Objective Diagnosis of Cervical Cancer by Tissue Protein Profile Analysis

2011 ◽  
Author(s):  
Ajeetkumar Patil ◽  
Sujatha Bhat ◽  
Lavanya Rai ◽  
V. B. Kartha ◽  
Santhosh Chidangil ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Profile Analysis ◽  
Protein Profile ◽  
Tissue Protein

scholarly journals Application of HPLC Combined with Laser Induced Fluorescence for Protein Profile Analysis of Tissue Homogenates in Cervical Cancer

2012 ◽  
Vol 2012 ◽  
pp. 1-7
Author(s):  
Sujatha Bhat ◽  
Ajeetkumar Patil ◽  
Lavanya Rai ◽  
V. B. Kartha ◽  
Santhosh Chidangil
Keyword(s):  
Cervical Cancer ◽  
Diagnostic Accuracy ◽  
High Performance ◽  
Profile Analysis ◽  
Protein Profile ◽  
Laser Induced Fluorescence ◽  
Cancer Tissue ◽  
Protein Profiles ◽  
Tissue Homogenates ◽  
Youden’S Index

A highly objective method, High Performance Liquid Chromatography with Laser Induced Fluorescence (HPLC-LIF) technique was used to study the protein profiles of normal and cervical cancer tissue homogenates. A total of 44 samples including normal cervical biopsy samples from the hysterectomy patients and the patients suffering from different stages of the cervical cancer were recorded by HPLC-LIF and analysed by Principle Component Analysis (PCA) to get statistical information on different tissue components. Discrimination of different stages of the samples was carried out by considering three parameters—scores of factor, spectral residual, and Mahalanobis Distance. Diagnostic accuracy of the method was evaluated using Receiver Operating Characteristic (ROC) analysis, and Youden's index(J)plots. The PCA results showed high sensitivity and specificity (∼100) for cervical cancer diagnosis. ROC and Youden's index curves for both normal and malignant standard sets show good diagnostic accuracy with high AUC values. The statistical analysis has shown that the differences in protein profiles can be used to diagnose biochemical changes in the tissue, and thus can be readily applied for the detection of cervical cancer, even in situations where a histopathology examination is not easy because of nonavailability of experienced pathologists.

Protein profile analysis of cellular samples from the cervix for the objective diagnosis of cervical cancer using HPLC-LIF

2010 ◽  
Vol 878 (31) ◽  
pp. 3225-3230 ◽  
Author(s):  
Sujatha Bhat ◽  
Ajeetkumar Patil ◽  
Lavanya Rai ◽  
V.B. Kartha ◽  
C. Santhosh
Keyword(s):  
Cervical Cancer ◽  
Profile Analysis ◽  
Protein Profile

scholarly journals Integrative Systems Biology Approaches to Identify Potential Biomarkers and Pathways of Cervical Cancer

2021 ◽  
Vol 11 (5) ◽  
pp. 363
Author(s):  
Arafat Rahman Oany ◽  
Mamun Mia ◽  
Tahmina Pervin ◽  
Salem Ali Alyami ◽  
Mohammad Ali Moni
Keyword(s):  
Cervical Cancer ◽  
Systems Biology ◽  
Differentially Expressed Genes ◽  
Inflammatory Responses ◽  
Profile Analysis ◽  
Target Identification ◽  
Regulatory Genes ◽  
Differentially Expressed ◽  
Hub Genes ◽  
Potential Biomarkers

Nowadays, cervical cancer (CC) is treated as the leading cancer among women throughout the world. Despite effective vaccination and improved surgery and treatment, CC retains its fatality rate of about half of the infected population globally. The major screening biomarkers and therapeutic target identification have now become a global concern. In the present study, we have employed systems biology approaches to retrieve the potential biomarkers and pathways from transcriptomic profiling. Initially, we have identified 76 of each up-regulated and down-regulated gene from a total of 4643 differentially expressed genes. The up-regulatory genes mainly concentrate on immune-inflammatory responses, and the down-regulatory genes are on receptor binding and gamma-glutamyltransferase. The involved pathways associated with these genes were also assessed through pathway enrichment, and we mainly focused on different cancer pathways, immunoresponse, and cell cycle pathways. After the subsequent enrichment of these genes, we have identified 12 hub genes, which play a crucial role in CC and are verified by expression profile analysis. From our study, we have found that genes LILRB2 and CYBB play crucial roles in CC, as reported here for the first time. Furthermore, the survivability of the hub genes was also assessed, and among them, finally, CXCR4 has been identified as one of the most potential differentially expressed genes that might play a vital role in the survival of CC patients. Thus, CXCR4 could be used as a prognostic and/or diagnostic biomarker and a drug target for CC.

scholarly journals Root iTRAQ protein profile analysis of two Citrus species differing in aluminum-tolerance in response to long-term aluminum-toxicity

BMC Genomics ◽  
2015 ◽  
Vol 16 (1) ◽  
Author(s):  
Huan-Xin Jiang ◽  
Lin-Tong Yang ◽  
Yi-Ping Qi ◽  
Yi-Bin Lu ◽  
Zeng-Rong Huang ◽  
...  
Keyword(s):  
Aluminum Toxicity ◽  
Profile Analysis ◽  
Protein Profile ◽  
Aluminum Tolerance ◽  
Citrus Species

scholarly journals Detection of Papillary Thyroid Carcinoma With Serum Protein Profile Analysis

2008 ◽  
Vol 134 (2) ◽  
pp. 198 ◽  
Author(s):  
William H. Moretz ◽  
Christine G. Gourin ◽  
David J. Terris ◽  
Zhong-Sheng Xia ◽  
Zhongmin Liu ◽  
...  
Keyword(s):  
Papillary Thyroid Carcinoma ◽  
Thyroid Carcinoma ◽  
Serum Protein ◽  
Profile Analysis ◽  
Protein Profile ◽  
Papillary Thyroid ◽  
Serum Protein Profile

Comparison of Restriction Enzyme Analysis, Arbitrarily Primed PCR, and Protein Profile Analysis Typing for Epidemiologic Investigation of an Ongoing Clostridium difficileOutbreak

1998 ◽  
Vol 36 (10) ◽  
pp. 2957-2963 ◽  
Author(s):  
Mary Ellen Rafferty ◽  
Aldona L. Baltch ◽  
Raymond P. Smith ◽  
Lawrence H. Bopp ◽  
Carol Rheal ◽  
...  
Keyword(s):  
Clostridium Difficile ◽  
General Hospital ◽  
Restriction Enzyme ◽  
Profile Analysis ◽  
Protein Profile ◽  
Enzyme Analysis ◽  
Restriction Enzyme Analysis ◽  
Typing Methods ◽  
Arbitrarily Primed Pcr ◽  
Predominant Strain

During an outbreak of diarrhea in a general hospital in 1992, 166Clostridium difficile isolates from 102 patients were typed by restriction enzyme analysis (REA), arbitrarily primed PCR (AP-PCR), and protein profile analysis (PP) techniques. A total of 18 types and 5 subtypes were identified by REA, 32 types were identified by AP-PCR, and 9 types were identified by PP. Analysis of the data indicated the presence of a predominant strain among 76, 75, and 84% of the isolates by REA, AP-PCR, and PP, respectively. Subsequently, 45C. difficile isolates which had been collected in 1990 from 33 patients in the same hospital following a significant increase in the number of cases of diarrhea caused by C. difficile were studied by REA, AP-PCR, and PP typing techniques. Thirteen types and one subtype were identified by REA, 12 types were identified by AP-PCR, and 5 types were identified by PP. As with the isolates from 1992, a dominant strain was identified. This strain was represented by 53, 64, and 70% of the total number of isolates when the strains were typed by REA, AP-PCR, and PP, respectively. Every isolate (210 of 211) from both 1990 and 1992 that was available for typing was typeable by all three methods. Furthermore, the same dominant strain was identified in both 1990 and 1992 by each method. This study demonstrates that each of the three typing methods can be useful in epidemiologic investigations of C. difficileoutbreaks and that one strain can be dominant in an institution over a number of years.

Culture-Confirmed Reinfection of a Person with Different Strains of Borrelia burgdorferi Sensu Stricto

1998 ◽  
Vol 36 (4) ◽  
pp. 1015-1019 ◽  
Author(s):  
William T. Golde ◽  
Barbara Robinson-Dunn ◽  
Mary Grace Stobierski ◽  
Daniel Dykhuizen ◽  
Ing-Nang Wang ◽  
...  
Keyword(s):  
Borrelia Burgdorferi ◽  
Profile Analysis ◽  
Protein Profile ◽  
Erythema Migrans ◽  
Diagnostic Testing ◽  
Serum Antibody ◽  
Surface Protein ◽  
Punch Biopsy ◽  
Skin Punch Biopsy ◽  
Different Strains

In recent years, the utility of serum-based diagnostic testing for Lyme disease has improved substantially; however, recovery by culture of the bacterium from skin biopsies of suspected patients is still the only definitive laboratory test. Reinfection of patients has been assumed to occur but as yet has not been documented by serial isolates from the same person. We present a case of culture-confirmed reinfection of a patient in Menominee County, Michigan. Borrelia burgdorferi was isolated from the skin punch biopsy specimens during each episode of erythema migrans (EM) and was subjected to molecular strain typing, genetic analysis of two outer surface protein genes, protein profile analysis, and serum antibody response testing. Results show that these isolates are distinct strains of the bacterium and that the two episodes of EM were caused by independent infections. This report describes the documented, culture-confirmed reinfection of a human by two different strains of B. burgdorferi.

scholarly journals Two-dimensional gel electrophoretic protein profile analysis during seed development of Ocotea catharinensis: a recalcitrant seed species

2010 ◽  
Vol 22 (1) ◽  
pp. 23-33 ◽  
Author(s):  
Leonardo L.C. Dias ◽  
Tiago S. Balbuena ◽  
Vanildo Silveira ◽  
Claudete Santa-Catarina ◽  
Andrej Schevchenko ◽  
...  
Keyword(s):  
Seed Development ◽  
Protein Identification ◽  
Protein Extraction ◽  
Profile Analysis ◽  
Protein Profile ◽  
Two Dimensional ◽  
Two Dimensional Gel Electrophoresis ◽  
Recalcitrant Seed ◽  
And Storage ◽  
Cotyledonary Stage

The aim of the present work was to characterize changes in the protein profile throughout seed development in O. catharinensis, a recalcitrant species, by two-dimensional gel electrophoresis. Protein extraction was undertaken by using a thiourea/urea buffer, followed by a precipitation step with 10% TCA. Comparative analysis during seed development showed that a large number of proteins were exclusively detected in each developmental stage. The cotyledonary stage, which represents the transition phase between embryogenesis and the beginning of metabolism related to maturation, presents the highest number of stage-specific spots. Protein identification, through MS/MS analysis, resulted in the identification of proteins mainly related to oxidative metabolism and storage synthesis. These findings contribute to a better understanding of protein metabolism during seed development in recalcitrant seeds, besides providing information on established markers that could be useful in defining and improving somatic embryogenesis protocols, besides monitoring the development of somatic embryos in this species.

scholarly journals Evaluation of biochemical and serological methods to identify and clustering yeast cells of oral Candida species by CHROMagar test, SDS-PAGE and ELISA

2004 ◽  
Vol 64 (2) ◽  
pp. 317-326 ◽  
Author(s):  
J. A. de O. Rodrigues ◽  
J. F. Höfling ◽  
F. C. A. Tavares ◽  
K. M. R. Duarte ◽  
R. B. Gonçalves ◽  
...  
Keyword(s):  
Candida Species ◽  
Profile Analysis ◽  
Protein Profile ◽  
Negative Control ◽  
Yeast Cells ◽  
Sds Page ◽  
Differential Medium ◽  
Oral Yeasts ◽  
Species Specific ◽  
High Level

The purpose of this work was to evaluate biochemical and serological methods to characterize and identify Candida species from the oral cavity. The strains used were five Candida species previously identified: C. albicans, C. guilliermondii, C. parapsilosis, C. krusei, C. tropicalis, and Kluyveromyces marxianus, as a negative control. The analyses were conducted through the SDS-PAGE associated with statistical analysis using software, chromogenic medium, and CHROMagar Candida (CA), as a differential medium for the isolation and presumptive identification of clinically important yeasts and an enzyme-linked immunoabsorbent assay (ELISA), using antisera produced against antigens from two C. albicans strains. This method enabled the screening of the three Candida species: C. albicans, C. tropicalis, and C. Krusei, with 100% of specificity. The ELISA using purified immunoglobulin G showed a high level of cross-reaction against protein extracts of Candida species. The SDS-PAGE method allowed the clustering of species-specific isolates using the Simple Matching coefficient, S SM = 1.0. The protein profile analysis by SDS-PAGE increases what is known about the taxonomic relationships among oral yeasts. This methodology showed good reproducibility and allows collection of useful information for numerical analysis on information relevant to clinical application, and epidemiological and systematical studies.

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