Nareshwaran Gnanasegaran

Dr. Nareshwaran Gnanasegaran

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 February 2014 in Clinical Oral Investigations
Verified
Journal Article
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FYFarinawati Binti Yazid
Farinawati Binti Yazid
NGNareshwaran Gnanasegaran
Nareshwaran Gnanasegaran
WKWijenthiran Kunasekaran
Wijenthiran Kunasekaran
VGVijayendran Govindasamy
Vijayendran Govindasamy
SMSabri Musa
Sabri Musa

18 April 2018 in Cell Biology International
Verified
Journal Article
Closed access
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PBPriyadarshini Bindal
Priyadarshini Bindal
TRThamil Selvee Ramasamy
Thamil Selvee Ramasamy
NKNoor Hayaty Abu Kasim
Noor Hayaty Abu Kasim
NGNareshwaran Gnanasegaran
Nareshwaran Gnanasegaran
Wen Lin ChaiWen Lin Chai
Wen Lin Chai

5 December 2014 in Journal of Cellular and Molecular Medicine
Verified
Journal Article
Open access
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PVPunitha Vasanthan
Punitha Vasanthan
VGVijayendran Govindasamy
Vijayendran Govindasamy
NGNareshwaran Gnanasegaran
Nareshwaran Gnanasegaran
WKWijenthiran Kunasekaran
Wijenthiran Kunasekaran
SMSabri Musa
Sabri Musa
NKNoor Hayaty Abu Kasim
Noor Hayaty Abu Kasim
MicroRNAs (miRNAs) are small non‐coding RNAs that regulate translation of mRNA into protein and play a crucial role for almost all biological activities. However, the identification of miRNAs from mesenchymal stem cells (MSCs), especially from dental pulp, is poorly understood. In this study, dental pulp stem cells (DPSCs) were characterized in terms of their proliferation and differentiation capacity. Furthermore, 104 known mature miRNAs were profiled by using real‐time PCR. Notably, we observed 19 up‐regulated miRNAs and 29 significantly down‐regulated miRNAs in DPSCs in comparison with bone marrow MSCs (BM‐MSCs). The 19 up‐regulated miRNAs were subjected to ingenuity analysis, which were composed into 25 functional networks. We have chosen top 2 functional networks, which comprised 10 miRNA (hsa‐miR‐516a‐3p, hsa‐miR‐125b‐1‐3p, hsa‐miR‐221‐5p, hsa‐miR‐7, hsa‐miR‐584‐5p, hsa‐miR‐190a, hsa‐miR‐106a‐5p, hsa‐mir‐376a‐5p, hsa‐mir‐377‐5p and hsa‐let‐7f‐2‐3p). Prediction of target mRNAs and associated biological pathways regulated by each of this miRNA was carried out. We paid special attention to hsa‐miR‐516a‐3p and hsa‐miR‐7‐5p as these miRNAs were highly expressed upon validation with qRT‐PCR analysis. We further proceeded with loss‐of‐function analysis with these miRNAs and we observed that hsa‐miR‐516a‐3p knockdown induced a significant increase in the expression of WNT5A. Likewise, the knockdown of hsa‐miR‐7‐5p increased the expression of EGFR. Nevertheless, further validation revealed the role of WNT5A as an indirect target of hsa‐miR‐516a‐3p. These results provide new insights into the dynamic role of miRNA expression in DPSCs. In conclusion, using miRNA signatures in human as a prediction tool will enable us to elucidate the biological processes occurring in DPSCs.

10 December 2012 in Journal of Tissue Engineering and Regenerative Medicine
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AKAbu Kasim
Abu Kasim
NHNoor Hayaty
Noor Hayaty
VGVijayendran Govindasamy
Vijayendran Govindasamy
NGNareshwaran Gnanasegaran
Nareshwaran Gnanasegaran
SMSabri Musa
Sabri Musa
ZAZeti Adura Che Ab. Aziz
Zeti Adura Che Ab. Aziz
The discovery of mesenchymal stem cells (MSCs) from a myriad of tissues has triggered the initiative of establishing tailor‐made stem cells for disease‐specific therapy. Nevertheless, lack of understanding on the inherent differential propensities of these cells may restrict their clinical outcome. Therefore, a comprehensive study was done to compare the proliferation, differentiation, expression of cell surface markers and gene profiling of stem cells isolated from different sources, viz. bone marrow, Wharton's jelly, adipose tissue and dental pulp. We found that although all MSCs were phenotypically similar to each other, Wharton's jelly (WJ) MSCs and dental pulp stem cells (DPSCs) were highly proliferative as compared to bone marrow (BM) MSCs and adipose tissue (AD) MSCs. Moreover, indistinguishable cell surface characteristics and differentiation capacity were confirmed to be similar among all cell types. Based on gene expression profiling, we postulate that BM‐MSCs constitutively expressed genes related to inflammation and immunodulation, whereas genes implicated in tissue development were highly expressed in AD‐MSCs. Furthermore, the transcriptome profiling of WJ‐MSCs and DPSCs revealed an inherent bias towards the neuro‐ectoderm lineage. Based on our findings, we believe that there is no unique master mesenchymal stem cell that is appropriate to treat all target diseases. More precisely, MSCs from different sources exhibit distinct and unique gene expression signatures that make them competent to give rise to specific lineages rather than others. Therefore, stem cells should be subjected to rigorous characterization and utmost vigilance needs to be adopted in order to choose the best cellular source for a particular disease. Copyright © 2012 John Wiley & Sons, Ltd.

27 April 2017 in European Journal of Clinical Investigation
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NGNareshwaran Gnanasegaran
Nareshwaran Gnanasegaran
VGVijayendran Govindasamy
Vijayendran Govindasamy
CSChristopher Simon
Christopher Simon
QGQuan Fu Gan
Quan Fu Gan
VVVui King Vincent‐Chong
Vui King Vincent‐Chong
NKNoor Hayaty Abu Kasim
Noor Hayaty Abu Kasim

6 July 2017 in IUBMB Life
Verified
Journal Article
Closed access
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NGNareshwaran Gnanasegaran
Nareshwaran Gnanasegaran
VGVijayendran Govindasamy
Vijayendran Govindasamy
Vasudevan ManiVasudevan Mani
Vasudevan Mani
NKNoor Hayaty Abu Kasim
Noor Hayaty Abu Kasim