Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

×

Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Khan, Khushbukhat

  • Google
  • 2
  • 15
  • 5

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2023Investigating pathogenic SNP of PKCι in HCV-induced hepatocellular carcinoma4citations
  • 2023Elucidating the role of missense SNP of protein kinase C epsilon in HCV-induced hepatocellular carcinoma1citations

Places of action

Chart of shared publication
Trembley, Janeen H.
2 / 2 shared
Badshah, Yasmin
2 / 2 shared
Justin, Saira
1 / 1 shared
Shabbir, Maria
2 / 2 shared
Ashraf, Naeem Mahmood
2 / 2 shared
Khan, Naila
1 / 1 shared
Hasan, Zafarul
1 / 1 shared
Afsar, Tayyaba
2 / 3 shared
Danish, Lubna
1 / 1 shared
Razak, Suhail
2 / 3 shared
Almajwal, Ali
2 / 3 shared
Alruwaili, Nawaf W.
1 / 2 shared
Alanezi, Tariq Nahar
1 / 1 shared
Rehman, Areeba
1 / 1 shared
Alshamari, Ali
1 / 1 shared
Chart of publication period
2023

Co-Authors (by relevance)

  • Trembley, Janeen H.
  • Badshah, Yasmin
  • Justin, Saira
  • Shabbir, Maria
  • Ashraf, Naeem Mahmood
  • Khan, Naila
  • Hasan, Zafarul
  • Afsar, Tayyaba
  • Danish, Lubna
  • Razak, Suhail
  • Almajwal, Ali
  • Alruwaili, Nawaf W.
  • Alanezi, Tariq Nahar
  • Rehman, Areeba
  • Alshamari, Ali
OrganizationsLocationPeople

article

Elucidating the role of missense SNP of protein kinase C epsilon in HCV-induced hepatocellular carcinoma

  • Trembley, Janeen H.
  • Alruwaili, Nawaf W.
  • Badshah, Yasmin
  • Shabbir, Maria
  • Ashraf, Naeem Mahmood
  • Khan, Khushbukhat
  • Alanezi, Tariq Nahar
  • Rehman, Areeba
  • Alshamari, Ali
  • Afsar, Tayyaba
  • Razak, Suhail
  • Almajwal, Ali
Abstract

<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>The protein kinase C (PKC) family of serine/threonine kinases contains more than ten isozymes that are involved in multiple signaling pathways, including cell cycle regulation and carcinogenesis. The PKCε isozyme is an oncogene known to be upregulated in various signaling pathways involved in hepatitis C virus (HCV)-induced hepatocellular carcinoma (HCC). However, there is no known association of missense SNPs in PKCε with this disease, which can be a potential biomarker for early diagnosis and treatment. This research reveals a novel missense SNP in PKCε that is associated with HCV-induced HCC in the Pakistani population.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>The PKCε SNP with amino acid substitution of E14K was chosen for wet lab analysis. Tetra ARMS-PCR was employed for the identification of high-risk SNP in PKCε of HCV-induced HCC patients. Liver function testing was also performed for comparison between the liver condition of the HCC patient and control group, and the viral load of HCC patient samples was evaluated to determine any alteration in the viral infectivity between different genotypes of the selected high-risk PKCε variant SNP.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Frequency distribution of the homozygous GG genotype was found to be highest among HCV-induced HCC patients and was also found to be significantly associated with disease development and progression. The <jats:italic>p</jats:italic> values of comparative data obtained for the other two genotypes, heterozygous AG and homozygous AA, of the SNP also showed the significance of the data for these alleles. Still, their odds ratio and relative risk analysis did not indicate their association with HCV-induced HCC.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>The distribution of a genotype GG of PKCε has been found in HCV- induced HCC patients. Therefore, these PKCε SNP have the potential to be biomarkers for HCV-induced HCC. Further investigation using a larger sample size would provide additional insight into these initial data and open a new avenue for a better prognosis of this disease.</jats:p></jats:sec>

Topics
  • impedance spectroscopy
  • size-exclusion chromatography