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» Authors » Kitiporn Plaimas

Kitiporn Plaimas

Explore the profile of Kitiporn Plaimas including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 44
Citations 325
Followers 0
Related Specialties
Biology
Biochemistry
Molecular Biology
Top 10 Co-Authors
Apichat Suratanee
Teerapong Buaboocha
Supachitra Chadchawan
Luca Comai
Michael Maes
Rainer Konig
Panita Chutimanukul
Ezekiel Adebiyi
Segun Fatumo
Theerayut Toojinda
Published In
Infect Genet Evol
Int J Mol Sci
Genes (Basel)
PLoS One
Bioinform Biol Insights
Affiliations
Soon will be listed here.
Recent Articles
1.
Profiling of Key Hub Genes Using a Two-State Weighted Gene Co-Expression Network of 'Jao Khao' Rice under Soil Salinity Stress Based on Time-Series Transcriptome Data
Khunsanit P, Plaimas K, Chadchawan S, Buaboocha T
Int J Mol Sci . 2024 Oct; 25(20). PMID: 39456877
RNA-sequencing enables the comprehensive detection of gene expression levels at specific time points and facilitates the identification of stress-related genes through co-expression network analysis. Understanding the molecular mechanisms and identifying...
2.
Phenolic content discrimination in Thai holy basil using hyperspectral data analysis and machine learning techniques
Suratanee A, Chutimanukul P, Saelao T, Chadchawan S, Buaboocha T, Plaimas K
PLoS One . 2024 Oct; 19(10):e0309132. PMID: 39356698
Hyperspectral imaging has emerged as a powerful tool for the non-destructive assessment of plant properties, including the quantification of phytochemical contents. Traditional methods for antioxidant analysis in holy basil (Ocimum...
3.
Identification of Tumor Budding-Associated Genes in Breast Cancer through Transcriptomic Profiling and Network Diffusion Analysis
Janyasupab P, Singhanat K, Warnnissorn M, Thuwajit P, Suratanee A, Plaimas K, et al.
Biomolecules . 2024 Aug; 14(8). PMID: 39199284
Breast cancer has the highest diagnosis rate among all cancers. Tumor budding (TB) is recognized as a recent prognostic marker. Identifying genes specific to high-TB samples is crucial for hindering...
4.
A further examination of growth factors, T helper 1 polarization, and the gut microbiome in major depression: Associations with reoccurrence of illness, cognitive functions, suicidal behaviors, and quality of life
Maes M, Zhou B, Vasupanrajit A, Jirakran K, Klomkliew P, Chanchaem P, et al.
J Psychiatr Res . 2024 Jul; 176:430-441. PMID: 38968876
Growth factors, T helper (Th)1 polarization, and the microbiome are involved in the pathophysiology of major depression (MDD). It remains unclear whether the combination of these three pathways could enhance...
5.
Identification of Salt-Sensitive and Salt-Tolerant Genes through Weighted Gene Co-Expression Networks across Multiple Datasets: A Centralization and Differential Correlation Analysis
Sonsungsan P, Suratanee A, Buaboocha T, Chadchawan S, Plaimas K
Genes (Basel) . 2024 Mar; 15(3). PMID: 38540375
Salt stress is a significant challenge that severely hampers rice growth, resulting in decreased yield and productivity. Over the years, researchers have identified biomarkers associated with salt stress to enhance...
6.
A k-mer-based bulked segregant analysis approach to map seed traits in unphased heterozygous potato genomes
Sonsungsan P, Nganga M, Lieberman M, Amundson K, Stewart V, Plaimas K, et al.
G3 (Bethesda) . 2024 Feb; 14(4). PMID: 38366577
High-throughput sequencing-based methods for bulked segregant analysis (BSA) allow for the rapid identification of genetic markers associated with traits of interest. BSA studies have successfully identified qualitative (binary) and quantitative...
7.
ICON-GEMs: integration of co-expression network in genome-scale metabolic models, shedding light through systems biology
Paklao T, Suratanee A, Plaimas K
BMC Bioinformatics . 2023 Dec; 24(1):492. PMID: 38129786
Background: Flux Balance Analysis (FBA) is a key metabolic modeling method used to simulate cellular metabolism under steady-state conditions. Its simplicity and versatility have led to various strategies incorporating transcriptomic...
8.
GeneCompete: an integrative tool of a novel union algorithm with various ranking techniques for multiple gene expression data
Janyasupab P, Suratanee A, Plaimas K
PeerJ Comput Sci . 2023 Dec; 9:e1686. PMID: 38077583
Background: Identifying the genes responsible for diseases requires precise prioritization of significant genes. Gene expression analysis enables differentiation between gene expressions in disease and normal samples. Increasing the number of...
9.
Autistic spectrum disorder (ASD) - Gene, molecular and pathway signatures linking systemic inflammation, mitochondrial dysfunction, transsynaptic signalling, and neurodevelopment
Gevezova M, Sbirkov Y, Sarafian V, Plaimas K, Suratanee A, Maes M
Brain Behav Immun Health . 2023 Jun; 30:100646. PMID: 37334258
Background: Despite advances in autism spectrum disorder (ASD) research and the vast genomic, transcriptomic, and proteomic data available, there are still controversies regarding the pathways and molecular signatures underlying the...
10.
Adverse childhood experiences and reoccurrence of illness impact the gut microbiome, which affects suicidal behaviours and the phenome of major depression: towards enterotypic phenotypes
Maes M, Vasupanrajit A, Jirakran K, Klomkliew P, Chanchaem P, Tunvirachaisakul C, et al.
Acta Neuropsychiatr . 2023 Apr; 35(6):328-345. PMID: 37052305
The first publication demonstrating that major depressive disorder (MDD) is associated with alterations in the gut microbiota appeared in 2008 (Maes ., 2008). The purpose of the present study is...