologically informative to measure a panel of secreted proteins, or secretomic signature, at the level of single cells. Recent evidence further indicates that a genetically identical cell population can give rise to diverse phenotypic differences (Niepel etal., 2009). Non-genetic heterogeneity is also emerging as a potential barrier to accurate monitoring of cellular immunity and effective pharmacological therapies (Cohen etal., 2008; Gascoigne and Taylor, 2008), but can hardly assessed using conventional approaches that do not examine cellular phenotype at the functional level. It is known that cytokines, for example, in the immune system define the effector functions and lineage differentiation of immune cells. In this article, we hypothesize that protein secretion profile may represent a universal measure to identify the definitive correlate in the larger context of cellular functions to dissect cellular heterogeneity and evolutionary lineage relationship in human cancer.
Top