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Fulltext Data of the first de novo transcriptome assembly of the inflorescence of Curcuma alismatifolia

Taheri S, Abdullah TL, Noor YM, Padil HM, Sahebi M, Azizi P

Data Brief, 2018 Aug;19:2452-2454.
PMID: 30246104 DOI: 10.1016/j.dib.2018.07.038

Curcuma alismatifolia, is an Asian crop from Zingiberaceae family, popularly used as ornamental plant in floriculture industry of Thailand and Cambodia. Different varieties with a wide range of colors can be found in species. Until now, few breeding programs have been done on this species and most commercially important cultivars are hybrids that are propagated vegetatively. In spite of other flowering plants, there is still lack of transcriptomic-based data on the functions of genes related to flower color in C. alismatifolia. The raw data presented in this article provides information on new original transcriptome data of two cultivars of C. alismatifolia by Illumina Hiseq. 4000 RNA-Seq technology which is the first ever report about this plant. The data is accessible via European Nucleotide Archive (ENA) under project number PRJEB18956.

Matched MeSH terms: Transcriptome
Fulltext A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk

Lu Y, Beeghly-Fadiel A, Wu L, Guo X, Li B, Schildkraut JM, et al.

Cancer Res, 2018 Sep 15;78(18):5419-5430.
PMID: 30054336 DOI: 10.1158/0008-5472.CAN-18-0951

Large-scale genome-wide association studies (GWAS) have identified approximately 35 loci associated with epithelial ovarian cancer (EOC) risk. The majority of GWAS-identified disease susceptibility variants are located in noncoding regions, and causal genes underlying these associations remain largely unknown. Here, we performed a transcriptome-wide association study to search for novel genetic loci and plausible causal genes at known GWAS loci. We used RNA sequencing data (68 normal ovarian tissue samples from 68 individuals and 6,124 cross-tissue samples from 369 individuals) and high-density genotyping data from European descendants of the Genotype-Tissue Expression (GTEx V6) project to build ovarian and cross-tissue models of genetically regulated expression using elastic net methods. We evaluated 17,121 genes for their cis-predicted gene expression in relation to EOC risk using summary statistics data from GWAS of 97,898 women, including 29,396 EOC cases. With a Bonferroni-corrected significance level of P < 2.2 × 10-6, we identified 35 genes, including FZD4 at 11q14.2 (Z = 5.08, P = 3.83 × 10-7, the cross-tissue model; 1 Mb away from any GWAS-identified EOC risk variant), a potential novel locus for EOC risk. All other 34 significantly associated genes were located within 1 Mb of known GWAS-identified loci, including 23 genes at 6 loci not previously linked to EOC risk. Upon conditioning on nearby known EOC GWAS-identified variants, the associations for 31 genes disappeared and three genes remained (P < 1.47 × 10-3). These data identify one novel locus (FZD4) and 34 genes at 13 known EOC risk loci associated with EOC risk, providing new insights into EOC carcinogenesis.Significance: Transcriptomic analysis of a large cohort confirms earlier GWAS loci and reveals FZD4 as a novel locus associated with EOC risk. Cancer Res; 78(18); 5419-30. ©2018 AACR.

Matched MeSH terms: Transcriptome*
Transcriptome-Guided Identification of Carbohydrate Active Enzymes (CAZy) from the Christmas Island Red Crab, Gecarcoidea natalis and a Vote for the Inclusion of Transcriptome-Derived Crustacean CAZys in Comparative Studies

Gan HM, Austin C, Linton S

Mar Biotechnol (NY), 2018 Oct;20(5):654-665.
PMID: 29995174 DOI: 10.1007/s10126-018-9836-2

The Christmas Island red crab, Gecarcoidea natalis, is an herbivorous land crab that consumes mostly fallen leaf litter. In order to subsist, G. natalis would need to have developed specialised digestive enzymes capable of supplying significant amounts of metabolisable sugars from this diet. To gain insights into the carbohydrate metabolism of G. natalis, a transcriptome assembly was performed, with a specific focus on identifying transcripts coding for carbohydrate active enzyme (CAZy) using in silico approaches. Transcriptome sequencing of the midgut gland identified 70 CAZy-coding transcripts with varying expression values. At least three newly discovered putative GH9 endo-β-1,4-glucanase ("classic cellulase") transcripts were highly expressed in the midgut gland in addition to the previously characterised GH9 and GH16 (β-1,3-glucanase) transcripts, and underscoring the utility of whole transcriptome in uncovering new CAZy-coding transcripts. A highly expressed transcript coding for GH5_10 previously missed by conventional screening of cellulase activity was inferred to be a novel endo-β-1,4-mannase in G. natalis with in silico support from homology modelling and amino acid alignment with other functionally validated GH5_10 proteins. Maximum likelihood tree reconstruction of the GH5_10 proteins demonstrates the phylogenetic affiliation of the G. natalis GH5_10 transcript to that of other decapods, supporting endogenous expression. Surprisingly, crustacean-derived GH5_10 transcripts were near absent in the current CAZy database and yet mining of the transcriptome shotgun assembly (TSA) recovered more than 100 crustacean GH5_10s in addition to several other biotechnological relevant CAZys, underscoring the unappreciated potential of the TSA database as a valuable resource for crustacean CAZys.

Matched MeSH terms: Transcriptome
Natural Variation in Freezing Tolerance and Cold Acclimation Response in Arabidopsis thaliana and Related Species

Zuther E, Lee YP, Erban A, Kopka J, Hincha DK

Adv Exp Med Biol, 2018 10 6;1081:81-98.
PMID: 30288705 DOI: 10.1007/978-981-13-1244-1_5

During low-temperature exposure, temperate plant species increase their freezing tolerance in a process termed cold acclimation. The molecular mechanisms involved in cold acclimation have been mostly investigated in Arabidopsis thaliana. In addition, other Brassicaceae species related to A. thaliana have been employed in recent years to study plant stress responses on a phylogenetically broader basis and in some cases with extremophile species with a much higher stress tolerance. In this paper, we briefly summarize cold acclimation responses in A. thaliana and current knowledge about cold acclimation in A. thaliana relatives with special emphasis on Eutrema salsugineum and two closely related Thellungiella species. We then present a transcriptomic and metabolomic analysis of cold acclimation in five A. thaliana and two E. salsugineum accessions that differ widely in their freezing tolerance. Differences in the cold responses of the two species are discussed.

Matched MeSH terms: Transcriptome
Development and characterization of 33 microsatellite loci for the tiger frog Hoplobatrachus rugulosus (Wiegmann 1834) through transcriptome sequencing

Chen Z, Ding G, Wang Y, Xu J, Lin Z

J Genet, 2018 Nov 14;97(5):e147-e151.
PMID: 30574879

The tiger frog Hoplobatrachus rugulosus (Wiegmann 1834) is a large robust dicroglossid frog widely distributed in southern China, Malaysia, Myanmar, Vietnam and Thailand. The escaped bred tiger frog introduced from Thailand hybridized with Chinese native population may have affected the genetic diversity of local Chinese tiger frogs. However, previous microsatellite loci of this species do not offer enough information to construct the genetic map. Here, we reported 33 new microsatellite loci from transcriptome sequencing for H. rugulosus. Alleles ranged between 1 and 10 per locus and only one locus (HRT001) was monomorphic. The polymorphic information content, observed and expected heterozygosity were 0-0.794, 0-0.969 and 0-0.831, respectively. None of the loci was observed in linkage disequilibrium and two loci (HRT023 and HRT068) deviated from Hardy-Weinberg equilibrium after Bonferroni correction for multiple tests. These transcriptome-derived microsatellite markers will be usedto study the genetic divergence and construct the genetic map in H. rugulosus.

Matched MeSH terms: Transcriptome
Identification and expression profiling of genes governing lignin biosynthesis in Casuarina equisetifolia L

Vikashini B, Shanthi A, Ghosh Dasgupta M

Gene, 2018 Nov 15;676:37-46.
PMID: 30201104 DOI: 10.1016/j.gene.2018.07.012

Casuarina equisetifolia L. is an important multi-purpose, fast growing and widely planted tree species native to tropical and subtropical coastlines of Australia, Southeast Asia, Malaysia, Melanesia, Polynesia and New Caledonia. It is a nitrogen-fixing tree mainly used for charcoal making, construction poles, landscaping, timber, pulp, firewood, windbreaks, shelterbelts, soil erosion and sand dune stabilization. Casuarina wood is presently used for paper and pulp production. Raw material with reduced lignin is highly preferred to increase the pulp yield. Hence, understanding the molecular regulation of wood formation in this tree species is vital for selecting industrially suitable phenotypes for breeding programs. The lignin biosynthetic pathway has been extensively studied in tree species like Eucalypts, poplars, pines, Picea, Betula and Acacia sp. However, studies on wood formation at molecular level is presently lacking in casuarinas. Hence, in the present study, the transcriptome of the developing secondary tissues of 15 years old Casuarina equiseitfolia subsp. equisetifolia was sequenced, de novo assembled, annotated and mapped to functional pathways. Transcriptome sequencing generated a total of 26,985 transcripts mapped to 31 pathways. Mining of the annotated data identified nine genes involved in lignin biosynthesis pathway and relative expression of the transcripts in four tissues including scale-like leaves, needle-like brachlets, wood and root were documented. The expression of CeCCR1 and CeF5H were found to be significantly high in wood tissues, while maximum expression of CeHCT was documented in stem. Additionally, CeTUBA and CeH2A were identified as the most stable reference transcript for normalization of qRT-PCR data in C. equisetifolia. The present study is the first wood genomic resource in C. equisetifolia, which will be valuable for functional genomics research in this genus.

Matched MeSH terms: Transcriptome/genetics
Blood-based dynamic genomic signature for obsessive-compulsive disorder

Wang Y, Cheng C, Zhang Z, Wang J, Wang Y, Li X, et al.

Am J Med Genet B Neuropsychiatr Genet, 2018 12;177(8):709-716.
PMID: 30350918 DOI: 10.1002/ajmg.b.32675

No biologically based diagnostic criteria are in clinical use today for obsessive-compulsive disorder (OCD), schizophrenia, and major depressive disorder (MDD), which are defined with reference to Diagnostic and Statistical Manual clinical symptoms alone. However, these disorders cannot always be well distinguished on clinical grounds and may also be comorbid. A biological blood-based dynamic genomic signature that can differentiate among OCD, MDD, and schizophrenia would therefore be of great utility. This study enrolled 77 patients with OCD, 67 controls with no psychiatric illness, 39 patients with MDD, and 40 with schizophrenia. An OCD-specific gene signature was identified using blood gene expression analysis to construct a predictive model of OCD that can differentiate this disorder from healthy controls, MDD, and schizophrenia using a logistic regression algorithm. To verify that the genes selected were not derived as a result of chance, the algorithm was tested twice. First, the algorithm was used to predict the cohort with true disease/control status and second, the algorithm predicted the cohort with disease/control status randomly reassigned (null set). A six-gene panel (COPS7A, FKBP1A, FIBP, TP73-AS1, SDF4, and GOLGA8A) discriminated patients with OCD from healthy controls, MDD, and schizophrenia in the training set (with an area under the receiver-operating-characteristic curve of 0.938; accuracy, 86%; sensitivity, 88%; and specificity, 85%). Our findings indicate that a blood transcriptomic signature can distinguish OCD from healthy controls, MDD, and schizophrenia. This finding further confirms the feasibility of using dynamic blood-based genomic signatures in psychiatric disorders and may provide a useful tool for clinical staff engaged in OCD diagnosis and decision making.

Matched MeSH terms: Transcriptome
A comparative transcriptome approach for identification of molecular changes in Aphanomyces invadans infected Channa striatus

Kumaresan V, Pasupuleti M, Arasu MV, Al-Dhabi NA, Arshad A, Amin SMN, et al.

Mol Biol Rep, 2018 Dec;45(6):2511-2523.
PMID: 30306509 DOI: 10.1007/s11033-018-4418-y

Snakehead murrel, Channa striatus is an economically important aquatic species in Asia and are widely cultured and captured because of its nutritious and medicinal values. Their growth is predominantly affected by epizootic ulcerative syndrome (EUS) which is primarily caused by an oomycete fungus, Aphanomyces invadans. However, the molecular mechanism of immune response in murrel against this infection is still not clear. In this study, transcriptome technique was used to understand the molecular changes involved in C. striatus during A. invadans infection. RNA from the control (CF) and infected fish (IF) groups were sequenced using Illumina Hi-seq sequencing technology. For control group, 28,952,608 clean reads were generated and de novo assembly was performed to produce 60,753 contigs. For fungus infected group, 25,470,920 clean reads were obtained and assembled to produce 58,654 contigs. Differential gene expression analysis revealed that a total of 146 genes were up-regulated and 486 genes were down regulated. Most of the differentially expressed genes were involved in innate immune mechanism such as pathogen recognition, signalling and antimicrobial mechanisms. Interestingly, few adaptive immune genes, especially immunoglobulins were also significantly up regulated during fungal infection. Also, the results were validated by qRT-PCR analysis. These results indicated the involvement of various immune genes involved in both innate and adaptive immune mechanism during fungal infection in C. striatus which provide new insights into murrel immune mechanisms against A. invadans.

Matched MeSH terms: Transcriptome
Fulltext RNA-seq data of the Jatropha curcas L. shoot system

Govender N, Senan S, Mohamed-Hussein ZA, Isa MNM, Yaakob Z, Ratnam W

Data Brief, 2018 Dec;21:71-74.
PMID: 30338276 DOI: 10.1016/j.dib.2018.09.081

Jatropha curcas L. or the physic nut is a monoecious shrub belonging to the Euphorbiaceae family. The plant is an ideal feedstock for biodiesel production; oil-rich seed (37-42%), has a broad range of growth habitat such as arid, semi-arid and tropical and a relatively feasible process for conversion of crude oil into biodiesel. The major constraint affecting the success of large-scale J. curcas plantation is seed yield inconsistency. Numerous research projects conducted on J. curcas with integrated genetic, genomic and transcriptomic approaches have been applied on the leaf, apical meristem, flower, root and fruit tissues. However, to date, no genomics data of J. curcas shoot system are publicly available, despite its importance in understanding flowering, fruiting and seed set qualities targeted for yield improvement. Here, we present eighteen sets of shoot and inflorescence transcriptomes generated from J. curcas plants with contrasting yields. Raw reads of the RNA-seq data are found in NCBI׳s Sequence Read Archive (SRA) database with the accession number SRP090662 (https://www.ncbi.nlm.nih.gov/sra/?term=SRP090662). This transcriptomic data could be integrated with the present genomic resources for in depth understanding of J. curcas reproductive system.

Matched MeSH terms: Transcriptome
Improved nucleic acid extraction protocols for Ganoderma boninense, G. miniatocinctum and G. tornatum

Nagappan J, Chin CF, Angel LPL, Cooper RM, May ST, Low EL

Biotechnol Lett, 2018 Dec;40(11-12):1541-1550.
PMID: 30203158 DOI: 10.1007/s10529-018-2603-7

The first and most crucial step of all molecular techniques is to isolate high quality and intact nucleic acids. However, DNA and RNA isolation from fungal samples are usually difficult due to the cell walls that are relatively unsusceptible to lysis and often resistant to traditional extraction procedures. Although there are many extraction protocols for Ganoderma species, different extraction protocols have been applied to different species to obtain high yields of good quality nucleic acids, especially for genome and transcriptome sequencing. Ganoderma species, mainly G. boninense causes the basal stem rot disease, a devastating disease that plagues the oil palm industry. Here, we describe modified DNA extraction protocols for G. boninense, G. miniatocinctum and G. tornatum, and an RNA extraction protocol for G. boninense. The modified salting out DNA extraction protocol is suitable for G. boninense and G. miniatocinctum while the modified high salt and low pH protocol is suitable for G. tornatum. The modified DNA and RNA extraction protocols were able to produce high quality genomic DNA and total RNA of ~ 140 to 160 µg/g and ~ 80 µg/g of mycelia respectively, for Single Molecule Real Time (PacBio Sequel® System) and Illumina sequencing. These protocols will benefit those studying the oil palm pathogens at nucleotide level.

Matched MeSH terms: Transcriptome
Transcriptional landscape of B cell precursor acute lymphoblastic leukemia based on an international study of 1,223 cases

Li JF, Dai YT, Lilljebjörn H, Shen SH, Cui BW, Bai L, et al.

Proc Natl Acad Sci U S A, 2018 12 11;115(50):E11711-E11720.
PMID: 30487223 DOI: 10.1073/pnas.1814397115

Most B cell precursor acute lymphoblastic leukemia (BCP ALL) can be classified into known major genetic subtypes, while a substantial proportion of BCP ALL remains poorly characterized in relation to its underlying genomic abnormalities. We therefore initiated a large-scale international study to reanalyze and delineate the transcriptome landscape of 1,223 BCP ALL cases using RNA sequencing. Fourteen BCP ALL gene expression subgroups (G1 to G14) were identified. Apart from extending eight previously described subgroups (G1 to G8 associated with MEF2D fusions, TCF3-PBX1 fusions, ETV6-RUNX1-positive/ETV6-RUNX1-like, DUX4 fusions, ZNF384 fusions, BCR-ABL1/Ph-like, high hyperdiploidy, and KMT2A fusions), we defined six additional gene expression subgroups: G9 was associated with both PAX5 and CRLF2 fusions; G10 and G11 with mutations in PAX5 (p.P80R) and IKZF1 (p.N159Y), respectively; G12 with IGH-CEBPE fusion and mutations in ZEB2 (p.H1038R); and G13 and G14 with TCF3/4-HLF and NUTM1 fusions, respectively. In pediatric BCP ALL, subgroups G2 to G5 and G7 (51 to 65/67 chromosomes) were associated with low-risk, G7 (with ≤50 chromosomes) and G9 were intermediate-risk, whereas G1, G6, and G8 were defined as high-risk subgroups. In adult BCP ALL, G1, G2, G6, and G8 were associated with high risk, while G4, G5, and G7 had relatively favorable outcomes. This large-scale transcriptome sequence analysis of BCP ALL revealed distinct molecular subgroups that reflect discrete pathways of BCP ALL, informing disease classification and prognostic stratification. The combined results strongly advocate that RNA sequencing be introduced into the clinical diagnostic workup of BCP ALL.

Matched MeSH terms: Transcriptome*
Fulltext Gene co-expression networks from RNA sequencing of dairy cattle identifies genes and pathways affecting feed efficiency

Salleh SM, Mazzoni G, Løvendahl P, Kadarmideen HN

BMC Bioinformatics, 2018 Dec 17;19(1):513.
PMID: 30558534 DOI: 10.1186/s12859-018-2553-z

BACKGROUND: Selection for feed efficiency is crucial for overall profitability and sustainability in dairy cattle production. Key regulator genes and genetic markers derived from co-expression networks underlying feed efficiency could be included in the genomic selection of the best cows. The present study identified co-expression networks associated with high and low feed efficiency and their regulator genes in Danish Holstein and Jersey cows. RNA-sequencing data from Holstein and Jersey cows with high and low residual feed intake (RFI) and treated with two diets (low and high concentrate) were used. Approximately 26 million and 25 million pair reads were mapped to bovine reference genome for Jersey and Holstein breed, respectively. Subsequently, the gene count expressions data were analysed using a Weighted Gene Co-expression Network Analysis (WGCNA) approach. Functional enrichment analysis from Ingenuity® Pathway Analysis (IPA®), ClueGO application and STRING of these modules was performed to identify relevant biological pathways and regulatory genes.
RESULTS: WGCNA identified two groups of co-expressed genes (modules) significantly associated with RFI and one module significantly associated with diet. In Holstein cows, the salmon module with module trait relationship (MTR) = 0.7 and the top upstream regulators ATP7B were involved in cholesterol biosynthesis, steroid biosynthesis, lipid biosynthesis and fatty acid metabolism. The magenta module has been significantly associated (MTR = 0.51) with the treatment diet involved in the triglyceride homeostasis. In Jersey cows, the lightsteelblue1 (MTR = - 0.57) module controlled by IFNG and IL10RA was involved in the positive regulation of interferon-gamma production, lymphocyte differentiation, natural killer cell-mediated cytotoxicity and primary immunodeficiency.
CONCLUSION: The present study provides new information on the biological functions in liver that are potentially involved in controlling feed efficiency. The hub genes and upstream regulators (ATP7b, IFNG and IL10RA) involved in these functions are potential candidate genes for the development of new biomarkers. However, the hub genes, upstream regulators and pathways involved in the co-expressed networks were different in both breeds. Hence, additional studies are required to investigate and confirm these findings prior to their use as candidate genes.

Matched MeSH terms: Transcriptome*
Fulltext RNA sequencing of kidney and liver transcriptome obtained from wild cynomolgus macaque (Macaca fascicularis) originating from Peninsular Malaysia

Ee Uli J, Yong CS, Yeap SK, Alitheen NB, Rovie-Ryan JJ, Mat Isa N, et al.

BMC Res Notes, 2018 Dec 22;11(1):923.
PMID: 30577850 DOI: 10.1186/s13104-018-4014-1

OBJECTIVE: Using high-throughput RNA sequencing technology, this study aimed to sequence the transcriptome of kidney and liver tissues harvested from Peninsular Malaysia cynomolgus macaque (Macaca fascicularis). M. fascicularis are significant nonhuman primate models in the biomedical field, owing to the macaque's biological similarities with humans. The additional transcriptomic dataset will supplement the previously described Peninsular Malaysia M. fascicularis transcriptomes obtained in a past endeavour.
RESULTS: A total of 75,350,240 sequence reads were obtained via Hi-seq 2500 sequencing technology. A total of 5473 significant differentially expressed genes were called. Gene ontology functional categorisation showed that cellular process, catalytic activity, and cell part categories had the highest number of expressed genes, while the metabolic pathways category possessed the highest number of expressed genes in the KEGG pathway analysis. The additional sequence dataset will further enrich existing M. fascicularis transcriptome assemblies, and provide a dataset for further downstream studies.

Matched MeSH terms: Transcriptome
Fulltext Evolutionary and genomic analysis of the caleosin/peroxygenase (CLO/PXG) gene/protein families in the Viridiplantae

Rahman F, Hassan M, Rosli R, Almousally I, Hanano A, Murphy DJ

PLoS One, 2018;13(5):e0196669.
PMID: 29771926 DOI: 10.1371/journal.pone.0196669

Bioinformatics analyses of caleosin/peroxygenases (CLO/PXG) demonstrated that these genes are present in the vast majority of Viridiplantae taxa for which sequence data are available. Functionally active CLO/PXG proteins with roles in abiotic stress tolerance and lipid droplet storage are present in some Trebouxiophycean and Chlorophycean green algae but are absent from the small number of sequenced Prasinophyceaen genomes. CLO/PXG-like genes are expressed during dehydration stress in Charophyte algae, a sister clade of the land plants (Embryophyta). CLO/PXG-like sequences are also present in all of the >300 sequenced Embryophyte genomes, where some species contain as many as 10-12 genes that have arisen via selective gene duplication. Angiosperm genomes harbour at least one copy each of two distinct CLO/PX isoforms, termed H (high) and L (low), where H-forms contain an additional C-terminal motif of about 30-50 residues that is absent from L-forms. In contrast, species in other Viridiplantae taxa, including green algae, non-vascular plants, ferns and gymnosperms, contain only one (or occasionally both) of these isoforms per genome. Transcriptome and biochemical data show that CLO/PXG-like genes have complex patterns of developmental and tissue-specific expression. CLO/PXG proteins can associate with cytosolic lipid droplets and/or bilayer membranes. Many of the analysed isoforms also have peroxygenase activity and are involved in oxylipin metabolism. The distribution of CLO/PXG-like genes is consistent with an origin >1 billion years ago in at least two of the earliest diverging groups of the Viridiplantae, namely the Chlorophyta and the Streptophyta, after the Viridiplantae had already diverged from other Archaeplastidal groups such as the Rhodophyta and Glaucophyta. While algal CLO/PXGs have roles in lipid packaging and stress responses, the Embryophyte proteins have a much wider spectrum of roles and may have been instrumental in the colonisation of terrestrial habitats and the subsequent diversification as the major land flora.

Matched MeSH terms: Transcriptome/genetics
Fulltext Comparative genomic and transcriptomic analysis of selected fatty acid biosynthesis genes and CNL disease resistance genes in oil palm

Rosli R, Amiruddin N, Ab Halim MA, Chan PL, Chan KL, Azizi N, et al.

PLoS One, 2018;13(4):e0194792.
PMID: 29672525 DOI: 10.1371/journal.pone.0194792

Comparative genomics and transcriptomic analyses were performed on two agronomically important groups of genes from oil palm versus other major crop species and the model organism, Arabidopsis thaliana. The first analysis was of two gene families with key roles in regulation of oil quality and in particular the accumulation of oleic acid, namely stearoyl ACP desaturases (SAD) and acyl-acyl carrier protein (ACP) thioesterases (FAT). In both cases, these were found to be large gene families with complex expression profiles across a wide range of tissue types and developmental stages. The detailed classification of the oil palm SAD and FAT genes has enabled the updating of the latest version of the oil palm gene model. The second analysis focused on disease resistance (R) genes in order to elucidate possible candidates for breeding of pathogen tolerance/resistance. Ortholog analysis showed that 141 out of the 210 putative oil palm R genes had homologs in banana and rice. These genes formed 37 clusters with 634 orthologous genes. Classification of the 141 oil palm R genes showed that the genes belong to the Kinase (7), CNL (95), MLO-like (8), RLK (3) and Others (28) categories. The CNL R genes formed eight clusters. Expression data for selected R genes also identified potential candidates for breeding of disease resistance traits. Furthermore, these findings can provide information about the species evolution as well as the identification of agronomically important genes in oil palm and other major crops.

Matched MeSH terms: Transcriptome*
Fulltext Integrated Characterization of MicroRNA and mRNA Transcriptome in Papillary Thyroid Carcinoma

Mohamad Yusof A, Jamal R, Muhammad R, Abdullah Suhaimi SN, Mohamed Rose I, Saidin S, et al.

Front Endocrinol (Lausanne), 2018;9:158.
PMID: 29713312 DOI: 10.3389/fendo.2018.00158

The incidence rate of papillary thyroid carcinoma (PTC) has rapidly increased in the recent decades, and the microRNA (miRNA) is one of the potential biomarkers in this cancer. Despite good prognosis, certain features such as lymph node metastasis (LNM) and BRAF V600E mutation are associated with a poor outcome. More than 50% of PTC patients present with LNM and BRAF V600E is the most common mutation identified in this cancer. The molecular mechanisms underlying these features are yet to be elucidated. This study aims to elucidate miRNA-genes interaction networks in PTC with or without LNM and to determine the association of BRAF V600E mutation with miRNAs and genes expression profiles. Next generation sequencing was performed to characterize miRNA and gene expression profiles in 20 fresh frozen tumor and the normal adjacent tissues of PTC with LNM positive (PTC LNM-P) and PTC without LNM (PTC LNN). BRAF V600E was genotyped using Sanger sequencing. Bioinformatics integration and pathway analysis were performed to determine the regulatory networks involved. Based on network analysis, we then investigated the association between miRNA and gene biomarkers, and pathway enrichment analysis was performed to study the role of candidate biomarkers. We identified 138 and 43 significantly deregulated miRNAs (adjusted p value

Matched MeSH terms: Transcriptome
Fulltext Integrative machine learning analysis of multiple gene expression profiles in cervical cancer

Tan MS, Chang SW, Cheah PL, Yap HJ

PeerJ, 2018;6:e5285.
PMID: 30065881 DOI: 10.7717/peerj.5285

Although most of the cervical cancer cases are reported to be closely related to the Human Papillomavirus (HPV) infection, there is a need to study genes that stand up differentially in the final actualization of cervical cancers following HPV infection. In this study, we proposed an integrative machine learning approach to analyse multiple gene expression profiles in cervical cancer in order to identify a set of genetic markers that are associated with and may eventually aid in the diagnosis or prognosis of cervical cancers. The proposed integrative analysis is composed of three steps: namely, (i) gene expression analysis of individual dataset; (ii) meta-analysis of multiple datasets; and (iii) feature selection and machine learning analysis. As a result, 21 gene expressions were identified through the integrative machine learning analysis which including seven supervised and one unsupervised methods. A functional analysis with GSEA (Gene Set Enrichment Analysis) was performed on the selected 21-gene expression set and showed significant enrichment in a nine-potential gene expression signature, namely PEG3, SPON1, BTD and RPLP2 (upregulated genes) and PRDX3, COPB2, LSM3, SLC5A3 and AS1B (downregulated genes).

Matched MeSH terms: Transcriptome
Fulltext Molecular attributes and apoptosis-inducing activities of a putative serine protease isolated from Tiger Milk mushroom (Lignosus rhinocerus) sclerotium against breast cancer cells in vitro

Yap HYY, Tan NH, Ng ST, Tan CS, Fung SY

PeerJ, 2018;6:e4940.
PMID: 29888137 DOI: 10.7717/peerj.4940

Background: The highly valued medicinal tiger milk mushroom (also known as Lignosus rhinocerus) has the ability to cure numerous ailments. Its anticancer activities are well explored, and recently a partially purified cytotoxic protein fraction termed F5 from the mushroom's sclerotial cold water extract consisting mainly of fungal serine proteases was found to exhibit potent selective cytotoxicity against a human breast adenocarcinoma cell line (MCF7) with IC50 value of 3.00 μg/ml. However, characterization of its cell death-inducing activity has yet to be established.
Methods: The mechanism involved in the cytotoxic activities of F5 against MCF7 cells was elucidated by flow cytometry-based apoptosis detection, caspases activity measurement, and expression profiling of apoptosis markers by western blotting. Molecular attributes of F5 were further mined from L. rhinocerus's published genome and transcriptome for future exploration.
Results and Discussion: Apoptosis induction in MCF7 cells by F5 may involve a cross-talk between the extrinsic and intrinsic apoptotic pathways with upregulation of caspase-8 and -9 activities and a marked decrease of Bcl-2. On the other hand, the levels of pro-apoptotic Bax, BID, and cleaved BID were increased accompanied by observable actin cleavage. At gene level, F5 composed of three predicted non-synonymous single nucleotide polymorphisms (T > C) and an alternative 5' splice site.
Conclusions: Findings from this study provide an advanced framework for further investigations on cancer therapeutics development from L. rhinocerus.

Matched MeSH terms: Transcriptome
Fulltext Platelet Transcriptome-based approaches in the fight against dengue and other diseases

Suppiah, J., Sakinah, S., Chan, S.Y., Wong, Y.P., Subbiah, S.K., Chee, H.Y., et al.

Pertanika Journal of Science & Technology, 2018;26(3):933-946.
MyJurnal

Human platelets are anucleate cells that lack in deoxyribonucleic acid (DNA), thus hampering genomic study on them. However, the presence of their own messenger ribonucleic acid (mRNA) transcript allows functional study via the transcriptome approach. Transcriptome not only allows profiling of platelet but also aids in studying gene regulation in virus infections and other diseases that have an impact on platelets. Some viruses are known to affect the platelet either by causing a reduction or destruction. Dengue virus is one of the most postulated virus having such effect and frequently linked to platelet reduction. The transcriptome approach has a pivotal role in providing a deeper insight to link certain diseases and their effect on platelets. This review critically discusses role of platelet in dengue and other viral diseases of public health relevance, with a specific focus on the methods currently used in platelet transcriptome profiling.

Matched MeSH terms: Transcriptome
A High-throughput Quantitative Expression Analysis of Cancer-related Genes in Human HepG2 Cells in Response to Limonene, a Potential Anticancer Agent

Hafidh RR, Hussein SZ, MalAllah MQ, Abdulamir AS, Abu Bakar F

Curr Cancer Drug Targets, 2018;18(8):807-815.
PMID: 29141549 DOI: 10.2174/1568009617666171114144236

BACKGROUND: Citrus bioactive compounds, as active anticancer agents, have been under focus by several studies worldwide. However, the underlying genes responsible for the anticancer potential have not been sufficiently highlighted.
OBJECTIVES: The current study investigated the gene expression profile of hepatocellular carcinoma, HepG2, cells after treatment with Limonene.
METHODS: The concentration that killed 50% of HepG2 cells was used to elucidate the genetic mechanisms of limonene anticancer activity. The apoptotic induction was detected by flow cytometry and confocal fluorescence microscope. Two of the pro-apoptotic events, caspase-3 activation and phosphatidylserine translocation were manifested by confocal fluorescence microscopy. Highthroughput real-time PCR was used to profile 1023 cancer-related genes in 16 different gene families related to the cancer development.
RESULTS: In comparison to untreated cells, limonene increased the percentage of apoptotic cells up to 89.61%, by flow cytometry, and 48.2% by fluorescence microscopy. There was a significant limonene- driven differential gene expression of HepG2 cells in 15 different gene families. Limonene was shown to significantly (>2log) up-regulate and down-regulate 14 and 59 genes, respectively. The affected gene families, from the most to the least affected, were apoptosis induction, signal transduction, cancer genes augmentation, alteration in kinases expression, inflammation, DNA damage repair, and cell cycle proteins.
CONCLUSION: The current study reveals that limonene could be a promising, cheap, and effective anticancer compound. The broad spectrum of limonene anticancer activity is interesting for anticancer drug development. Further research is needed to confirm the current findings and to examine the anticancer potential of limonene along with underlying mechanisms on different cell lines.

Matched MeSH terms: Transcriptome

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