Displaying publications 101 - 120 of 392 in total

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  1. Li WJ, Xu CK, Ong SQ, Majid AHA, Wang JG, Li XZ
    PMID: 39326209 DOI: 10.1016/j.cbd.2024.101333
    Studying differences in transcriptomes across various development stages of insects is necessary to uncover the physiological and molecular mechanism underlying development and metamorphosis. We here present the first transcriptome data generated under Illumina Hiseq platform concerning Zeugodacus tau (Walker) larvae from Nanchang, China. In total, 11,702 genes were identified from 9 transcriptome libraries of three development stages of Z. tau larvae. 7219 differentially expressed genes (DEGs) were screened out from the comparisons between each two development stages of Z. tau larvae, and their roles in development and metabolism were analyzed. Comparative analyses of transcriptome data showed that there are 5333 DEGs between 1-day and 7-day old larvae, consisting of 1609 up-regulated and 3724 down-regulated genes. Expressions of DEGs were more abundant in L7 than in L1 and L3, which might be associated with metamorphosis. Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis suggested the enrichment of metabolic process. KOG annotation further confirmed that 20-hydroxyecdysone (20E) pathway related genes Cyp4ac1_1, Cyp4aa1, Cyp313a4_3 were critical for the biosynthesis, transport, and catabolism of secondary metabolites and lipid transport and metabolism. Expression patterns of 8 DEGs were verified using quantitative real-time PCR (RT-qPCR). This study elucidated the DEGs and their roles underlying three development stages of Z. tau larvae, which provided valuable information for further functional genomic research.
    Matched MeSH terms: Gene Expression Profiling
  2. Suppiah J, Md Sani SS, Hassan SS, Nadzar NIF, Ibrahim N', Thayan R, et al.
    Virus Genes, 2025 Feb;61(1):26-37.
    PMID: 39397194 DOI: 10.1007/s11262-024-02114-2
    Dengue virus hijacks host cell mechanisms and immune responses in order to replicate efficiently. The interaction between the host and the virus affects the host's gene expression, which remains largely unexplored. This pilot study aimed to profile the host transcriptome as a potential strategy for identifying specific biomarkers for dengue prediction and detection. High-throughput RNA sequencing (RNA-seq) was employed to generate host transcriptome profiles in 16 dengue patients and 10 healthy controls. Differentially expressed genes (DEGs) were identified in patients with severe dengue and those with dengue with warning signs compared to healthy individuals. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to elucidate the functions of upregulated and downregulated genes. Compared to healthy controls, 6466 genes were significantly differentially expressed (p genes in the severe dengue group, with over half being upregulated. The major KEGG pathways implicated included transport and catabolism (14.4%-16.3%), signal transduction (6.6%-7.3%), global and overview maps (6.7%-7.1%), viral diseases (4.6%-4.8%), and the immune system (4.4%-4.6%). Several genes exhibited consistent and significant upregulation across all dengue patients, regardless of severity: Interferon alpha inducible protein 27 (IFI27), Potassium Channel Tetramerization Domain Containing 14 (KCTD14), Syndecan 1 (SDC1), DCC netrin 1 receptor (DCC), Ubiquitin C-terminal hydrolase L1 (UCHL1), Marginal zone B and B1 cell-specific protein (MZB1), Nestin (NES), C-C motif chemokine ligand 2 (CCL2), TNF receptor superfamily member 17 (TNFSF17), and TNF receptor superfamily member 13B (TNFRSF13B). Further analysis revealed potential biomarkers for severe dengue prediction, including TNF superfamily member 15 (TNFSF15), Plasminogen Activator Inhibitor-2 (SERPINB2), motif chemokine ligand 7 (CCL7), aconitate decarboxylase 1 (ACOD1), Metallothionein 1G (MT1G), and Myosin Light Chain Kinase (MYLK2), which were expressed 3.5 times, 2.9 times, 2.3 times, 2.1 times, 1.7 times, and 1.4 times greater, respectively, than dengue patients exhibiting warning signs. The identification of these host biomarkers through RNA-sequencing holds promising implications and potential to augment existing dengue detection algorithms, contributing significantly to improved diagnostic and prognostic capabilities.
    Matched MeSH terms: Gene Expression Profiling
  3. Wong KK, Ab Hamid SS
    PLoS One, 2025;20(2):e0307048.
    PMID: 39999090 DOI: 10.1371/journal.pone.0307048
    The clinical application of cellular immunotherapy in hepatocellular carcinoma (HCC) is impeded by the lack of a cell surface target frequently expressed in HCC cells and with minimal presence in normal tissues to reduce on-target, off-tumor toxicity. To address this, an in silico multomics analysis was conducted to identify an optimal therapeutic target in HCC. A longlist of genes (n = 12,948) expressed in HCCs according to The Human Protein Atlas database were examined. Eight genes were shortlisted to identify one with the highest expression in HCCs, without being shed into circulation, and with restrictive expression profile in other normal human tissues. A total of eight genes were shortlisted and subsequently ranked according to the combination of their transcript and protein expression levels in HCC cases (n = 791) derived from four independent datasets. TM4SF4 was the top-ranked target with the highest expression in HCCs. TM4SF4 showed more favorable expression profile with significantly lower expression in normal human tissues but more highly expressed in HCC compared with seven other common HCC therapeutic targets. Furthermore, scRNA-seq and immunohistochemistry datasets showed that TM4SF4 was absent in immune cell populations but highly expressed in the bile duct canaliculi of hepatocytes, regions inaccessible to immune cells. In scRNA-seq dataset of HCCs, TM4SF4 expression was positively associated with mitochondrial components and oxidative phosphorylation Gene Ontologies in HCC cells (n = 15,787 cells), suggesting its potential roles in mitochondrial-mediated oncogenic effects in HCC. Taken together, TM4SF4 is proposed as a promising cell surface target in HCC due to its high expression in HCC cells with restricted expression profile in non-cancerous tissues, and association with HCC oncogenic pathways.
    Matched MeSH terms: Gene Expression Profiling
  4. Luo JX, Gao XT, Rong Z, Zhang LH, Sun YF, Qi ZL, et al.
    Mar Biotechnol (NY), 2025 Feb 01;27(1):41.
    PMID: 39891779 DOI: 10.1007/s10126-025-10420-5
    Mandarin fish (Siniperca chuatsi) is a voracious carnivorous species, usually consuming only live bait fish, but dietary acclimation enables it to accept artificial feed. However, the effects of dietary acclimation on intestinal performance and gene expression in mandarin fish and related mechanisms remain largely unknown. Therefore, this study investigated the effects of artificial feed on intestinal physicochemical and biochemical performance and gene expression in mandarin fish. Mandarin fish were sampled on day 10 after feeding with live dace (LD), at day 40 after subsequent feeding with dead dace plus artificial feed (DD + AF) from day 11 to day 40, and at day 90 after continuous feeding with artificial feed (AF) alone from day 41 to day 90 for transcriptome sequencing. The biochemical analysis results indicated that artificial feed significantly increased the activity of antioxidant enzymes glutathione peroxidase and superoxide dismutase in the intestine, liver, and stomach. Histological analysis demonstrated intestinal damage in mandarin fish fed with artificial feed. The GO and KEGG enrichment analyses indicated that the DEGs in AF vs. DD + AF were significantly enriched in the pentose phosphate pathway, and the DEGs in AF vs. LD were mainly significantly enriched in glycolysis/gluconeogenesis and PPAR signaling pathways. Nineteen feed acclimation-related key genes such as gene pfkfb4a and scd were identified in the intestine and found to exhibit upregulated expressions. These results revealed that artificial feed domestication enhanced the antioxidant capacity of the mandarin fish intestine and reduced hepatic lipid deposition by upregulating the related gene expression of mandarin fish and that the regulation of carbon metabolisms, including sugar, lipid, and steroid metabolisms, might be fundamental mechanisms for mandarin fish to acclimatize to dietary changes. These findings provide novel insights into the feed acclimation mechanism of mandarin fish, holding implications for promoting large-scale artificial feed aquaculture of mandarin fish and improving economic efficiency.
    Matched MeSH terms: Gene Expression Profiling
  5. Ali DS, Vazifehmand R, Malik MA, Rukayadi Y, Radu S, Mirpour M, et al.
    World J Microbiol Biotechnol, 2025 Mar 08;41(3):97.
    PMID: 40055277 DOI: 10.1007/s11274-025-04307-9
    Biofilm formation and its molecular signaling in bacteria resistant to ionizing radiation is not fully understood. This study aimed to investigate the genetic variations and gene expression of biofilm in an ionizing radiation-resistant Bacillus subtilis in Ramsar. Direct sequencing and quantitative PCR were applied to determine nucleotide variations and gene expression profiles of tapA-sipW-tasA, sinR, sinI, ccpA, epsA-O, spoOB, spoOA, slrA, slrR, ymcA and abrB genes. RNAsnp-RNAfold and Phyre2 and the Swiss Model webserver were used to analyze the structural mRNA and protein respectively. At the molecular level, the tapA-sipW-tasA operon was significantly overexpressed and the expression of ccpA and slrR was significantly downregulated. The thermodynamic and ensemble diversity ratio of the tapA (G>C) gene showed the largest changes in RNA secondary structure. In addition, the largest protein pocket belonged to tapA (148.6 A03) compared to the normal structure (121.1 A03). A non-radiation Bacillus subtilis was served as a control group. These results support the hypothesis that the induction of robust biofilm formation is through the (tapA) operon signal in ionizing radiation-resistant B. subtilis and that genetic variation in tapA (G>C) was the major gene associated with diversity in robust biofilm formation.
    Matched MeSH terms: Gene Expression Profiling
  6. Khor GH, Froemming GR, Zain RB, Abraham MT, Thong KL
    Asian Pac J Cancer Prev, 2014;15(20):8957-61.
    PMID: 25374236
    BACKGROUND: Promoter hypermethylation leads to altered gene functions and may result in malignant cellular transformation. Thus, identification of biomarkers for hypermethylated genes could be useful for diagnosis, prognosis, and therapeutic treatment of oral squamous cell carcinoma (OSCC).

    OBJECTIVES: To screen hypermethylated genes with a microarray approach and to validate selected hypermethylated genes with the methylation-specific polymerase chain reaction (MSPCR).

    MATERIALS AND METHODS: Genome-wide analysis of normal oral mucosa and OSCC tissues was conducted using the Illumina methylation microarray. The specified differential genes were selected and hypermethylation status was further verified with an independent cohort sample of OSCC samples. Candidate genes were screened using microarray assay and run by MSPCR analysis.

    RESULTS: TP73, PIK3R5, and CELSR3 demonstrated high percentages of differential hypermethylation status.

    CONCLUSIONS: Our microarray screening and MSPCR approaches revealed that the signature candidates of differentially hypermethylated genes may possibly become potential biomarkers which would be useful for diagnostic, prognostic and therapeutic targets of OSCC in the near future.

    Matched MeSH terms: Gene Expression Profiling*
  7. Qiu J, Kleineidam A, Gouraud S, Yao ST, Greenwood M, Hoe SZ, et al.
    Endocrinology, 2014 Nov;155(11):4380-90.
    PMID: 25144923 DOI: 10.1210/en.2014-1448
    The supraoptic nucleus (SON) of the hypothalamus is responsible for maintaining osmotic stability in mammals through its elaboration of the antidiuretic hormone arginine vasopressin. Upon dehydration, the SON undergoes a function-related plasticity, which includes remodeling of morphology, electrical properties, and biosynthetic activity. This process occurs alongside alterations in steady state transcript levels, which might be mediated by changes in the activity of transcription factors. In order to identify which transcription factors might be involved in changing patterns of gene expression, an Affymetrix protein-DNA array analysis was carried out. Nuclear extracts of SON from dehydrated and control male rats were analyzed for binding to the 345 consensus DNA transcription factor binding sequences of the array. Statistical analysis revealed significant changes in binding to 26 consensus elements, of which EMSA confirmed increased binding to signal transducer and activator of transcription (Stat) 1/Stat3, cellular Myelocytomatosis virus-like cellular proto-oncogene (c-Myc)-Myc-associated factor X (Max), and pre-B cell leukemia transcription factor 1 sequences after dehydration. Focusing on c-Myc and Max, we used quantitative PCR to confirm previous transcriptomic analysis that had suggested an increase in c-Myc, but not Max, mRNA levels in the SON after dehydration, and we demonstrated c-Myc- and Max-like immunoreactivities in SON arginine vasopressin-expressing cells. Finally, by comparing new data obtained from Roche-NimbleGen chromatin immunoprecipitation arrays with previously published transcriptomic data, we have identified putative c-Myc target genes whose expression changes in the SON after dehydration. These include known c-Myc targets, such as the Slc7a5 gene, which encodes the L-type amino acid transporter 1, ribosomal protein L24, histone deactylase 2, and the Rat sarcoma proto-oncogene (Ras)-related nuclear GTPase.
    Matched MeSH terms: Gene Expression Profiling*
  8. Ali Hassan NZ, Mokhtar NM, Kok Sin T, Mohamed Rose I, Sagap I, Harun R, et al.
    PLoS One, 2014;9(4):e92553.
    PMID: 24694993 DOI: 10.1371/journal.pone.0092553
    Integrative analyses of multiple genomic datasets for selected samples can provide better insight into the overall data and can enhance our knowledge of cancer. The objective of this study was to elucidate the association between copy number variation (CNV) and gene expression in colorectal cancer (CRC) samples and their corresponding non-cancerous tissues. Sixty-four paired CRC samples from the same patients were subjected to CNV profiling using the Illumina HumanOmni1-Quad assay, and validation was performed using multiplex ligation probe amplification method. Genome-wide expression profiling was performed on 15 paired samples from the same group of patients using the Affymetrix Human Gene 1.0 ST array. Significant genes obtained from both array results were then overlapped. To identify molecular pathways, the data were mapped to the KEGG database. Whole genome CNV analysis that compared primary tumor and non-cancerous epithelium revealed gains in 1638 genes and losses in 36 genes. Significant gains were mostly found in chromosome 20 at position 20q12 with a frequency of 45.31% in tumor samples. Examples of genes that were associated at this cytoband were PTPRT, EMILIN3 and CHD6. The highest number of losses was detected at chromosome 8, position 8p23.2 with 17.19% occurrence in all tumor samples. Among the genes found at this cytoband were CSMD1 and DLC1. Genome-wide expression profiling showed 709 genes to be up-regulated and 699 genes to be down-regulated in CRC compared to non-cancerous samples. Integration of these two datasets identified 56 overlapping genes, which were located in chromosomes 8, 20 and 22. MLPA confirmed that the CRC samples had the highest gains in chromosome 20 compared to the reference samples. Interpretation of the CNV data in the context of the transcriptome via integrative analyses may provide more in-depth knowledge of the genomic landscape of CRC.
    Matched MeSH terms: Gene Expression Profiling*
  9. Hazreen Nita MK, Kua BC, Bhassu S, Othman RY
    Mol Biol Rep, 2012 Apr;39(4):3785-90.
    PMID: 21755294 DOI: 10.1007/s11033-011-1155-x
    Infectious hypodermal and haematopoietic necrosis virus (IHHNV) has been detected widely in penaeid culture facilities in Asia and the Americas. IHHNV infection on sub-adult and postlarvae of the giant freshwater prawn, Macrobrachium rosenbergii which had caused up to 80% mortalities was first reported in Southeast Taiwan in 2006. In Malaysia, although, there has been no report on IHHNV infections in M. rosenbergii, preliminary work suggests that there is an urgent need to setup a screening protocol for IHHNV for both wild and cultured populations. In this study, polymerase chain reaction based screening was carried out on 30 randomly sampled berried wild M. rosenbergii before and after spawning. All samples did not showed any sign of IHHNV infection. However, the results showed that 20% of the samples were IHHNV positive. Sequence analysis of the amplified band using NCBI-BLAST showed that the putative IHHNV sequence had 98% nucleotide sequence (388 bp) identity with the IHHNV isolate AC-05-005 non-structural protein 1 gene and seven other IHHNV strains in the data bank further affirming the suggestion on the presence of IHHNV in wild freshwater prawn populations in Malaysia.
    Matched MeSH terms: Gene Expression Profiling*
  10. Saedi TA, Moeini H, Tan WS, Yusoff K, Daud HM, Chu KB, et al.
    Mol Biol Rep, 2012 May;39(5):5785-90.
    PMID: 22223294 DOI: 10.1007/s11033-011-1389-7
    White tail disease (WTD) is a serious viral disease in the hatcheries and nursery ponds of Macrobrachium rosenbergii in many parts of the world. A new disease similar to WTD was observed in larvae and post larvae of M. rosenbergii cultured in Malaysia. In the present study, RT-PCR assay was used to detect the causative agents of WTD, M. rosenbergii nodavirus (MrNV) and extra small virus (XSV) using specific primers for MrNV RNA2 and XSV. The results showed the presence of MrNV in the samples with or without signs of WTD. However, XSV was only detected in some of the MrNV-positive samples. Phylogenetic analysis showed that the RNA2 of our Malaysian isolates were significantly different from the other isolates. Histopathological studies revealed myofiber degeneration of the tail muscles and liquefactive myopathy in the infected prawns. This was the first report on the occurrence of MrNV in the Malaysian freshwater prawn.
    Matched MeSH terms: Gene Expression Profiling*
  11. Saleh A, Zain RB, Hussaini H, Ng F, Tanavde V, Hamid S, et al.
    Oral Oncol, 2010 May;46(5):379-86.
    PMID: 20371203 DOI: 10.1016/j.oraloncology.2010.02.022
    Despite the advances in cancer treatment, the 5-year survival rate for oral cancer has not changed significantly for the past 40 years and still remains among the worst of all anatomic sites. Gene expression microarrays have been used successfully in the identification of genetic alterations in cancer development, however, these have hitherto been limited by the need for specimens with good quality intact RNA. Here, we demonstrated the use of formalin-fixed paraffin-embedded tissues in microarray experiments to identify genes differentially expressed between cancerous and normal oral tissues. Forty-three tissue samples were macrodissected and gene expression analyses were conducted using the Illumina DASL assay. We report RNA yield of 2.4 and 0.8 microg/mm(3) from tumour and normal tissues, respectively and this correlated directly with the tissue volume used for RNA extraction. Using unsupervised hierarchical clustering, distinct gene expression profiles for tumour and normal samples could be generated, and differentially expressed genes could be identified. The majority of these genes were involved in regulation of apoptosis and cell cycle, metastasis and cell adhesion including BCL2A1, BIRC5, MMP1, MMP9 and ITGB4. Representative genes were further validated in independent samples suggesting that these genes may be directly associated with oral cancer development. The ability to conduct microarrays on formalin-fixed paraffin-embedded specimens represents a significant advancement that could open up avenues for finding genes that could be used as prognostication and predictive tools for cancer.
    Matched MeSH terms: Gene Expression Profiling/methods*
  12. Lokanathan Y, Mohd-Adnan A, Wan KL, Nathan S
    BMC Genomics, 2010;11:76.
    PMID: 20113487 DOI: 10.1186/1471-2164-11-76
    Cryptocaryon irritans is a parasitic ciliate that causes cryptocaryonosis (white spot disease) in marine fish. Diagnosis of cryptocaryonosis often depends on the appearance of white spots on the surface of the fish, which are usually visible only during later stages of the disease. Identifying suitable biomarkers of this parasite would aid the development of diagnostic tools and control strategies for C. irritans. The C. irritans genome is virtually unexplored; therefore, we generated and analyzed expressed sequence tags (ESTs) of the parasite to identify genes that encode for surface proteins, excretory/secretory proteins and repeat-containing proteins.
    Matched MeSH terms: Gene Expression Profiling*
  13. Tan KS, Armugam A, Sepramaniam S, Lim KY, Setyowati KD, Wang CW, et al.
    PLoS One, 2009;4(11):e7689.
    PMID: 19888324 DOI: 10.1371/journal.pone.0007689
    The methods currently available for diagnosis and prognosis of cerebral ischaemia still require further improvements. Micro-RNAs (small non-coding RNAs) have been recently reported as useful biomarkers in diseases such as cancer and diabetes. We therefore carried out microRNA (miRNA) profiling from peripheral blood to detect and identify characteristic patterns in ischaemic stroke.
    Matched MeSH terms: Gene Expression Profiling*
  14. Ee SF, Oh JM, Mohd Noor N, Kwon TR, Mohamed-Hussein ZA, Ismail I, et al.
    Mol Biol Rep, 2013 Mar;40(3):2231-41.
    PMID: 23187733 DOI: 10.1007/s11033-012-2286-4
    The importance of plant secondary metabolites for both mankind and the plant itself has long been established. However, despite extensive research on plant secondary metabolites, plant secondary metabolism and its regulation still remained poorly characterized. In this present study, cDNA-amplified fragment length polymorphism (cDNA-AFLP) transcript profiling was applied to generate the expression profiles of Polygonum minus in response to salicylic acid (SA) and methyl jasmonate (MeJA) elicitations. This study reveals two different sets of genes induced by SA and MeJA, respectively where stress-related genes were proved to lead to the expression of genes involved in plant secondary metabolite biosynthetic pathways. A total of 98 transcript-derived fragments (TDFs) were up-regulated, including 46 from SA-treated and 52 from MeJA-treated samples. The cDNA-AFLP transcripts generated using 64 different Mse1/Taq1 primer combinations showed that treatments with SA and MeJA induced genes mostly involved in scavenging reactive oxygen species, including zeaxanthin epoxidase, cytosolic ascorbate peroxidase 1 and peroxidase. Of these stress-related genes, 15 % of other annotated TDFs are involved mainly in secondary metabolic processes where among these, two genes encoding (+)-delta cadinene synthase and cinnamoyl-CoA reductase were highlighted.
    Matched MeSH terms: Gene Expression Profiling*
  15. San CT, Shah FH
    Mol Biol Rep, 2005 Dec;32(4):227-35.
    PMID: 16328884
    The mRNA differential display method was utilized to study the differential expression and regulation of genes in two species of oil palm, the commercially grown variety Elaeis guineensis, var. tenera and the South American species, Elaeis oleifera. We demonstrated the differential expression of genes in the mesocarp and kernel at the week of active oil synthesis (15 week after anthesis) during fruit development as compare to the roots and leaves and the isolation of tissue-specific and species-specific cDNA clones. A total of eight specific cDNA clones were isolated and their specificities were confirmed by Northern hybridization and classified into three groups. Group one contains four clones (KT3, KT4, KT5 and KT6) that are kernel-specific for E. guineensis, tenera and E. oleifera. The second group represents clone FST1, which is mesocarp and kernel-specific for E. guineensis, tenera and E. oleifera. The third group represents clones MLT1, MLT2 and MLO1 that are mesocarp and leaf-specific. Northern analysis showed that their expressions were developmentally regulated. Nucleotide sequencing and homology search in GenBank data revealed that clones KT3 and KT4 encode for the same maturation protein PM3. While clones MLT1 and MLT2 encode for S-ribonuclease binding protein and fibrillin, respectively. The other clones (KT5, KT6, FST1 and MLO1) did not display any significant homology to any known protein.
    Matched MeSH terms: Gene Expression Profiling*
  16. Chin CY, Hara Y, Ghazali AK, Yap SJ, Kong C, Wong YC, et al.
    BMC Genomics, 2015;16:471.
    PMID: 26092034 DOI: 10.1186/s12864-015-1692-0
    Chronic bacterial infections occur as a result of the infecting pathogen's ability to live within a biofilm, hence escaping the detrimental effects of antibiotics and the immune defense system. Burkholderia pseudomallei, a gram-negative facultative pathogen, is distinctive in its ability to survive within phagocytic and non-phagocytic cells, to persist in vivo for many years and subsequently leading to relapse as well as the development of chronic disease. The capacity to persist has been attributed to the pathogen's ability to form biofilm. However, the underlying biology of B. pseudomallei biofilm development remains unresolved.
    Matched MeSH terms: Gene Expression Profiling/methods
  17. Pau Ni IB, Zakaria Z, Muhammad R, Abdullah N, Ibrahim N, Aina Emran N, et al.
    Pathol Res Pract, 2010 Apr 15;206(4):223-8.
    PMID: 20097481 DOI: 10.1016/j.prp.2009.11.006
    Genomic and transcriptomic alterations that affect cellular processes, such as cell proliferation, differentiation, apoptosis and invasion, commonly occur in breast oncogenesis. Epidemiological evidence has proven that the risk of breast cancer predisposition varies among different ethnicities. This study aims to identify the transcriptome changes that commonly occur during the transition of normal breast epithelium to carcinoma in three local ethnic groups (Malays, Chinese and Indians). The gene expression patterns of 43 breast carcinomas with 43 patient-matched normal breast tissues were investigated using Affymetrix U133A GeneChip (containing 22,283 probe sets targeting approximately 18,400 different transcripts) and analyzed with GeneSpring GX10. Our findings revealed a total of 33 significantly differentially expressed genes, which showed>2-fold change at a 99.9% confidence interval level (p<0.001). The significantly differentially expressed genes included CD24, CD36, CD9, TACSTD1, TACSTD2, HBB, LEP, LPL, AKR1C1, AKR1C2 and AKR1C3. Our results indicate that the vast majority of gene expression changes, from normal breast epithelial to carcinoma, found in our three major ethnic populations are similar to those in the Caucasian population. Further study of the differentially expressed genes identified in our present study is needed to search for potential breast tumor biomarkers. This will eventually help to improve the therapeutic and treatment strategies for breast cancer patients in the future.
    Matched MeSH terms: Gene Expression Profiling*
  18. Sood N, Verma DK, Paria A, Yadav SC, Yadav MK, Bedekar MK, et al.
    Fish Shellfish Immunol, 2021 Apr;111:208-219.
    PMID: 33577877 DOI: 10.1016/j.fsi.2021.02.005
    Nile tilapia (Oreochromis niloticus) is one of the most important aquaculture species farmed worldwide. However, the recent emergence of tilapia lake virus (TiLV) disease, also known as syncytial hepatitis of tilapia, has threatened the global tilapia industry. To gain more insight regarding the host response against the disease, the transcriptional profiles of liver in experimentally-infected and control tilapia were compared. Analysis of RNA-Seq data identified 4640 differentially expressed genes (DEGs), which were involved among others in antigen processing and presentation, MAPK, apoptosis, necroptosis, chemokine signaling, interferon, NF-kB, acute phase response and JAK-STAT pathways. Enhanced expression of most of the DEGs in the above pathways suggests an attempt by tilapia to resist TiLV infection. However, upregulation of some of the key genes such as BCL2L1 in apoptosis pathway; NFKBIA in NF-kB pathway; TRFC in acute phase response; and SOCS, EPOR, PI3K and AKT in JAK-STAT pathway and downregulation of the genes, namely MAP3K7 in MAPK pathway; IFIT1 in interferon; and TRIM25 in NF-kB pathway suggested that TiLV was able to subvert the host immune response to successfully establish the infection. The study offers novel insights into the cellular functions that are affected following TiLV infection and will serve as a valuable genomic resource towards our understanding of susceptibility of tilapia to TiLV infection.
    Matched MeSH terms: Gene Expression Profiling/veterinary
  19. Foong LC, Chai JY, Ho ASH, Yeo BPH, Lim YM, Tam SM
    Sci Rep, 2020 09 30;10(1):16123.
    PMID: 32999341 DOI: 10.1038/s41598-020-72997-2
    Impatiens balsamina L. is a tropical ornamental and traditional medicinal herb rich in natural compounds, especially 2-methoxy-1,4-naphthoquinone (MNQ) which is a bioactive compound with tested anticancer activities. Characterization of key genes involved in the shikimate and 1,4-dihydroxy-2-naphthoate (DHNA) pathways responsible for MNQ biosynthesis and their expression profiles in I. balsamina will facilitate adoption of genetic/metabolic engineering or synthetic biology approaches to further increase production for pre-commercialization. In this study, HPLC analysis showed that MNQ was present in significantly higher quantities in the capsule pericarps throughout three developmental stages (early-, mature- and postbreaker stages) whilst its immediate precursor, 2-hydroxy-1,4-naphthoquinone (lawsone) was mainly detected in mature leaves. Transcriptomes of I. balsamina derived from leaf, flower, and three capsule developmental stages were generated, totalling 59.643 Gb of raw reads that were assembled into 94,659 unigenes (595,828 transcripts). A total of 73.96% of unigenes were functionally annotated against seven public databases and 50,786 differentially expressed genes (DEGs) were identified. Expression profiles of 20 selected genes from four major secondary metabolism pathways were studied and validated using qRT-PCR method. Majority of the DHNA pathway genes were found to be significantly upregulated in early stage capsule compared to flower and leaf, suggesting tissue-specific synthesis of MNQ. Correlation analysis identified 11 candidate unigenes related to three enzymes (NADH-quinone oxidoreductase, UDP-glycosyltransferases and S-adenosylmethionine-dependent O-methyltransferase) important in the final steps of MNQ biosynthesis based on genes expression profiles consistent with MNQ content. This study provides the first molecular insight into the dynamics of MNQ biosynthesis and accumulation across different tissues of I. balsamina and serves as a valuable resource to facilitate further manipulation to increase production of MNQ.
    Matched MeSH terms: Gene Expression Profiling/methods
  20. Zainul Abidin FN, Westhead DR
    Nucleic Acids Res, 2017 04 20;45(7):e53.
    PMID: 27994031 DOI: 10.1093/nar/gkw1270
    Clustering is used widely in 'omics' studies and is often tackled with standard methods, e.g. hierarchical clustering. However, the increasing need for integration of multiple data sets leads to a requirement for clustering methods applicable to mixed data types, where the straightforward application of standard methods is not necessarily the best approach. A particularly common problem involves clustering entities characterized by a mixture of binary data (e.g. presence/absence of mutations, binding, motifs and epigenetic marks) and continuous data (e.g. gene expression, protein abundance, metabolite levels). Here, we present a generic method based on a probabilistic model for clustering this type of data, and illustrate its application to genetic regulation and the clustering of cancer samples. We show that the resulting clusters lead to useful hypotheses: in the case of genetic regulation these concern regulation of groups of genes by specific sets of transcription factors and in the case of cancer samples combinations of gene mutations are related to patterns of gene expression. The clusters have potential mechanistic significance and in the latter case are significantly linked to survival. The method is available as a stand-alone software package (GNU General Public Licence) from http://github.com/BioToolsLeeds/FlexiCoClusteringPackage.git.
    Matched MeSH terms: Gene Expression Profiling/methods*
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