Literature DB >> 15641164

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

H Banerjee1, Z Hawkins, J Williams, M Blackshear, C Sawyer, L Cezares, S K Pramanik, A Williams.   

Abstract

The protein chip surface enhanced laser desorption/ionisation (SELDI) technique is a highly versatile analytical mass spectrometry system with considerable potential for detection, identification and quantitation of protein complex mixtures. Astrocytoma is a tumour of the astrocytes with a very poor prognosis. There is no effective biomarker system for detection of astrocytoma. The SELDI technique was used to study differential protein expression in astrocytoma cells in comparison to normal brain astrocytes. Several novel proteins were found to be expressed in the astrocytoma cells, not present in the astrocytes.

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Year:  2004        PMID: 15641164

Source DB:  PubMed          Journal:  Cell Mol Biol (Noisy-le-grand)        ISSN: 0145-5680            Impact factor:   1.770


  4 in total

Review 1.  [Identification of biomarkers and therapeutic targets for renal cell cancer using ProteinChip technology].

Authors:  K Junker; F von Eggeling; J Müller; T Steiner; J Schubert
Journal:  Urologe A       Date:  2006-03       Impact factor: 0.639

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

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

Authors:  Hirendra Nath Banerjee; L Zhang
Journal:  Mol Cell Biochem       Date:  2006-08-22       Impact factor: 3.396

4.  Method of regulatory network that can explore protein regulations for disease classification.

Authors:  Hong Qiang Wang; Hai Long Zhu; William C S Cho; Timothy T C Yip; Roger K C Ngan; Stephen C K Law
Journal:  Artif Intell Med       Date:  2009-12-03       Impact factor: 5.326

  4 in total

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