Label-free cytosensing of cancer cells based on the interaction between protein and an electron-transfer carbohydrate-mimetic peptide

2018 ◽  
Vol 1040 ◽  
pp. 166-176 ◽  
Author(s):  
Kazuharu Sugawara ◽  
Hideki Kuramitz ◽  
Toshihiko Kadoya
Keyword(s):  
Electron Transfer ◽  
Cancer Cells ◽  
Label Free ◽  
Mimetic Peptide

scholarly journals In Vitro Spectroscopy-Based Profiling of Urothelial Carcinoma: A Fourier Transform Infrared and Raman Imaging Study

Cancers ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 123
Author(s):  
Monika Kujdowicz ◽  
Wojciech Placha ◽  
Brygida Mech ◽  
Karolina Chrabaszcz ◽  
Krzysztof Okoń ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Fourier Transform ◽  
Cancer Cells ◽  
Cell Line ◽  
Cell Lines ◽  
Malignant Neoplasm ◽  
Fourier Transform Infrared ◽  
Diagnostic Tools ◽  
Label Free ◽  
Bladder Cancer Cells

Markers of bladder cancer cells remain elusive, which is a major cause of the low recognition of this malignant neoplasm and its recurrence. This implies an urgent need for additional diagnostic tools which are based on the identification of the chemism of bladder cancer. In this study, we employed label-free techniques of molecular imaging—Fourier Transform Infrared and Raman spectroscopic imaging—to investigate bladder cancer cell lines of various invasiveness (T24a, T24p, HT-1376, and J82). The urothelial HCV-29 cell line was the healthy control. Specific biomolecules discriminated spatial distribution of the nucleus and cytoplasm and indicated the presence of lipid bodies and graininess in some cell lines. The most prominent discriminators are the total content of lipids and sugar moieties as well as the presence of glycogen and other carbohydrates, un/saturated lipids, cytochromes, and a level of S-S bridges in proteins. The combination of the obtained hyperspectral database and chemometric methods showed a clear differentiation of each cell line at the level of the nuclei and cytoplasm and pointed out spectral signals which differentiated bladder cancer cells. Registered spectral markers correlated with biochemical composition changes can be associated with pathogenesis and potentially used for the diagnosis of bladder cancer and response to experimental therapies.

Abstract 188: Deep learning enables label-free profiling of the tumor microenvironment and enrichment of rare cancer cells

2021 ◽  
Author(s):  
Mahyar Salek ◽  
Hou-pu Chou ◽  
Prashast Khandelwal ◽  
Krishna P. Pant ◽  
Thomas J. Musci ◽  
...  
Keyword(s):  
Deep Learning ◽  
Tumor Microenvironment ◽  
Cancer Cells ◽  
Rare Cancer ◽  
Label Free

scholarly journals Coarse Raman and optical diffraction tomographic imaging enable label-free phenotyping of isogenic breast cancer cells of varying metastatic potential

2020 ◽  
Author(s):  
Santosh Kumar Paidi ◽  
Vaani Shah ◽  
Piyush Raj ◽  
Kristine Glunde ◽  
Rishikesh Pandey ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Molecular Imaging ◽  
Single Cell ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Metastatic Potential ◽  
Optical Diffraction ◽  
Multivariate Curve Resolution ◽  
Label Free

AbstractIdentification of the metastatic potential represents one of the most important tasks for molecular imaging of cancer. While molecular imaging of metastases has witnessed substantial progress as an area of clinical inquiry, determining precisely what differentiates the metastatic phenotype has proven to be more elusive underscoring the need to marry emerging imaging techniques with tumor biology. In this study, we utilize both the morphological and molecular information provided by 3D optical diffraction tomography and Raman spectroscopy, respectively, to propose a label-free route for optical phenotyping of cancer cells at single-cell resolution. By using an isogenic panel of cell lines derived from MDA-MB-231 breast cancer cells that vary in their metastatic potential, we show that 3D refractive index tomograms can capture subtle morphological differences among the parental, circulating tumor cells, and lung metastatic cells. By leveraging the molecular specificity of Raman spectroscopy, we demonstrate that coarse Raman microscopy is capable of rapidly mapping a sufficient number of cells for training a random forest classifier that can accurately predict the metastatic potential of cells at a single-cell level. We also leverage multivariate curve resolution – alternating least squares decomposition of the spectral dataset to demarcate spectra from cytoplasm and nucleus, and test the feasibility of identifying metastatic phenotypes using the spectra only from the cytoplasmic and nuclear regions. Overall, our study provides a rationale for employing coarse Raman mapping to substantially reduce measurement time thereby enabling the acquisition of reasonably large training datasets that hold the key for label-free single-cell analysis and, consequently, for differentiation of indolent from aggressive phenotypes.

Electrochemical Detection of Bacteria Using Graphene Oxide Electrodeposited on Titanium Implants

2014 ◽  
Vol 96 ◽  
pp. 45-53 ◽  
Author(s):  
Sirinrath Sirivisoot ◽  
Yardnapar Parcharoen ◽  
Thomas J. Webster
Keyword(s):  
Electron Transfer ◽  
Graphene Oxide ◽  
Electrochemical Sensors ◽  
Direct Electron Transfer ◽  
Orthopedic Implants ◽  
Titanium Implants ◽  
Cyclic Voltammograms ◽  
Label Free ◽  
Bacteria Growth ◽  
E Coli

Graphene oxide was electrodeposited on titanium (Ti-GO) and anodized titanium (ATi-GO) as label-free sensors for the detection of challenging living organisms, specificallyEscherichia coli(E. coli) andStaphylococcus aureus(S. aureus). The graphene modification contributed to two sets of oxidation-reduction peaks in cyclic voltammograms (CVs) of bacteria growth on the electrode surfaces (ATi-GO) that resulted in increasing direct electron transfer and stimulating excretion of mediating molecules for higher electron transfer between electrodes and bacteria. Additionally, similar wave patterns of CVs were found whenE. coliorS. aureuswere grown and electrocatalyzed on ATi-GO. The results suggest that bacteria on titanium implant surfaces could be easily detected by using mediatorless ATi-GO sensors electrochemically. These finding open another interesting method in using ATi-GO asin situelectrochemical sensors for label-free, close to real-time detection of bacteria infection in orthopedic implants.

Enhancement of paclitaxel-induced apoptosis in HER2-overexpressing human breast cancer cells by a pertuzumab mimetic peptide, HRAP

2010 ◽  
Vol 110 (2) ◽  
pp. 250-253 ◽  
Author(s):  
Hiroo Nakajima ◽  
Naruhiko Mizuta ◽  
Koichi Sakaguchi ◽  
Ikuya Fujiwara ◽  
Atsushi Yoshimori ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Human Breast Cancer ◽  
Breast Cancer Cells ◽  
Human Breast Cancer Cells ◽  
Human Breast ◽  
Mimetic Peptide ◽  
Induced Apoptosis

scholarly journals Label-Free Cancer Cells Detection Using Optical Sensors

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 55807-55814 ◽  
Author(s):  
Mahmoud Al Ahmad ◽  
Adel Najar ◽  
Amine El Moutaouakil ◽  
Nida Nasir ◽  
Minas Hussein ◽  
...  
Keyword(s):  
Cancer Cells ◽  
Optical Sensors ◽  
Label Free

The cholesterol metabolite 27-hydroxycholesterol increases the secretion of extracellular vesicles which promote breast cancer progression

Endocrinology ◽  
2021 ◽  
Author(s):  
Amy E Baek ◽  
Natalia Krawczynska ◽  
Anasuya Das Gupta ◽  
Svyatoslav Victorovich Dvoretskiy ◽  
Sixian You ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Tumor Growth ◽  
Cancer Cells ◽  
Extracellular Vesicles ◽  
Cancer Progression ◽  
Myeloid Cells ◽  
Breast Cancer Progression ◽  
Label Free ◽  
Tumor Growth And Metastasis ◽  
Promote Breast Cancer

Abstract Cholesterol has been implicated in the clinical progression of breast cancer, a disease that continues to be the most commonly diagnosed cancer in women. Previous work has identified the cholesterol metabolite, 27-hydroxycholesterol (27HC), as a major mediator of the effects of cholesterol on breast tumor growth and progression. 27HC can act as an estrogen receptor (ER) modulator to promote the growth of ERα+ tumors, and a liver x receptor (LXR) ligand in myeloid immune cells to establish an immune-suppressive program. In fact, the metastatic properties of 27HC require the presence of myeloid cells, with neutrophils (PMNs) being essential for the increase in lung metastasis in murine models. In an effort to further elucidate the mechanisms by which 27HC alters breast cancer progression, we made the striking finding that 27HC promoted the secretion of extracellular vesicles (EVs), a diverse assortment of membrane bound particles that include exosomes. The resulting EVs had a size distribution that was skewed slightly larger, compared to EVs generated by treating cells with vehicle. The increase in EV secretion and size was consistent across three different subtypes: primary murine PMNs, RAW264.7 monocytic cells and 4T1 murine mammary cancer cells. Label-free analysis of 27HC-EVs indicated that they had a different metabolite composition to those from vehicle-treated cells. Importantly, 27HC-EVs from primary PMNs promoted tumor growth and metastasis in two different syngeneic models, demonstrating the potential role of 27HC induced EVs in the progression of breast cancer. EVs from PMNs were taken up by cancer cells, macrophages and PMNs, but not T cells. Since EVs did not alter proliferation of cancer cells, it is likely that their pro-tumor effects are mediated through interactions with myeloid cells. Interestingly, RNA-seq analysis of tumors from 27HC-EV treated mice do not display significantly altered transcriptomes, suggesting that the effects of 27HC-EVs occur early on in tumor establishment and growth. Future work will be required to elucidate the mechanisms by which 27HC increases EV secretion, and how these EVs promote breast cancer progression. Collectively however, our data indicate that EV secretion and content can be regulated by a cholesterol metabolite, which may have detrimental effects in terms of disease progression, important findings given the prevalence of both breast cancer and hypercholesterolemia.

Sign in / Sign up

Export Citation Format

Share Document