Abstract P2-03-03: Profiling protein-protein interactions at single-molecule level as a novel biomarker-driven screening method for the detection of tumor recurrence in breast cancer patients

2020 ◽  
Author(s):  
Hong Won Lee ◽  
Hee Jun Choi ◽  
Hyunwoo Kim ◽  
Seul Lee ◽  
Sangmin Kim ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Single Molecule ◽  
Protein Interactions ◽  
Tumor Recurrence ◽  
Screening Method ◽  
Breast Cancer Patients ◽  
Protein Protein Interactions ◽  
Single Molecule Level

Transcriptomic analysis of breast cancer patients sensitive and resistant to chemotherapy: Looking for overall survival and drug resistance biomarkers 

2020 ◽  
Author(s):  
Carlos Barrón-Gallardo ◽  
Mariel García-Chagollán ◽  
Andrés Morán-Mendoza ◽  
Raúl Delgadillo-Cristerna ◽  
María Martínez-Silva ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Protein Interactions ◽  
Molecular Profile ◽  
Chemotherapy Response ◽  
Breast Cancer Patients ◽  
Protein Protein Interactions ◽  
Receptor Interactions

Abstract Neoadjuvant chemotherapy is one important therapeutic strategy for breast cancer with the drawback of resistance development. Chemotherapy has adverse effects that combined with resistance could contribute to lower overall survival. This work aimed to evaluate the molecular profile of patients who received neoadjuvant chemotherapy to discover differentially expressed genes (DEGs) that could be used as biomarkers of chemotherapy response and overall survival. Breast cancer patients who received neoadjuvant chemotherapy were enrolled in this study and according to their pathological response were assigned as sensitive or resistant. To evaluate DEGs, GO, KEGG, and protein-protein interactions, RNAseq information from all patients was obtained by next-generation sequencing. A total of 1985 DEGs were found and KEGG analysis indicated a great number of DEGs in metabolic pathways, pathways in cancer, cytokine-cytokine receptor interactions, and neuroactive ligand-receptor interactions. A selection of 73 DEGs was used further for an analysis of overall survival using the METABRIC study. Seven of those DEGs correlated with overall survival, of them the sub-expression of C1QTNF3, CTF1, OLFML3, PLA2R1, PODN and the over expression of TUBB and TCP1 were found in resistant patients and related to patients with lower overall survival.

scholarly journals Pattern of tumor recurrence in initially nonmetastatic breast cancer patients

Cancer ◽  
2008 ◽  
Vol 113 (4) ◽  
pp. 677-682 ◽  
Author(s):  
Naoko Sanuki-Fujimoto ◽  
Atsuya Takeda ◽  
Atsushi Amemiya ◽  
Toru Ofuchi ◽  
Masato Ono ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Tumor Recurrence ◽  
Breast Cancer Patients

scholarly journals Quantifying protein-protein interactions by molecular counting with mass photometry

2020 ◽  
Author(s):  
Fabian Soltermann ◽  
Eric D.B. Foley ◽  
Veronica Pagnoni ◽  
Martin R. Galpin ◽  
Justin L.P. Benesch ◽  
...  
Keyword(s):  
Molecular Mass ◽  
Single Molecule ◽  
Protein Interactions ◽  
Analytical Techniques ◽  
Binding Affinities ◽  
Label Free ◽  
Protein Protein Interactions ◽  
Single Molecule Level ◽  
Minimal Invasiveness ◽  
Universal Approach

AbstractInteractions between biomolecules control the processes of life in health, and their malfunction in disease, making their characterization and quantification essential. Immobilization- and label-free analytical techniques are particular desirable because of their simplicity and minimal invasiveness, but struggle to quantify tight interactions. Here, we show that we can accurately count, distinguish by molecular mass, and thereby reveal the relative abundances of different un-labelled biomolecules and their complexes in mixtures at the single-molecule level by mass photometry. These measurements enable us to quantify binding affinities over four orders of magnitude at equilibrium for both simple and complex stoichiometries within minutes, as well as to determine the associated kinetics. Our results introduce mass photometry as a rapid, simple and label-free method for studying sub-μM binding affinities, with potential to be extended towards a universal approach for characterising complex biomolecular interactions.

scholarly journals Structural titration of receptor ion channel GLIC gating by HS-AFM

2018 ◽  
Vol 115 (41) ◽  
pp. 10333-10338 ◽  
Author(s):  
Yi Ruan ◽  
Kevin Kao ◽  
Solène Lefebvre ◽  
Arin Marchesi ◽  
Pierre-Jean Corringer ◽  
...  
Keyword(s):  
Ion Channel ◽  
Single Molecule ◽  
Conformational Changes ◽  
Protein Interactions ◽  
High Speed ◽  
Conformational Dynamics ◽  
Protein Protein Interactions ◽  
Ion Conductance ◽  
Single Molecule Level ◽  
Selective Channel

Gloeobacter violaceus ligand-gated ion channel (GLIC), a proton-gated, cation-selective channel, is a prokaryotic homolog of the pentameric Cys-loop receptor ligand-gated ion channel family. Despite large changes in ion conductance, small conformational changes were detected in X-ray structures of detergent-solubilized GLIC at pH 4 (active/desensitized state) and pH 7 (closed state). Here, we used high-speed atomic force microscopy (HS-AFM) combined with a buffer exchange system to perform structural titration experiments to visualize GLIC gating at the single-molecule level under native conditions. Reference-free 2D classification revealed channels in multiple conformational states during pH gating. We find changes of protein–protein interactions so far elusive and conformational dynamics much larger than previously assumed. Asymmetric pentamers populate early stages of activation, which provides evidence for an intermediate preactivated state.

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