Literature DB >> 23192957

Vibrational spectroscopic changes of B-lymphocytes upon activation.

Antonella I Mazur1, Jennifer L Monahan, Miloš Miljković, Nora Laver, Max Diem, Benjamin Bird.   

Abstract

The first study interpreting B-lymphocyte activation in normal lymph nodes using vibrational micro-spectral imaging is reported. Lymphocyte activation indicates the presence and response against a pathogen, regardless of the inciting pathogen's etiology, whether a benign, reactive or malignant process. Understanding the biochemical makeup of lymphocyte activation during early stages of disease and immune response may offer significant aid in determining a tumor's origin without the presence of malignant metastatic cells but within lymph nodes that are reactive and displaying regions of hyperplasia. Infrared and Raman data scrutinized via unsupervised multivariate methods may provide a physical and reproducible method to determine the biochemical components and variances therein of activated lymph nodes with distinguishing characteristics depending on the malignancy present in the region or elsewhere in the body. The results reported here provide a proof-of-concept study that reveal a potential to screen lymph nodes for disease without the presence of metastatic cells.
Copyright © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2012        PMID: 23192957     DOI: 10.1002/jbio.201200136

Source DB:  PubMed          Journal:  J Biophotonics        ISSN: 1864-063X            Impact factor:   3.207


  8 in total

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Authors:  Ali Akalin; Xinying Mu; Mark A Kon; Ayşegül Ergin; Stan H Remiszewski; Clay M Thompson; Dan J Raz; Max Diem; Benjamin Bird; Miloš Miljković
Journal:  Lab Invest       Date:  2015-02-09       Impact factor: 5.662

2.  Classification and prediction of HCC tissues by Raman imaging with identification of fatty acids as potential lipid biomarkers.

Authors:  T Tolstik; C Marquardt; C Beleites; C Matthäus; C Bielecki; M Bürger; C Krafft; O Dirsch; U Settmacher; J Popp; A Stallmach
Journal:  J Cancer Res Clin Oncol       Date:  2014-09-20       Impact factor: 4.553

3.  Single Cell Imaging of Nuclear Architecture Changes.

Authors:  Rikke Brandstrup Morrish; Michael Hermes; Jeremy Metz; Nicholas Stone; Stefano Pagliara; Richard Chahwan; Francesca Palombo
Journal:  Front Cell Dev Biol       Date:  2019-07-24

4.  Single Cell Label-Free Probing of Chromatin Dynamics During B Lymphocyte Maturation.

Authors:  Rikke Morrish; Kevin Ho Wai Yim; Stefano Pagliara; Francesca Palombo; Richard Chahwan; Nicholas Stone
Journal:  Front Cell Dev Biol       Date:  2021-03-26

Review 5.  Extracting knowledge from chemical imaging data using computational algorithms for digital cancer diagnosis.

Authors:  Saumya Tiwari; Rohit Bhargava
Journal:  Yale J Biol Med       Date:  2015-06-01

6.  High definition infrared spectroscopic imaging for lymph node histopathology.

Authors:  L Suzanne Leslie; Tomasz P Wrobel; David Mayerich; Snehal Bindra; Rajyasree Emmadi; Rohit Bhargava
Journal:  PLoS One       Date:  2015-06-03       Impact factor: 3.240

7.  Revealing changes in molecular composition of plant cell walls on the micron-level by Raman mapping and vertex component analysis (VCA).

Authors:  Notburga Gierlinger
Journal:  Front Plant Sci       Date:  2014-06-30       Impact factor: 5.753

8.  Linear and Non-Linear Optical Imaging of Cancer Cells with Silicon Nanoparticles.

Authors:  Elen Tolstik; Liubov A Osminkina; Denis Akimov; Maksim B Gongalsky; Andrew A Kudryavtsev; Victor Yu Timoshenko; Rainer Heintzmann; Vladimir Sivakov; Jürgen Popp
Journal:  Int J Mol Sci       Date:  2016-09-12       Impact factor: 5.923

  8 in total

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