Epigenetic changes in cancer by Raman imaging, fluorescence imaging, AFM and scanning near-field optical microscopy (SNOM). Acetylation in normal and human cancer breast cells MCF10A, MCF7 and MDA-MB-231

Abramczyk, Halina; Surmacki, Jakub; Kopeć, Monika; Olejnik, Alicja K.; Kaufman‐Szymczyk, Agnieszka; Fabianowska‐Majewska, Krystyna

doi:10.1039/c6an00859c

Cited by 41 publications

(43 citation statements)

References 106 publications

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“…Hence, even though fingerprinting specific metabolites through the vibrational features alone is challenging, one can infer the contributions of these metabolites towards the composite cellular biochemical status represented in the Raman data. Further probing of the high wavenumber region may provide complementary molecular insights, particularly of the lipid phenotype along with other important biochemical features [52–56]. …”

Section: Discussionmentioning

confidence: 99%

Organ-specific isogenic metastatic breast cancer cell lines exhibit distinct Raman spectral signatures and metabolomes

et al. 2017

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Molecular characterization of organ-specific metastatic lesions, which distinguish them from the primary tumor, will provide a better understanding of tissue specific adaptations that regulate metastatic progression. Using an orthotopic xenograft model, we have isolated isogenic metastatic human breast cancer cell lines directly from organ explants that are phenotypically distinct from the primary tumor cell line. Label-free Raman spectroscopy was used and informative spectral bands were ascertained as differentiators of organ-specific metastases as opposed to the presence of a single universal marker. Decision algorithms derived from the Raman spectra unambiguously identified these isogenic cell lines as unique biological entities – a finding reinforced through metabolomic analyses that indicated tissue of origin metabolite distinctions between the cell lines. Notably, complementarity of the metabolomics and Raman datasets was found. Our findings provide evidence that metastatic spread generates tissue-specific adaptations at the molecular level within cancer cells, which can be differentiated with Raman spectroscopy.

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Section: Discussionmentioning

confidence: 99%

Organ-specific isogenic metastatic breast cancer cell lines exhibit distinct Raman spectral signatures and metabolomes

et al. 2017

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“…The AI algorithm was also trained to continuously verify if a cell/particle was trapped or not. These characteristics place this technology in a very competitive position in relation to the state-of-the-art methods 14,36 . Currently, the techniques able to detect alterations in post-translational modifications (e.g., cell glycosylation) are limited in number 10,14,36 .…”

Section: Discussionmentioning

confidence: 99%

“…These characteristics place this technology in a very competitive position in relation to the state-of-the-art methods 14,36 . Currently, the techniques able to detect alterations in post-translational modifications (e.g., cell glycosylation) are limited in number 10,14,36 . Given that these are slight cellular changes, only affinity and biochemical assays, involving fluorescence, or a highly sensitive spectral and imaging techniques are able to detect them 14,36 .…”

Section: Discussionmentioning

confidence: 99%

“…Currently, the techniques able to detect alterations in post-translational modifications (e.g., cell glycosylation) are limited in number 10,14,36 . Given that these are slight cellular changes, only affinity and biochemical assays, involving fluorescence, or a highly sensitive spectral and imaging techniques are able to detect them 14,36 . However, the reliable profiling of cell glycans for clinical purposes through affinity assays requires external labels that are invasive, phototoxic, bleach when observed and has low spectral resolution 14 .…”

Section: Discussionmentioning

confidence: 99%

“…Given that these are slight cellular changes, only affinity and biochemical assays, involving fluorescence, or a highly sensitive spectral and imaging techniques are able to detect them 14,36 . However, the reliable profiling of cell glycans for clinical purposes through affinity assays requires external labels that are invasive, phototoxic, bleach when observed and has low spectral resolution 14 . Meanwhile, the mass spectrometry and Raman scattering have also been considered suitable for posttranslational cell modifications characterization 14,36 .…”

Section: Discussionmentioning

confidence: 99%

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iLoF: An intelligent Lab on Fiber Approach for Human Cancer Single-Cell Type Identification

Paiva,

Jorge,

Ribeiro

et al. 2020

Sci Rep

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With the advent of personalized medicine, there is a movement to develop "smaller" and "smarter" microdevices that are able to distinguish similar cancer subtypes. Tumor cells display major differences when compared to their natural counterparts, due to alterations in fundamental cellular processes such as glycosylation. Glycans are involved in tumor cell biology and they have been considered to be suitable cancer biomarkers. Thus, more selective cancer screening assays can be developed through the detection of specific altered glycans on the surface of circulating cancer cells. Currently, this is only possible through time-consuming assays. In this work, we propose the "intelligent" Lab on Fiber (iLof) device, that has a high-resolution, and which is a fast and portable method for tumor single-cell type identification and isolation. We apply an Artificial Intelligence approach to the back-scattered signal arising from a trapped cell by a micro-lensed optical fiber. As a proof of concept, we show that iLof is able to discriminate two human cancer cell models sharing the same genetic background but displaying a different surface glycosylation profile with an accuracy above 90% and a speed rate of 2.3 seconds. We envision the incorporation of the iLoF in an easy-to-operate microchip for cancer identification, which would allow further biological characterization of the captured circulating live cells.Recent research trends on healthcare point out to the movement to develop "smart" micro-tools to allow better personalized diagnostic and therapeutic approaches 1-3 . Considering that current medicine and biotechnology attempts are converging to novel methodologies at the micro (e.g., cancer cells detection) and nano scales (e.g., cancer-related extracellular vesicles detection), an effort towards the development of these "intelligent" microdevices with multifunctionalities is required 3 . In this regard, optical fiber tools -for example, Optical Fiber Tweezers (OFT) 1,4,5 -have emerged as suitable candidates thanks to their flexibility, small size and chemical inertness, which contributes to the advent of a novel concept of "Lab on Fiber" (LoF) devices 2 . The fruitful application of these optical-based microdevices in cancer screening has been envisioned as straightforward 1,2 . However, the high degree of heterogeneity among cancer subtypes must be taken into consideration 6,7 . This heterogeneity is mainly due to both cellular and microenvironmental factors, such as alterations in cellular glycosylation 8 . In particular, the selective detection of specific cancer-associated glycoforms expressed at the surface of circulating cancer cells could increase the specificity of cancer biomarker assays and therapeutic approaches 8-10 . In fact, tumor heterogeneity is considered to be a major barrier to an effective cancer diagnosis and treatment 6,7 . Recent evidence has shown that glycans can determine the acquisition of certain cellular features controlling tumor growth and progression 8,11,12 . For example, shorter trun...

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Structural Basis of Targeted Imaging and Therapy in Cancer Explorations with the Epigenetic Drugs

Pandit

Brahmkhatri

2022

Subcellular Biochemistry

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Epigenetic changes in cancer by Raman imaging, fluorescence imaging, AFM and scanning near-field optical microscopy (SNOM). Acetylation in normal and human cancer breast cells MCF10A, MCF7 and MDA-MB-231

Cited by 41 publications

References 106 publications

Organ-specific isogenic metastatic breast cancer cell lines exhibit distinct Raman spectral signatures and metabolomes

Organ-specific isogenic metastatic breast cancer cell lines exhibit distinct Raman spectral signatures and metabolomes

iLoF: An intelligent Lab on Fiber Approach for Human Cancer Single-Cell Type Identification

Structural Basis of Targeted Imaging and Therapy in Cancer Explorations with the Epigenetic Drugs

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