Literature DB >> 16924417

Deciphering the finger prints of brain cancer astrocytoma in comparison to astrocytes by using near infrared Raman spectroscopy.

Hirendra Nath Banerjee1, L Zhang.   

Abstract

To explore the biochemical differences between brain cancer cells Astrocytoma and normal cells Astrocyte, we investigated the Raman spectra of single cell from these two cell types and analyzed the difference in spectra and intensity. Raman spectrum shows the banding pattern of different compounds as detected by the laser. Raman intensity measures the intensity of these individual bands. The Raman spectra of brain cancer cells was similar to those of normal cells, but the Raman intensity of cancer cells was much higher than that of normal cells. The Raman spectra of brain cancer Astrocytoma shows that the structural changes of cancer cells happen so that many biological functions of these cells are lost. The results indicate that Raman spectra can offer the experimental basis for the cancer diagnosis and treatment.

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Year:  2006        PMID: 16924417     DOI: 10.1007/s11010-006-9278-4

Source DB:  PubMed          Journal:  Mol Cell Biochem        ISSN: 0300-8177            Impact factor:   3.396


  14 in total

1.  Spectroscopic study of human lung epithelial cells (A549) in culture: living cells versus dead cells.

Authors:  I Notingher; S Verrier; S Haque; J M Polak; L L Hench
Journal:  Biopolymers       Date:  2003       Impact factor: 2.505

2.  Studying single living cells and chromosomes by confocal Raman microspectroscopy.

Authors:  G J Puppels; F F de Mul; C Otto; J Greve; M Robert-Nicoud; D J Arndt-Jovin; T M Jovin
Journal:  Nature       Date:  1990-09-20       Impact factor: 49.962

3.  Search for a novel biomarker for the brain cancer astrocytoma by using surface enhanced laser desorption/ionisation (SELDI) technique.

Authors:  H Banerjee; Z Hawkins; J Williams; M Blackshear; C Sawyer; L Cezares; S K Pramanik; A Williams
Journal:  Cell Mol Biol (Noisy-le-grand)       Date:  2004-09       Impact factor: 1.770

4.  Raman microspectroscopic approach to the study of human granulocytes.

Authors:  G J Puppels; H S Garritsen; G M Segers-Nolten; F F de Mul; J Greve
Journal:  Biophys J       Date:  1991-11       Impact factor: 4.033

5.  MHC class-II-restricted antigen presentation by myelin basic protein-specific CD4+ T cells causes prolonged desensitization and outgrowth of CD4- responders.

Authors:  M D Mannie; M S Norris
Journal:  Cell Immunol       Date:  2001-08-25       Impact factor: 4.868

6.  Interleukin-2 promotes antigenic reactivity of rested T cells but prolongs the postactivational refractory phase of activated T cells.

Authors:  M S Norris; T J McConnell; M D Mannie
Journal:  Cell Immunol       Date:  2001-07-10       Impact factor: 4.868

7.  IL-4 responsive CD4+ T cells specific for myelin basic protein: IL-2 confers a prolonged postactivation refractory phase.

Authors:  Mark D Mannie; Dana J Fraser; Thomas J McConnell
Journal:  Immunol Cell Biol       Date:  2003-02       Impact factor: 5.126

8.  Confocal Raman microspectroscopy of the activation of single neutrophilic granulocytes.

Authors:  C Otto; N M Sijtsema; J Greve
Journal:  Eur Biophys J       Date:  1998       Impact factor: 1.733

9.  Inhibition of activation-induced death in T cell hybridomas by thiol antioxidants: oxidative stress as a mediator of apoptosis.

Authors:  P A Sandstrom; M D Mannie; T M Buttke
Journal:  J Leukoc Biol       Date:  1994-02       Impact factor: 4.962

10.  Resonance Raman microspectroscopic characterization of eosinophil peroxidase in human eosinophilic granulocytes.

Authors:  B L Salmaso; G J Puppels; P J Caspers; R Floris; R Wever; J Greve
Journal:  Biophys J       Date:  1994-07       Impact factor: 4.033

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  5 in total

1.  Cervical cancer detection based on serum sample Raman spectroscopy.

Authors:  José Luis González-Solís; Juan Carlos Martínez-Espinosa; Luis Adolfo Torres-González; Adriana Aguilar-Lemarroy; Luis Felipe Jave-Suárez; Pascual Palomares-Anda
Journal:  Lasers Med Sci       Date:  2013-10-03       Impact factor: 3.161

2.  Deciphering the Finger Prints of Brain Cancer Glioblastoma Multiforme from Four Different Patients by Using Near Infrared Raman Spectroscopy.

Authors:  Hirendra Nath Banerjee; Arnold Banerji; Arunendra Nath Banerjee; Eilena Riddick; Jenae Petis; Shavonda Evans; Megha Patel; Carl Parson; Valerie Smith; E Gwebu; Sarah Voisin
Journal:  J Cancer Sci Ther       Date:  2015-02-03

Review 3.  Raman spectroscopy in biomedicine - non-invasive in vitro analysis of cells and extracellular matrix components in tissues.

Authors:  Eva Brauchle; Katja Schenke-Layland
Journal:  Biotechnol J       Date:  2012-11-19       Impact factor: 4.677

Review 4.  Shining light on neurosurgery diagnostics using Raman spectroscopy.

Authors:  Brandy Broadbent; James Tseng; Rachel Kast; Thomas Noh; Michelle Brusatori; Steven N Kalkanis; Gregory W Auner
Journal:  J Neurooncol       Date:  2016-08-13       Impact factor: 4.506

5.  Glioma biopsies Classification Using Raman Spectroscopy and Machine Learning Models on Fresh Tissue Samples.

Authors:  Marco Riva; Tommaso Sciortino; Riccardo Secoli; Ester D'Amico; Sara Moccia; Bethania Fernandes; Marco Conti Nibali; Lorenzo Gay; Marco Rossi; Elena De Momi; Lorenzo Bello
Journal:  Cancers (Basel)       Date:  2021-03-03       Impact factor: 6.639

  5 in total

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