Gene expression profiling of the rat sciatic nerve in early Wallerian degeneration after injury

Wallerian degeneration is an important area of research in modern neuroscience. A large number of genes are differentially regulated in the various stages of Wallerian degeneration, especially during the early response. In this study, we analyzed gene expression in early Wallerian degeneration of the distal nerve stump at 0, 0.5, 1,6, 12 and 24 hours after rat sciatic nerve injury using gene chip microarrays. We screened for differentially-expressed genes and gene expression patterns. We examined the data for Gene Ontology, and explored the Kyoto EncycLopedia of Genes and Genomes Pathway. This allowed us to identify key regulatory factors and recurrent network motifs. We identified 1 546 differentially-expressed genes and 21 distinct patterns ofgene expression in early Wallerian degeneration, and an enrichment of genes associated with the immune response, acute inflammation, apoptosis, cell adhesion, ion transport and the extracellular matrix. Kyoto Encyclopedia of Genes and Genomes pathway analysis revealed components involved in the Jak-STAT, ErbB, transforming growth factor-13, T cell receptor and calcium signaling pathways. Key factors included interleukin-6, interleukin-1, integrin, c-sarcoma, carcinoembryonic antigen-related cell adhesion molecules, chemokine （C-C motif） ligand, matrix metalloproteinase, BH3 interacting domain death agonist, baculoviral lAP repeat-containing 3 and Rac. The data were validated with real-time quantitative PCR. This study provides a global view of gene expression profiles in eady Wallerian degeneration of the rat sciatic nerve. Our findings provide insight into the molecular mechanisms underlying early Wallerian degeneration, and the regulation of nerve degeneration and regeneration.

Characterization of the 19 Novel Cotton FLA Genes and Their Expression Profiling in Fiber Development and in Response to Phytohormones and Salt Stress

Fasciclin-like arabinogalactan proteins(FLAs),a subclass of arabinogalactan proteins(AGPs),are usually involved in cell development in plants.To investigate the expression profiling as well

Expression Profiling Identifies Candidate Genes for Fiber Yield and Quality

Gene expression profiling at early stages(0～2 DPA) of fiber development in Gossypium hirsutum identified a number of transcription factors which were down regulated in fiberless mutants relative to wild type controls and which could play a role in controlling early fiber development.Chief among these was GhMYB25,a Mixta-like MYB gene.Transgenic GhMYB25-silenced cotton

Comprehensive genomic analysis and expression profiling of cysteine-rich polycomb-like transcription factor gene family in tea tree

Cysteine-rich polycomb-like(CPP)is a small gene family in plants,which plays key role in plant development and stress response.Although CPP transcription factors have been characterized in several other plant species,a genome-wide characterization of the CPP gene family has been absent in Camellia sinensis.In this study,we totally identified 7,8,and 8 non-redundant CsCPP genes in three published genomes,including Camellia sinensis var.assamica cv.Yunkang-10(CSA-YK10),Camellia sinensis var.sinensis cv.Biyun(CSS-BY)and Camellia sinensis var.sinensis cv.Shuchazao(CSS-SCZ).CPP proteins from tea tree and other plant species were classified into three groups,which were further divided into four subgroups based on phylogenetic relationships.Most CPP genes in the same subgroup had similar gene structures and conserved motifs.The cis-acting elements analysis indicated that CPP genes might be involved in plant growth,development and stress responses.Analysis of gene expression using qRT-PCR experiments validated that CPP genes exhibited different expression patterns across the examined tissues.All the genes were expressed differentially in a range of tissues,indicating that CPPs were involved in a range of developmental and physiological processes.This study has obtained new insights into the evolution and function of the CPP gene family in the growth and development of tea plants,and also provide candidate genes for further functional characterization in tea tree.

Discovery of molecular associations among aging, stem cells, and cancer based on gene expression profiling

The emergence of a huge volume of "omics" data enables a computational approach to the investigation of the biology of cancer. The cancer informatics approach is a useful supplement to the traditional experimental approach. I reviewed several reports that used a bioinformatics approach to analyze the associations among aging, stem cells, and cancer by microarray gene expression profiling. The high expression of aging- or human embryonic stem cell-related molecules in cancer suggests that certain important mechanisms are commonly underlying aging, stem cells, and cancer. These mechanisms are involved in cell cycle regulation, metabolic process, DNA damage response, apoptosis, p53 signaling pathway, immune/inflammatory response, and other processes, suggesting that cancer is a developmental and evolutional disease that is strongly related to aging. Moreover, these mechanisms demonstrate that the initiation, proliferation, and metastasis of cancer are associated with the deregulation of stem cells. These findings provide insights into the biology of cancer. Certainly, the findings that are obtained by the informatics approach should be justified by experimental validation. This review also noted that next-generation sequencing data provide enriched sources for cancer informatics study.

Gene and protein expression profiling analysis of young spike development in large spike wheat germplasms

The wheat grain number per spike （GNPS） is a major yield-limiting factor in wheat-breeding programs. Germplasms with a high GNPS are therefore valuable for increasing wheat yield potential. To investigate the molecular characteristics of young spike development in large-spike wheat germplasms with high GNPS, we performed gene and protein expression profiling analysis with three high-GNPS wheat lines （Pubing 3228, Pubing 3504 and 4844-12） and one Iow-GNPS control variety （Fukuho）. The phenotypic data for the spikes in two growth seasons showed that the GNPS of the three large-spike wheat lines were significantly higher than that of the Fukuho control line. The Affymetrix wheat chip and isobaric tags for relative and absolute quantitation-tandam mass spectrometry （iTRAQ-MS/MS） technology were employed for gene and protein expression profiling analyses of young spike development, respectively, at the floret primordia differentiation stage. A total of 598 differentially expressed transcripts （270 up-regulated and 328 down-regulated） and 280 proteins （122 up- regulated and 158 down-regulated） were identified in the three high-GNPS lines compared with the control line. We found that the expression of some floral development-related genes, including Wknoxlb, the AP2 domain protein kinase and the transcription factor HUA2, were up-regulated in the high-GNPS lines. The expression of the SHEPHERD （SHD） gene was up-regulated at both the transcript and protein levels. Overall, these results suggest that multiple regulatory pathways, including the CLAVATA pathway and the meristem-maintaining KNOX protein pathway, take part in the development of the high-GNPS phenotype in our wheat germplasms.

Genome-wide identification and expression profiling of MYB transcription factor genes in radish(Raphanus sativus L.)

Radish(Raphanus sativus L.), an important root vegetable crop of the Brassicaceae family, has a high level of anthocyanin accumulation in its pigment root tissues. It was reported that MYB transcription factors(TFs) play vital roles in plant development and anthocyanin metabolism, and the PAP1/2 could promote expression of anthocyanin biosynthesis genes. In this study, a total of 187 radish MYB genes(Rs MYBs) were identified in the radish genome and clustered into 32 subfamilies. Among them, 159 Rs MYBs were localized on nine radish chromosomes. Interestingly, 14 Rs MYBs exhibited differential expression profiles in different taproot developmental stages among four differently colored radish lines. A number of Rs MYBs were highly expressed in the pigmented root tissues at the maturity stage, several genes including Rs MYB41, Rs MYB117, and Rs MYB132 being homologous to PAP1/2, showed high expression levels in the red skin of NAU-YH(red skin-white flesh) taproot, while Rs MYB65 and Rs MYB159 were highly expressed in the purple root skin of NAU-YZH(purple skin-red flesh), indicating that these Rs MYBs might positively regulate the process of anthocyanin accumulation in radish taproot. These results would provide valuable information for further functional characterization of Rs MYBs, and facilitate clarifying the molecular mechanism underlying anthocyanin biosynthesis in radish.

GENE EXPRESSION PROFILING OF HUMAN PROMYELOCYTIC LEUKEMIA HL-60 CELL TREATED BY AJOENE

Objective: Ajoene, a major compound extracted from crashed garlic, has been shown to have antitumor, antimycotic, antimicrobial, antimutagenic functions in vivo or in vitro and treated as a potential antitumor drug. However, the molecular mechanisms underlying the tumor cytotoxicity of ajoene and even garlic substances are poorly defined. In the present study, we aimed to generate gene expression profiles of HL-60 cell treated by ajoene. Methods: A cDNA microarray presenting 2400 of genes amplified from human leukocyte cDNA library was constructed and the gene expression profiles of HL-60 cell induced by ajoene were generated. Results: After data analysis, 28 differentially expressed genes were identified and sequenced. These genes include 21 known genes and 7 ESTs. Most of the known genes are related to cell apoptosis, such as secretory granule (PRG1), beta-2 microglobulin (B2M), 16S ribosomal RNA gene and ribosomal protein S12. Several genes are related to cell differentiation, including the genes similar to H3 histone and ribosomal protein L31. Northern blot analysis was used to verify and quantify the expression of selected genes. Conclusion: Ajoene can induce HL-60 cell apoptosis significantly and may play a role in differentiation. cDNA microarray technology can be a valuable tool to gain insight into molecular events of pharmacological mechanism of herbal medicine.

GENE EXPRESSION PROFILING OF GANGLIOGLIOMA MALIGNANT PROGRESSION BY cDNA ARRAY

Objective: To establish gene expression profiles associated with malignant progression of ganglioglioma. Methods: The primary and two recurrent glioma specimens were collected intraoperatively from the same patient who experienced tumor transformation into anaplastic astrocytoma and glioblastoma multiform for the first and second recurrence respectively. Gene expression was assayed through cDNA array and bioinformatics analysis. Results: A total of 197 differentially expressed genes with differential ratio value more than 3 compared with normal brain tissue were obtained. Among 109 functionally denned genes, those associated with development ranked the first by frequency, followed by genes associated with metabolism, differentiation, signal transduction and so on. As a result of cluster analysis among 368 genes, eleven genes were up regulated with malignant progression, while six genes were down regulated. Conclusion: Gene expression profiles associated with malignant progression of glioma were successfully established, which provides a powerful tool for research on molecular mechanisms of malignant progression of gliomas.

Gene Expression Profiling of the Mouse Pancreas during the Secondary Transition in the Organogenesis of the Pancreatic Gland*

Diabetes mellitus is a chronic disease that impacts the homeostasis of blood sugar levels caused by loss or defect of insulin-producing β-cells in the Islets of Langerhans. Type 1 diabetes (T1D) is caused by auto-immune mediated destruction of β-cells, whereas in T2D, insulin is produced but used inefficiently. T2D accounts for 90% of people with diabetes worldwide (WHO 1999) and is the fastest increasing disease worldwide (https://diabetesatlas.org/en/). For an improved understanding of the pathomechanism of diabetes, profound knowledge of pancreas organogenesis and the associated gene regulatory networks is required. Therefore, we dissected and profiled the pancreatic endodermal and non-endodermal compartment between the embryonic stages (E) 12.5 and E 15.5 when progenitor cells commit to their different pancreatic lineages. Our associated study mined the global mRNA expression profile to increase the understanding of the secondary transition, endodermal-non-endodermal tissue interaction, and diabetic-related gene regulation. Furthermore, we validated 635 regulated pancreatic genes using the publicly available GenePaint.org, respective gp3.mpg.de to evaluate genes associated with genetic variants in Single-nucleotide polymorphism (SNP) related to T2D.

Expression Profiling of Hereditary versus Sporadic Prostate Cancer Suggests CYR61, EGR3, KLF6 and SNF1LK as Differentially Expressed Genes

Background: Distinguishing between sub-clinical and aggressive forms of prostate cancer is difficult due to the heterogeneity of the disease. It is, however, important to identify aggressive forms to guide proper treatment. This study compared gene expression profiles in cancer cells from hereditary and sporadic prostate cancer cases and attempted to correlate differentially regulated genes with clinico-pathological characteristics and prognosis. Materials and methods: The study population comprised patients diagnosed with clinically localized prostate cancer undergoing prostatectomy. Patients were divided into hereditary and sporadic cancer cases based on their family history. Fresh frozen biopsies from prostatectomy specimens were laser-dissected for RNA-extraction. Affymetrix HG-U133 Plus GeneChips were used to measure gene expression loaded onto Cluster 3.0 and Ingenuity Pathway Analysis softwares to examine the relationship among genes between groups. Differentially expressed genes were selected for protein expression analysis using immunohistochemistry on histological sections and tissue microarrays. Results: No single genes were signifycantly differentially expressed between hereditary and sporadic cases after adjustment for multiple testing. Using cluster analysis, four transcripts were found to be upregulated in hereditary prostate cancer tissue: CYR61, EGR3, KLF6 and SNF1LK. The intensity of CYR61, EGR2, KLF6 and SNF1LK immunostainings, however, were not significantly different in a separate sample of hereditary and sporadic prostate cancers. Furthermore, no correlations between CYR61, EGR2, KLF6, and SNF1LK staining intensities and the clinico-pathological variables or disease-free survival were detected, except for EGR3 that was significantly associated with T stage (p = 0.04). Conclusion: Overall, no single transcript level was significantly associated with hereditary prostate cancer. Cluster analysis suggested that the expression of CYR61, EGR3, KLF6 and SNF1LK were upregulated in cancer tissue from hereditary cases, but we were not able to confirm this on the protein level, and levels of these proteins were not found to correlate with clinico-pathological characteristics or biochemical recurrence.

Effect of Chuanzhifang component (ZGC) on macrophage inflammatory injury based on whole gene expression profile

Objective: The effect of Chuanzhi Fang (ZGC) on the whole genome expression profile of RAW264.7 cells activated by lipopolysaccharide (LPS) was analyzed, and to explore the possible mechanism of action and core target of this formula on macrophage inflammatory injury at the overall level. Methods: A model of LPS-induced inflammation in RAW264.7 cells was constructed, and the effect of ZGC intervention on the genome-wide expression of inflammatory macrophages 3was examined by gene microarray technology, GO/KEGG enrichment analysis was performed for significantly differentially expressed genes among each group. Results: The results of genome-wide expression profiling microarray analysis showed that the ZGC intervention group upregulated the expression of 5 genes including C4bp and inhibited the expression of 22 genes including Mgat3, Psma6, and Siglecg relative to the LPS model group. KEGG signaling pathway analysis results showed that ZGC mainly acted through cytokine receptor interaction and the C-type lectin receptor signaling pathway. Conclusion: ZGC can interfere with the abnormal expression of 27 genes in inflammatory macrophages, and the related genes may exert corresponding anti-inflammatory effects by affecting cytokine receptor interactions, C-type lectin receptor signaling pathway, and TLR4/ NF-κB signaling pathway.

Identification,bioinformatic analysis and expression profiling of candidate mRNA-like non-coding RNAs in Sus scrofa

Messenger RNA-like non-coding RNAs （mlncRNAs） are a newly identified group of non-coding RNAs （ncRNAs） that may be involved in a number of critical cellular events. In this study, 93 candidate porcine mlncRNAs were obtained by computational prediction and screening, among which 72 were mapped to the porcine genome. Further analysis of 8 representative candidates revealed that these mlncRNA candidates are not highly conserved among species. Remarkably, one of the candidates, sTF35495, was found to be precursor of a putative porcine microRNA. By RACE PCR, we determined that the full length of sTF35495 was 3 kb. The protein-coding potential of this RNA was tested in silico with no significant finding. Semi-quantitative RT-PCR analysis of the subgroup of 8 candidates revealed two distinct expression profiles and two molecules were further validated by real-time PCR. The predicted pre-microRNA sequence in this study provides a potentially interesting insight into the in vivo function of porcine mlncRNAs and our findings suggest that they play key biological roles in Sus scrofa.

Gene Expression Profiling of Human Epidermal Keratinocytes in Simulated Microgravity and Recovery Cultures

Simulated microgravity （SMG） bioreactors and DNA microarray technology are powerful tools to identify ＂space genes＂ that play key roles in cellular response to microgravity. We applied these biotechnology tools to investigate SMG and post-SMG recovery effects on human epidermal keratinocytes by exposing cells to SMG for 3, 4, 9, and 10 d using the high aspect ratio vessel bioreactor followed by recovery culturing for 15, 50, and 60 d in normal gravity. As a result, we identified 162 differentially expressed genes, 32 of which were ＂center genes＂ that were most consistently affected in the time course experiments. Eleven of the center genes were from the integrated stress response pathways and were coordinately downregulated. Another seven of the center genes, which are all metallothionein MT-Ⅰ and MT-Ⅱ isoforms, were coordinately up-regulated. In addition, HLA-G, a key gene in cellular immune response suppression, was found to be significantly upregulated during the recovery phase. Overall, more than 80% of the differentially expressed genes from the shorter exposures （≤4 d） recovered in 15 d; for longer （≥9 d） exposures, more than 50 d were needed to recover to the impact level of shorter exposures. The data indicated that shorter SMG exposure duration would lead to quicker and more complete recovery from the microgravity effect.

Molecular subtypes identified by gene expression profiling in early stage endometrioid endometrial adenocarcinoma

Background Early stage （FIGO stage Ⅰ-Ⅱ） endometrioid endometrial adenocarcinoma （EEA） is very common in clinical practice.However,patients with the early stage EEA show various clinical behaviors due to biological heterogeneity.Hence,we aimed to discover distinct classes of tumors based on gene expression profiling,and analyze whether the molecular classification correlated with the histopathological stages or other clinical parameters.Methods Hierarchical clustering was performed for class discovery in 28 eady stage EEA samples using a special cDNA microarray chip containing 492 genes designed for endometrial cancer.Correlations between clinicopathologic parameters and our classification were analyzed.And the significance analysis of microarrays （SAM） array was used to identify the signature genes according to the tumor grade and myometrial invasion.Results Three tumor subtypes （subtypes Ⅰ,Ⅱ and Ⅲ） were identified by hierarchical clustering,each subtype had different clinicopathological factors,such as tumor grade,myometrial invasion status,and FIGO stage.Moreover,SAM analysis showed 34 up-regulated genes in high grade tumors,and 38 up-regulated genes and 1 down-regulated in deep myometrial invasive tumors.The overlap genes between these two high-risk factors were markedly up-regulated in subtype Ⅰ,but down-regulated in subtype Ⅲ.Conclusion We have identified novel molecular subtypes in early stage EEA.Differential gene signatures characterize each tumor subtype,which could be used for recognizing the tumor risk and providing a basis for further treatment stratification.

Comparative analysis of cytochrome P450-like genes from Locusta migratoria manilensis： expression profiling and response to insecticide exposure

The cytochrome P450 monooxygenase （cytochrome P450） gene superfamily comprises many genes that may be involved in the biotransformations of pesticides and other xenobiotics. To date, very little is known about cytochrome P450 genes in the oriental migratory locust, Locusta migratoria manilensis. In this study, we carried out a genomewide analysis ofcytochrome P450 genes of the locust to identify putative cytochrome P450 genes and characterize their expression responses to insecticide exposures. We identified 15 cytochrome P450-1ike genes from a locust expressed sequence tag database （LocustDB）. Reverse transcription polymerase chain reaction （RT-PCR） analysis showed that most cytochrome P450-1ike genes displayed different tissue and developmental stage expression patterns. However, most of them were predominantly expressed in the midgnt, gastric caeca, fatbodies, and/or hindgut. Biochemical analysis showed that cytochrome P450 was differentially affected by three different insecticides. Deltamethrin caused significant inductions in 12 h at LD30 （dose to kill 30% of the tested individuals） in the nymphs, whereas malathion and carbaryl did not have significant effect on cytochrome P450 enzyme activity. Further RT-PCR analysis Showed significant increases of transcriptions of several cytochrome P450 genes in deltamethrin-treated locusts. Thus, the increased cytochrome P450 enzyme activity is likely due to increased transcriptions of multiple cytochrome P450 genes in response to deltamethrin exposure. These results are expected to help us better understand the interactions between insecticides and major detoxification enzymes, and possible changes of the susceptibility to other insecticides in deltamethrin-treated insects at various molecular levels.

Gene expression profiling of Puccinia striiformis f.sp.tritici during development reveals a highly dynamic transcriptome

Puccinia striiformis f. sp. tritici （PsO causes stripe rust, one of the most important diseases of wheat worldwide, cDNA libraries had been constructed from urediniospores, germinated urediniospores and haustoria. However, little is known about the expression patterns of the genes related to the infection process and sporulation of the pathogen. In this study, a custom oligonucleotide microarray was constructed using sequences of 442 gene transcripts selected from Pst cDNA libraries. The expression patterns of the genes were determined by hybridizing the microarray with cDNA from Pst in vitro and Pst-infected wheat leaves. The time course study identified 55 transcripts that were differentially expressed during the infection process in a compatible interaction. They were identified to have functions related to the following biological processes, including carbohydrate and lipid metabolism, energy, cell signaling, protein synthesis, cell structure and division. In an incompatible interaction, 17 transcripts of the pathogen were differentially expressed in resistant wheat leaves inoculated with an avirulent Pst race, ten of which had similar expression patterns to those in the compatible interaction. Several candidates for pathogenicity and virulence/avirulence related genes were also identified. The results of quantitative real-time PCR validated the expression patterns of some selected genes. The study demonstrates that the custom oligonucleotide microarray technology is useful to determine the expression patterns of the pathogen genes involved in different types of the host--pathogen interactions and stages of development.

MP3RNA-seq:Massively parallel 3’end RNA sequencing for high-throughput gene expression profiling and genotyping

Transcriptome deep sequencing(RNA‐seq)hasbecome a routine method for global geneexpression profiling.However,its application tolarge‐scale experiments remains limited by costand labor constraints.Here we describe amassively parallel 3′end RNA‐seq(MP3RNA‐seq)method that introduces unique samplebarcodes during reverse transcription to permitsample pooling immediately following this initialstep.MP3RNA‐seq allows for handling of hun-dreds of samples in a single experiment,at acost of about$6 per sample for libraryconstruction and sequencing.MP3RNA‐seq iseffective for not only high‐throughput geneexpression profiling,but also genotyping.Todemonstrate its utility,we applied MP3RNA‐seqto 477 double haploid lines of maize.We iden-tified 19,429 genes expressed in at least 50%ofthe lines and 35,836 high‐quality singlenucleotide polymorphisms for genotypinganalysis.Armed with these data,we performedexpression and agronomic trait quantitativetrait locus(QTL)mapping and identified 25,797expression QTLs for 15,335 genes and 21 QTLsfor plant height,ear height,and relative earheight.We conclude that MP3RNA‐seq is highlyreproducible,accurate,and sensitive forhigh‐throughput gene expression profiling andgenotyping,and should be generally applicableto most eukaryotic species.

Gene expression profiling as a prognostic tool in multiple myeloma

Multiple myeloma(MM)is an aggressive plasma cell malignancy with high degrees of variability in outcome,some patients experience long remissions,whilst others survive less than two years from diagnosis.Therapy refractoriness and relapse remain challenges in MM management,and there is a need for improved prognostication and targeted therapies to improve overall survival(OS).The past decade has seen a surge in gene expression profiling(GEP)studies which have elucidated the molecular landscape of MM and led to the identification of novel gene signatures that predict OS and outperform current clinical predictors.In this review,we discuss the limitations of current prognostic tools and the emerging role of GEP in diagnostics and in the development of personalised medicine approaches to combat drug resistance.

Analysis of Pathway Activity in Primary Tumors and NCI60 Cell Lines Using Gene Expression Profiling Data

To determine cancer pathway activities in nine types of primary tumors and NCI60 cell lines, we applied an in silico approach by examining gene signatures reflective of consequent pathway activation using gene expression data. Supervised learning approaches predicted that the Ras pathway is active in -70% of lung adenocarcinomas but inactive in most squamous cell carcinomas, pulmonary carcinoids, and small cell lung carcinomas. In contrast, the TGF-β, TNF-α, Src, Myc, E2F3, and β-catenin pathways are inactive in lung adenocarcinomas. We predicted an active Ras, Myc, Src, and/or E2F3 pathway in significant percentages of breast cancer, colorectal carcinoma, and gliomas. Our results also suggest that Ras may be the most prevailing oncogenic pathway. Additionally, many NCI60 cell lines exhibited a gene signature indicative of an active Ras, Myc, and/or Src, but not E2F3, β-catenin, TNF-α, or TGF-β pathway. To our knowledge, this is the first comprehensive survey of cancer pathway activities in nine major tumor types and the most widely used NCI60 cell lines. The ＂gene expression pathway signatures＂ we have defined could facilitate the understanding of molecular mechanisms in cancer development and provide guidance to the selection of appropriate cell lines for cancer research and pharmaceutical compound screening.