Automated Author ProfileKushugulova, Almagul
Laboratory of Human Microbiome and longevity, Center for life sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan; Kazakhstan society of human microbiome researchers, Nur-Sultan, Kazakhstan0000-0001-9479-0899
Kushugulova, Almagul
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.0 (sum of 8 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Study design by CONSORT
Authors
- Issilbayeva, Argul ;
- Jarmukhanov, Zharkyn ;
- Kozhakhmetov, Samat ;
- Bakytgul, Yermekbayeva ;
- Chulenbayeva, Laura ;
- Muniz-Terrera, Graciela ;
- Furukawa, Masae ;
- Nikawa, Hiroki ;
- Supiyev, Adil ;
- Kushugulova, Almagul ;
- Zhumadilova, Anara
Analysis of regional variation and taxonomic markers in no caries and caries groups.
Authors
- Issilbayeva, Argul ;
- Jarmukhanov, Zharkyn ;
- Kozhakhmetov, Samat ;
- Bakytgul, Yermekbayeva ;
- Chulenbayeva, Laura ;
- Muniz-Terrera, Graciela ;
- Furukawa, Masae ;
- Nikawa, Hiroki ;
- Supiyev, Adil ;
- Kushugulova, Almagul ;
- Zhumadilova, Anara
Supplementary Figure 2A.Most abundant taxa of the oral microbiome in no caries and caries groups in adolescents at different taxonomic levels. (A-F) Barplot of the mean of the top 10 most abundant taxa by group: (A) at phylum; (B) at class; (C) at order; (D) at family; (E) at genus; (F) at species level. Significantly differentially abundant taxa are marked with (*) for MaAsLin, p ≤ 0.05 & LEfSe, LDA score ≥ 2.Supplementary Figure 2B. Analysis of regional variation and taxonomic markers of the oral microbiome in adolescents in no caries and caries groups. (A) Redundancy analysis (RDA) ordination showing the extent to which known variables account for taxonomic variation. ASV level, scaling=2. Ordination and biplot are standard scaled. (B) Overlap between regional and overall taxonomic markers. MaAsLin, p ≤ 0.05 & LEfSe, LDA score ≥ 2. (C-F) Effect size barplot of taxonomic markers in different regions at the species level. LEfSe LDA: (C) in Astana region (Ast); (D) in Kokshetau region (Kok); (E) in Semey region (Sem); (F) in Oskemen region (Osk).
Authors
- Issilbayeva, Argul ;
- Jarmukhanov, Zharkyn ;
- Kozhakhmetov, Samat ;
- Bakytgul, Yermekbayeva ;
- Chulenbayeva, Laura ;
- Muniz-Terrera, Graciela ;
- Furukawa, Masae ;
- Nikawa, Hiroki ;
- Supiyev, Adil ;
- Kushugulova, Almagul ;
- Zhumadilova, Anara
Study PurposeThis dataset was generated as part of the study “Oral Microbiome Patterns of Dental Caries in Kazakhstani Adolescents”. The purpose was to investigate differences in oral microbiome composition between adolescents with dental caries and those without, and to identify taxonomic markers associated with caries and regional variations.Methodology and Study DesignA cross-sectional study was conducted among 312 adolescents aged 12–15 years in Kazakhstan. Dental caries was assessed using the DMFT index according to WHO criteria. Buccal epithelium samples were collected from each participant, and DNA was extracted using ZymoBIOMICS™ kits. The V3–V4 regions of the 16S rRNA gene were sequenced on the Illumina MiSeq platform. Taxonomic classification was performed using the SILVA database, and functional predictions were carried out with PICRUSt2 against the KEGG database.
Authors
- Issilbayeva, Argul ;
- Jarmukhanov, Zharkyn ;
- Kozhakhmetov, Samat ;
- Bakytgul, Yermekbayeva ;
- Chulenbayeva, Laura ;
- Muniz-Terrera, Graciela ;
- Furukawa, Masae ;
- Nikawa, Hiroki ;
- Supiyev, Adil ;
- Kushugulova, Almagul ;
- Zhumadilova, Anara
No description available
Authors
- Issilbayeva, Argul ;
- Jarmukhanov, Zharkyn ;
- Kozhakhmetov, Samat ;
- Bakytgul, Yermekbayeva ;
- Chulenbayeva, Laura ;
- Muniz-Terrera, Graciela ;
- Furukawa, Masae ;
- Nikawa, Hiroki ;
- Supiyev, Adil ;
- Kushugulova, Almagul ;
- Zhumadilova, Anara
Top 10 abundant taxa at phylum, class, order, family, genus, species and ASV level in no caries and caries groups.
Authors
- Issilbayeva, Argul ;
- Jarmukhanov, Zharkyn ;
- Kozhakhmetov, Samat ;
- Bakytgul, Yermekbayeva ;
- Chulenbayeva, Laura ;
- Muniz-Terrera, Graciela ;
- Furukawa, Masae ;
- Nikawa, Hiroki ;
- Supiyev, Adil ;
- Kushugulova, Almagul ;
- Zhumadilova, Anara
Sequencing raw data of microbiome in fastq format
Authors
- Kaiyrlykyzy, Aiym ;
- Kozhakhmetov, Samat ;
- Babenko, Dmitriy ;
- Olzhayev, Farkhad ;
- Baibulatova, Aida ;
- Kushugulova, Almagul ;
- Askarova, Sholpan
Sequencing raw data of microbiome in fastq format
Authors
- Kaiyrlykyzy, Aiym ;
- Kozhakhmetov, Samat ;
- Babenko, Dmitriy ;
- Olzhayev, Farkhad ;
- Baibulatova, Aida ;
- Kushugulova, Almagul ;
- Askarova, Sholpan