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PubMed2005

Emerging issues of the expression profiling technologies for the study of gynecologic cancer.

Evaluation of the prognostic parameters of gynecologic cancer has shown their failure for classification according to the clinical behavior or the prediction of its outcome. This weakness has important implications on prognosis and treatment. The increasing understanding of the complexity of the human genome, coupled with the development of high throughput analysis techniques and bioinformatics tools, has changed our concepts on cancer biology, by shifting our targets to a global analysis of the transcriptome and the proteome, linking genes and their products into functional pathways. These approaches permit the documentation of expression patterns of thousands of genes within a cell. With the use of DNA microarray technology, it is feasible to identify signature patterns of expression in tumor samples that faithfully correlate with its biology, providing accurate prognosis for each cancer patient and thus a rational customized treatment. At this stage, there is a need for systematic studies for the validation of these novel approaches. In this review, we provide a basic background of the concept of the technology, highlight several emerging issues from their applications on gynecologic cancer, discuss a series of important themes and problems regarding their interpretation and relevance for the clinicians, and comment on future areas of research.

Computational Biology↗
PubMed2025

Cr3a, a candidate gene conferring fruit cracking resistance, was fine-mapped in an introgression line of Solanum lycopersicum L.

In the cultivation and production of tomato (Solanum lycopersicum L.), fruit cracking is a prevalent and detrimental issue that significantly impacts the esthetic quality and commercial value of the fruit. The complexity of the trait has resulted in a slow advancement in research aimed at identifying genes that influence tomato fruit cracking and the underlying regulatory mechanisms. In this study, a sub-introgression population for tomato crack-resistant fruit has been constructed from the cross between S. lycopersicum 1052 and Solanum pennellii LA0716, followed by 11 generations of selfing. Utilizing specifically designed InDel markers, the tomato crack-resistant gene, Cr3a, was fine-mapped, cloned, and its functionality was confirmed through transgenic and gene-knockout approaches. The precise localization of Cr3a was delineated to a 30 kb genomic region on chromosome 3, corresponding to the gene Sopen03g034650 in S. pennellii and Solyc03g115660.3 in the Heinz1706 variety. An integrated transcriptomic and metabolomic analysis of fruits with and without the Cr3a gene was finally conducted to elucidate the intricate regulatory mechanisms associated with Cr3a. The findings revealed a molecular regulatory network for tomato fruit crack resistance, characterized by 7 key metabolites, 13 pivotal genes, and 4 critical pathways: the phenylpropanoid biosynthesis pathway, the phenylalanine, tyrosine, and tryptophan biosynthesis pathway, the linolenic acid metabolism pathway, and the cysteine and methionine metabolism pathway. In summary, this research provides novel insights into the molecular underpinnings of tomato fruit crack resistance and holds substantial promise for accelerating the molecular breeding of tomatoes with enhanced fruit crack resistance.

Solanum lycopersicum↗
PubMed2004

Profiles of gene expression changes in L5178Y mouse lymphoma cells treated with methyl methanesulfonate and sodium chloride.

Treatment of cells with genotoxic chemicals is expected to set into motion a series of events including gene expression changes to cope with the damage. We have investigated gene expression changes in L5178Y TK(+/-) mouse lymphoma cells in culture following treatment with methyl methanesulfonate (MMS), a direct acting genotoxin, and sodium chloride (NaCl), which induces mutations in these cells through indirect mechanisms at high concentrations. The mouse lymphoma cells were treated for 4 or 24 h and the cells were harvested for RNA isolation at the end of the treatment. Analysis of the transcriptome was performed using Clontech Mouse 1.2K cDNA microarrays (1185 genes) and hybridized using 32P-labeled cDNA. The microwell methodology was used to quantify the mutagenic response. Of the genes examined, MMS altered the expression (1.5-fold or more) of only five (four at 4 h and one after 24 h treatment). NaCl altered two genes after 4 h treatment, but after 24 h it altered 19 genes (13 down- and six up-regulated). Both compounds altered the expression of several genes associated with apoptosis and NaCl altered genes involved in DNA damage/response and GTP-related proteins. This, along with other data, indicates that the widely used L5178Y TK(+/-) mouse lymphoma cells in culture are relatively recalcitrant in terms of modulating gene expression to deal with genotoxic insult.

Animals↗
PubMed2024

Premeiotic 24-nt phasiRNAs are present in the Zea genus and unique in biogenesis mechanism and molecular function.

Reproductive phasiRNAs (phased, small interfering RNAs) are broadly present in angiosperms and play crucial roles in sustaining male fertility. While the premeiotic 21-nt (nucleotides) phasiRNAs and meiotic 24-nt phasiRNA pathways have been extensively studied in maize (Zea mays) and rice (Oryza sativa), a third putative category of reproductive phasiRNAs-named premeiotic 24-nt phasiRNAs-have recently been reported in barley (Hordeum vulgare) and wheat (Triticum aestivum). To determine whether premeiotic 24-nt phasiRNAs are also present in maize and related species and begin to characterize their biogenesis and function, we performed a comparative transcriptome and degradome analysis of premeiotic and meiotic anthers from five maize inbred lines and three teosinte species/subspecies. Our data indicate that a substantial subset of the 24-nt phasiRNA loci in maize and teosinte are already highly expressed at the premeiotic phase. The premeiotic 24-nt phasiRNAs are similar to meiotic 24-nt phasiRNAs in genomic origin and dependence on DCL5 (Dicer-like 5) for biogenesis, however, premeiotic 24-nt phasiRNAs are unique in that they are likely i) not triggered by microRNAs, ii) not loaded by AGO18 proteins, and iii) not capable of mediating PHAS precursor cleavage. In addition, we also observed a group of premeiotic 24-nt phasiRNAs in rice using previously published data. Together, our results indicate that the premeiotic 24-nt phasiRNAs constitute a unique class of reproductive phasiRNAs and are present more broadly in the grass family (Poaceae) than previously known.

Zea mays↗
PubMed2007

Credentialing preclinical pediatric xenograft models using gene expression and tissue microarray analysis.

Human tumor xenografts have been used extensively for rapid screening of the efficacy of anticancer drugs for the past 35 years. The selection of appropriate xenograft models for drug testing has been largely empirical and has not incorporated a similarity to the tumor type of origin at the molecular level. This study is the first comprehensive analysis of the transcriptome of a large set of pediatric xenografts, which are currently used for preclinical drug testing. Suitable models representing the tumor type of origin were identified. It was found that the characteristic expression patterns of the primary tumors were maintained in the corresponding xenografts for the majority of samples. Because a prerequisite for developing rationally designed drugs is that the target is expressed at the protein level, we developed tissue arrays from these xenografts and corroborated that high mRNA levels yielded high protein levels for two tested genes. The web database and availability of tissue arrays will allow for the rapid confirmation of the expression of potential targets at both the mRNA and the protein level for molecularly targeted agents. The database will facilitate the identification of tumor markers predictive of response to tested agents as well as the discovery of new molecular targets.

Cell Line, Tumor↗
PubMed2026

Insights into the mechanism of enhanced tetramethylpyrazine production in dehulled adlay fermented by Bacillus subtilis BJ3-2.

Tetramethylpyrazine (TTMP) is a vital bioactive alkaloid and characteristic flavor compound in fermented foods. Our previous study found that fermentation of adlay by Bacillus subtilis BJ3-2 efficiently accumulates TTMP, whereas the underlying high-yield mechanism remains unclear. This study investigated the fermentation characteristics, gene transcription and protein expression of B. subtilis BJ3-2 in dehulled adlay (BDA) and soybean (BSB), respectively, and elucidated the mechanism responsible for high-yield TTMP production. The results showed that glutamate, leucine and phenylalanine were major free amino acids in BDA. The TTMP yield in BDA at 48 h (6.11 mg/g dry weight) was 360-fold higher than that in BSB. Transcriptomic and proteomic analysis demonstrated that compared with the soybean substrate, dehulled adlay substrate significantly up-regulated the expression of alsSD and ilvBH genes and their encoding proteins in B. subtilis BJ3-2, which were involved in C5-branched dibasic acid metabolism, 2-oxocarboxylic acid metabolism, and valine, leucine and isoleucine biosynthesis. Meanwhile, acetoin degradation was inhibited by down-regulating acetoin dehydrogenase complex (acoABCL) in citrate cycle, glycolysis/gluconeogenesis and carbon metabolism. Additionally, nitrogen metabolism pathway was transcriptionally enhanced to guarantee sufficient ammonium supply. Notably, protein-protein interaction and molecular docking analyses revealed that acetohydroxyacid synthase (ilvBH) interacted tightly with α-acetolactate decarboxylase (alsD), potentially forming a metabolic channel for acetoin synthesis. In conclusion, the efficient synthesis of TTMP in BDA was primarily attributed to the high synthesis and low degradation of acetoin, and the moderate synthesis of ammonium/ammonia. This study provided a theoretical basis for the targeted and efficient biosynthesis of TTMP.

Bacillus subtilis↗
PubMed2002

Multidimensional differential display via ion-pair reversed-phase denaturing high-performance liquid chromatography.

Experimental approaches are now available for the analysis of whole transcriptome expression in cells and tissues. Since the introduction of such methods for the investigation of differences in mRNA populations, they have been applied successfully to many areas of biology and medicine including development, differentiation, physiology, pharmacology, and carcinogenesis. Here we describe an improved and automated approach based on the differential mRNA display method developed by Liang and Pardee (P. Liang and A. B. Pardee, 1992, Science 257, 967-971). We report the use of ion-pair reversed-phase denaturing high-performance liquid chromatography (IP RP DHPLC), for the first time, to produce a "fingerprint," after amplification of the cDNA corresponding to the mRNA populations, from two or more of the samples that are to be compared. By overlaying the chromatograms produced from the amplification of different samples derived from the same set of oligodeoxynucleotide primers, those genes that are differentially expressed can be selected and subsequently cloned and sequenced rapidly to establish a profile of differentially expressed genes. In addition, validation of the data obtained is readily achieved by this method using IP RP DHPLC and quantitative RT-PCR. In this study total RNA was prepared from NTERA2 cells before and after differentiation induced by retinoic acid and was reverse-transcribed into cDNA prior to amplification to produce fluorescently tagged products. This methodology facilitates multiple rounds of interrogation of RT-PCR products and we tentatively refer to this approach as Multidimensional Differential Display.

Base Sequence↗
PubMed2006

The use of microarrays to define functionally-related genes that are differentially expressed in the cycling pig uterus.

In swine and other livestock, the uterine endometrium exhibits dramatic morphological and secretory changes throughout the oestrous cycle and during pregnancy. Such physiological changes are a reflection of extremely complex interactions between gene products (RNA and protein). The recent development of genomics and proteomics methods, as well as associated bioinformatics tools, has provided the means to begin characterising such interactions. Indeed, the analysis of the transcriptome and proteome of cells and tissues now comprises a new field of study known as 'systems biology'. Currently, the most powerful technique available to the systems biologist is the microarray. These platforms represent oligonucleotide or cDNA fragments spotted in a specified high-density pattern on a solid support. Hybridisation of fluorescently-tagged cDNAs from different tissue sources permits the measurement of thousands of RNAs in parallel. The method permits the identification of genes that are present at different amounts between the two tissues and, more importantly, it permits the identification of groups of genes (clusters) that are expressed in comparable patterns. Results from a recent expression profiling experiment are described. The goal of the profiling experiment was to define genes that are differentially expressed in endometrium during the oestrous cycle. The experiment used an in-house cDNA microarray with > 14,000 distinct cDNAs cloned from reproductive tissues. Total RNAs from cyclic endometrium (Days 0, 3, 6, 10, 12, 14 and 18 post-oestrus) were reverse transcribed into cDNAs, labelled with fluorescent dye and hybridised to the arrays along with cDNAs derived from a reference RNA pool. A total of 4,827 genes were found to differ significantly at some time during the oestrous cycle. Clustering methods were able to define numerous groups of similarly expressed genes. These data will help to define the complex patterns of endometrial genes acting in concert to create the environments required for fertilisation, embryo growth and conceptus development in swine.

Animals↗
PubMed2005

Loss of heterozygosity and transcriptome analyses of a 1.2 Mb candidate ovarian cancer tumor suppressor locus region at 17q25.1-q25.2.

Loss of heterozygosity (LOH) analysis was performed in epithelial ovarian cancers (EOC) to further characterize a previously identified candidate tumor suppressor gene (TSG) region encompassing D17S801 at chromosomal region 17q25.1. LOH of at least one informative marker was observed for 100 (71%) of 140 malignant EOC samples in an analysis of 6 polymorphic markers (cen-D17S1839-D17S785-D17S1817-D17S801-D17S751-D17S722-tel). The combined LOH analysis revealed a 453 kilobase (Kb) minimal region of deletion (MRD) bounded by D17S1817 and D17S751. Human and mouse genome assemblies were used to resolve marker inconsistencies in the D17S1839-D17S722 interval and identify candidates. The region contains 32 known and strongly predicted genes, 9 of which overlap the MRD. The reference genomic sequences share nearly identical gene structures and the organization of the region is highly collinear. Although, the region does not show any large internal duplications, a 1.5 Kb inverted duplicated sequence of 87% nucleotide identity was observed in a 13 Kb region surrounding D17S801. Transcriptome analysis by Affymetrix GeneChip and reverse transcription (RT)-polymerase chain reaction (PCR) methods of 3 well characterized EOC cell lines and primary cultures of normal ovarian surface epithelial (NOSE) cells was performed with 32 candidates spanning D17S1839-D17S722 interval. RT-PCR analysis of 8 known or strongly predicted genes residing in the MRD in 10 EOC samples, that exhibited LOH of the MRD, identified FLJ22341 as a strong candidate TSG. The proximal repeat sequence of D17S801 occurs 8 Kb upstream of the putative promoter region of FLJ22341. RT-PCR analysis of the EOC samples and cell lines identified DKFZP434P0316 that maps proximal to the MRD, as a candidate. While Affymetrix technology was useful for initially eliminating less promising candidates, subsequent RT-PCR analysis of well-characterized EOC samples was essential to prioritize TSG candidates for further study.

Chromosome Mapping↗
PubMed2003

Molecular characterization of prostatic small-cell neuroendocrine carcinoma.

OBJECTIVES: A subset of prostate carcinomas is composed predominantly, even exclusively, of neuroendocrine (NE) cells. In this report, we sought to characterize the gene expression profile of a prostate small cell NE carcinoma by assessing the diversity and abundance of transcripts in the LuCaP 49 prostate small cell carcinoma xenograft. METHODS: We constructed a cDNA library (PRCA3) from the LuCap 49 prostate small cell xenograft. Single pass DNA sequencing of randomly selected cDNA clones followed by sequence assembly and annotation produced a library of Expressed Sequence Tags (ESTs) representing the LuCaP 49 transcriptome. Comparative sequence analysis with ESTs derived from prostate adenocarcinoma libraries was performed using statistical algorithms designed to identify differentially expressed sequences. Putative NE cell-specific genes were further examined by Northern analysis. RESULTS: Sequence assembly and analysis identified 1,447 distinct genes expressed in the LuCaP 49 cDNA library. These include cDNAs encoding the NE markers secretogranin (SCG2), CD24, and ENO2. Northern analysis revealed that three additional genes, ASCL1, INA, and SV2B are expressed in LuCaP 49 but not in various prostate cancer cell lines or xenografts. Fifteen genes were identified with a statistical probability (P > 0.9) of being up-regulated in LuCaP 49 small cell carcinoma relative to prostate adenocarcinoma (two primary prostate adenocarcinomas and the LNCaP prostate adenocarcinoma cell line). CONCLUSIONS: Prostate small cell carcinoma expresses a diverse repertoire of genes that reflect characteristics of their NE cell of origin. ASCL1, INA, and SV2B are potential molecular markers for small cell NE tumors and NE cells of the prostate. This small cell NE carcinoma gene expression profile may yield insights into the development, progression, and treatment of subtypes of prostate cancer.

Aged↗
PubMed2026

Functional characterization of carbon dioxide receptors in the fall armyworm, Spodoptera frugiperda.

BACKGROUND: Carbon dioxide (CO2) is an important chemosensory cue involved in host plant recognition and environmental navigation in moths. In insects, CO2 detection is generally mediated by specific gustatory receptors (GRs). This study aimed to identify and functionally characterize CO2-related GRs in the fall armyworm, Spodoptera frugiperda. RESULTS: Three candidate GR genes, designated SfruGR1, SfruGR2, and SfruGR3, were identified through genomic and transcriptomic analyses. Phylogenetic analysis showed that these receptors clustered with conserved insect CO2 GRs and formed three distinct monophyletic clades. Quantitative real-time PCR revealed that SfruGR3 was expressed at significantly higher levels than SfruGR1 and SfruGR2 across multiple adult tissues and larval stages. Two-electrode voltage clamp recordings in Xenopus oocytes showed that only the co-expression of SfruGR1 + SfruGR3 among seven receptor combinations produced significant responses to bicarbonate ions (HCO₃-), which were used to represent dissolved CO2. Electrolabialpalpography assays demonstrated that FAW labial palps responded to CO2 in a concentration-dependent manner, with 1% CO2 eliciting the strongest electrophysiological response, especially in females. In Y-tube olfactometer assays, males were significantly attracted to 1% CO2, whereas females showed only a weak behavioral response. CONCLUSION: These results indicate that SfruGR1 and SfruGR3 are key components of CO2 perception in FAW. This study provides new insight into the molecular and behavioral mechanisms of CO2 sensing in this destructive agricultural pest. © 2026 Society of Chemical Industry.

Spodoptera frugiperda↗
PubMed2001

Molecular neuropathology of transgenic mouse models of Down syndrome.

Down syndrome (DS) is a complex, clinically heterogeneous disorder which shows both impairment of neurodevelopement and the neurodegenerative changes of Alzheimer's disease (AD). The phenotype of DS is caused by triplication of chromosome 21 and transgenic mouse models have been developed, and are being created, that carry single genes and chromosomal segments to excess. For example, transgenic mice containing additional copies of the amyloid precursor protein (APP) gene, have been useful in producing the Abeta deposition characteristic of AD and DS, but not the cytoskeletal changes that are the hallmarks of these human disorders. Such models are useful in replicating aspects of pathogenesis and allow for the testing of therapeutic agents to restore impaired function. Segmental trisomic mouse models, which survive to adulthood and possess three copies of multiple genes responsible for the DS phenotype, such as Ts1Cje and Ts65Dn, have been used to explore aspects of neurodevelopment and neurodegeneration. These animal models show some but not all the pathological, biochemical, and transcriptional changes seen in DS. They also have the advantage of allowing for the testing of therapeutic agents to restore impaired function. Analysis of the transcriptome and proteome of fetal and adult DS indicates that there is a complex relationship between gene dosage, gene and protein expression, and that data from animal models will need to be compared and evaluated in the light of data obtained from DS tissue.

Animals↗
PubMed2005

Applying metabolic profiling techniques for stimulus-response experiments: chances and pitfalls.

So far it is mainly transcriptome and proteome analysis that has been applied to elucidate the correlation between genotype and phenotype although thorough metabolome studies can provide substantial information on the control of the metabolism at the biochemical level. Stimulus-response experiments, i.e. the investigation of metabolism dynamics after a glucose pulse (pulse experiment), can be used to study the in vivo enzyme kinetics offering insight into underlying reaction mechanisms. Usually, this requires rapid cell quenching combined with cell inactivation to'freeze' the microbial metabolism response at a definite time-lag after pulse stimulation. To access the 'frozen' metabolic reply, adequate analytical methods are needed to measure intracellular metabolite concentrations in the cell extract. As shown in the introductory review part, stimulus-response experiments were usually applied to study central metabolism dynamics in wildtype strains. Our own results, presented in the second part of the contribution, indicate that stimulus-response experiments should also be applied to analyse pathway dynamics in anabolic routes. Using the example of the aromatic amino acid pathway, an LC-MS/MS technique is presented that allows the quantification of intracellular pools of central metabolism as well as of the aromatic amino acid pathway. Based on the analytical approach metabolic profiling is performed to monitor the metabolism dynamics after a glucose pulse experiment allowing the conclusion that pulse stimulation is transmitted to the anabolic pathway of interest.

Algorithms↗
PubMed2026

NFS1 activates PI3K/AKT/mTOR signaling to upregulate GPX4 expression and enhance ferroptosis resistance in osteosarcoma.

Osteosarcoma continues to exhibit poor survival outcomes due to chemoresistance and metastasis, with metabolic reprogramming and ferroptosis resistance being key features of tumor heterogeneity, yet their upstream regulators remain poorly defined. NFS1, a cysteine desulfurase essential for iron-sulfur cluster biogenesis, protects multiple cancers from ferroptosis, but its role in osteosarcoma is unknown. In this study, we performed a transcriptomic meta-analysis and found that NFS1 expression was significantly upregulated in osteosarcoma tissues, with further elevation in metastatic lesions, and high NFS1 expression correlated with poor overall survival. Genome‑wide CRISPR screening data revealed a marked NFS1 dependency in osteosarcoma cell lines. Functionally, NFS1 promoted cell proliferation, migration, and invasion, whereas its knockdown suppressed these phenotypes. Using single‑cell RNA sequencing data from 27 osteosarcoma specimens, we applied a multi‑algorithm glycolytic scoring framework and observed NFS1 enrichment in highly glycolytic malignant cells, along with an association with PI3K/AKT/mTOR pathway activation. Mechanistically, NFS1 selectively enhanced PI3K, AKT, and mTOR phosphorylation without altering total protein levels, and upregulated GPX4, a central ferroptosis suppressor, leading to elevated ferroptosis resistance scores in NFS1‑high malignant cells. Collectively, these findings identify a previously unrecognized NFS1-PI3K/AKT/mTOR-GPX4 regulatory axis in osteosarcoma, linking metabolic reprogramming to ferroptosis resistance, and suggest that NFS1 functions as an oncogenic driver, as well as a promising prognostic biomarker and therapeutic target in osteosarcoma.

Humans↗
PubMed2006

Gene expression analysis of arbuscule development and functioning.

The arbuscular mycorrhiza (AM) is characterized by specific morphological structures of the fungus and the plant and by physiological adaptations which are mostly beneficial for both partners of the symbiosis. This review describes approaches to study the molecular basis of the interaction. RNA accumulation patterns have been monitored in Pisum sativum to analyse the plant response to arbuscule development. In a direct approach, the Mtha1 gene from Medicago truncatula was cloned which is expressed in arbusculated cells of M. truncatula. The gene putatively encodes an H(+)-ATPase involved in the improved plant nutrition during mycorrhization. Finally, a tripartite system between M. truncatula, Glomus mosseae and Aphanomyces euteiches was established, in order to study bioprotection. Analysis of the transcriptome has been started to analyse the interaction between the plant, the pathogen and the AM fungus.

Gene Expression Regulation, Plant↗
PubMed2006

Inflammation in preterm and term labour and delivery.

Inflammation has been implicated in the mechanisms responsible for preterm and term parturition, as well as fetal injury. Out of all of the suspected causes of preterm labour and delivery, infection and/or inflammation is the only pathological process for which both a firm causal link with preterm birth has been established and a molecular pathophysiology defined. Inflammation has also been implicated in the mechanism of spontaneous parturition at term. Most cases of histopathological inflammation and histological chorioamnionitis, both in preterm and term labour, are sub-clinical in nature. The isolation of bacteria in the amniotic fluid, known as microbial invasion of the amniotic cavity, is a pathological finding; the frequency of which is dependent upon the clinical presentation and gestational age. There is a window of time during which it may be possible to detect a 'molecular signature of inflammation' by analysis of the transcriptome before histological evidence is observed. This article reviews the role of inflammation in preterm and term parturition. It is possible that modulation of inflammation using anti-inflammatory cytokines, corticoids, antioxidants and/or other factors may complement antibiotic therapy and limit fetal injury.

Adrenal Cortex Hormones↗
PubMed2005

Predictive metabolic engineering in plants: still full of surprises.

In an important recent paper Kristensen et al. address a question of fundamental importance in plant biotechnology: how are metabolic pathways affected upon introduction of a transgene? Analysis of the transcriptome and metabolome of Arabidopsis thaliana engineered to produce the cyanogenic glucoside dhurrin demonstrated that plants can be tailored in a rational manner with marginal inadvertent effects.

Amino Acids↗
PubMed2006

Cloning from tissue surrogates: antimicrobial peptide (esculentin) cDNAs from the defensive skin secretions of Chinese ranid frogs.

The defensive skin secretions of amphibians are a rich source of bioactive peptides. Here we describe a rapid technique for skin granular gland transcriptome cloning from a surrogate tissue-the secretion itself. cDNA libraries were constructed from lyophilized skin secretion from each of the Chinese frogs (Rana schmackeri, Rana versabilis, and Rana plancyi fukienensis) using magnetic oligo(dT) bead-captured polyadenylated mRNA as templates. Specific esculentin cDNAs were amplified by 3'-RACE using a degenerate primer designed for a consensus nucleotide sequence in the 5' untranslated region of previously characterized ranid frog peptide cDNAs. The cloned cDNAs were found to encode the antimicrobial peptides esculentins 1 and 2 from each of the species examined. The presence of predicted peptide structures in skin secretions was confirmed by MALDI-TOF mass spectrometry and automated Edman degradation. This experimental approach can thus rapidly expedite parallel transcriptome and peptidome analysis of amphibian granular gland secretions without harming or sacrificing donor animals.

Amino Acid Sequence↗