scholarly journals Biacore systems: Leading the revolution in label-free interaction analysis

2008 ◽  
Vol 3 (3) ◽  
pp. FD2
Author(s):  
Stefan Löfås
Keyword(s):  
Interaction Analysis ◽  
Label Free ◽  
Free Interaction ◽  
The Revolution

scholarly journals Label-Free Interaction Analysis with Microscale Thermophoresis

2012 ◽  
Vol 102 (3) ◽  
pp. 463a
Author(s):  
Philipp Baaske ◽  
Stefan Duhr ◽  
Christoph J. Wienken ◽  
Dieter Braun
Keyword(s):  
Interaction Analysis ◽  
Label Free ◽  
Microscale Thermophoresis ◽  
Free Interaction

SPR Imaging for High Throughput, Label-Free Interaction Analysis

2009 ◽  
Vol 12 (8) ◽  
pp. 741-751 ◽  
Author(s):  
Christopher Lausted ◽  
Zhiyuan Hu ◽  
Leroy Hood ◽  
Charles Campbell
Keyword(s):  
High Throughput ◽  
Interaction Analysis ◽  
Label Free ◽  
Spr Imaging ◽  
Free Interaction

Quantitative proteomics analysis of FFPE tumor samples reveals the influences of novel targeting nanobubbles conjugated with NET-1 siRNA on tetraspanin protein involved in HCC

2020 ◽  
Author(s):  
Bolin Wu ◽  
Haitao Shang ◽  
Xitian Liang ◽  
Huajing Yang Huajing Yang ◽  
Hui Jing ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Interaction Analysis ◽  
Enrichment Analysis ◽  
Differentially Expressed ◽  
Pathway Enrichment Analysis ◽  
Differentially Expressed Proteins ◽  
Label Free ◽  
Protein Protein Interaction ◽  
Study Results ◽  
Ffpe Tumor

Abstract Background: Hepatocellular carcinoma (HCC) poses a severe threat to human health. The NET-1 protein has been proved to be strongly associated with HCC proliferation and metastasis in our previous study. Methods: Here, we developed a label-free proteome mass spectrometry workflow to analyze formalin-fixed and paraffin-embedded HCC xenograft samples collected in our previous study. Results: The result showed that 78 proteins were differentially expressed after NET-1 protein inhibited. Among them, the expression of 61 proteins up-regulated and the expression of 17 proteins were significantly down-regulated. Of the differentially expressed proteins, the vast majority of Gene Ontology enrichment terms belong to the biological process. The KEGG pathway enrichment analysis showed that the 78 differentially expressed proteins significantly enriched in 45 pathways. We concluded that the function of the NET-1 gene is not only to regulate HCC but also to participate in a variety of biochemical metabolic pathways in the human body. Furthermore, the protein-protein interaction analysis indicated that the interactions of differentially expressed proteins are incredibly sophisticated. All the protein-protein interactions happened after the NET-1 gene has been silenced. Conclusions: Finally, our study also provides a useful proposal for targeted therapy based on tetraspanin proteins to treat HCC, and further mechanism investigations are needed to reveal a more detailed mechanism of action for NET-1 protein regulation of HCC.

scholarly journals Glycoproteomic Analysis Reveals Aberrant Expression of Complement C9 and Fibronectin in the Plasma of Patients with Colorectal Cancer

Proteomes ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 26
Author(s):  
Juthamard Chantaraamporn ◽  
Voraratt Champattanachai ◽  
Amnart Khongmanee ◽  
Chris Verathamjamras ◽  
Naiyarat Prasongsook ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Interaction Analysis ◽  
Study Cohort ◽  
Healthy Controls ◽  
Label Free ◽  
Aberrant Expression ◽  
Protein Protein Interaction ◽  
Acetylneuraminic Acid ◽  
Novel Biomarkers ◽  
Complement C9

Colorectal cancer (CRC) is a major cause of cancer mortality. Currently used CRC biomarkers provide insufficient sensitivity and specificity; therefore, novel biomarkers are needed to improve the CRC detection. Label-free quantitative proteomics were used to identify and compare glycoproteins, enriched by wheat germ agglutinin, from plasma of CRC patients and age-matched healthy controls. Among 189 identified glycoproteins, the levels of 7 and 15 glycoproteins were significantly altered in the non-metastatic and metastatic CRC groups, respectively. Protein-protein interaction analysis revealed that they were predominantly involved in immune responses, complement pathways, wound healing and coagulation. Of these, the levels of complement C9 (C9) was increased and fibronectin (FN1) was decreased in both CRC states in comparison to those of the healthy controls. Moreover, their levels detected by immunoblotting were validated in another independent cohort and the results were consistent with in the study cohort. Combination of CEA, a commercial CRC biomarker, with C9 and FN1 showed better diagnostic performance. Interestingly, predominant glycoforms associated with acetylneuraminic acid were obviously detected in alpha-2 macroglobulin, haptoglobin, alpha-1-acid glycoprotein 1, and complement C4-A of CRC patient groups. This glycoproteomic approach provides invaluable information of plasma proteome profiles of CRC patients and identification of CRC biomarker candidates.

scholarly journals Review of Transducer Principles for Label-Free Biomolecular Interaction Analysis

Biosensors ◽  
2011 ◽  
Vol 1 (3) ◽  
pp. 70-92 ◽  
Author(s):  
Martin Nirschl ◽  
Florian Reuter ◽  
Janos Vörös
Keyword(s):  
Interaction Analysis ◽  
Label Free ◽  
Biomolecular Interaction ◽  
Biomolecular Interaction Analysis
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