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Thomas D. Schmittgen

Bio: Thomas D. Schmittgen is an academic researcher from University of Florida. The author has contributed to research in topics: microRNA & Gene expression. The author has an hindex of 48, co-authored 111 publications receiving 150512 citations. Previous affiliations of Thomas D. Schmittgen include University of Southern California & University of Oklahoma.


Papers
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Journal ArticleDOI
27 Oct 2010-PLOS ONE
TL;DR: A feedback loop between miRs, corepressors and AR and the imperative role of miRs in AR function in non-cancerous androgen-responsive tissues are demonstrated.
Abstract: Androgen receptor (AR) function is critical for the development of male reproductive organs, muscle, bone and other tissues. Functionally impaired AR results in androgen insensitivity syndrome (AIS). The interaction between AR and microRNA (miR) signaling pathways was examined to understand the role of miRs in AR function. Reduction of androgen levels in Sprague-Dawley rats by castration inhibited the expression of a large set of miRs in prostate and muscle, which was reversed by treatment of castrated rats with 3 mg/day dihydrotestosterone (DHT) or selective androgen receptor modulators. Knockout of the miR processing enzyme, DICER, in LNCaP prostate cancer cells or tissue specifically in mice inhibited AR function leading to AIS. Since the only function of miRs is to bind to 3′ UTR and inhibit translation of target genes, androgens might induce miRs to inhibit repressors of AR function. In concordance, knock-down of DICER in LNCaP cells and in tissues in mice induced the expression of corepressors, NCoR and SMRT. These studies demonstrate a feedback loop between miRs, corepressors and AR and the imperative role of miRs in AR function in non-cancerous androgen-responsive tissues.

65 citations

Journal ArticleDOI
TL;DR: The TAT-TAR interaction enhanced the loading of the miR-199a into EVs by 65-fold and may be valuable in other drug delivery approaches involving miRNA mimics or other hairpin containing RNAs.
Abstract: Extracellular vesicles (EVs) hold great potential as novel systems for nucleic acid delivery due to their natural composition. Our goal was to load EVs with microRNA that are synthesized by the cells that produce the EVs. HEK293T cells were engineered to produce EVs expressing a lysosomal associated membrane, Lamp2a fusion protein. The gene encoding pre-miR-199a was inserted into an artificial intron of the Lamp2a fusion protein. The TAT peptide/HIV-1 transactivation response (TAR) RNA interacting peptide was exploited to enhance the EV loading of the pre-miR-199a containing a modified TAR RNA loop. Computational modeling demonstrated a stable interaction between the modified pre-miR-199a loop and TAT peptide. EMSA gel shift, recombinant Dicer processing and luciferase binding assays confirmed the binding, processing and functionality of the modified pre-miR-199a. The TAT-TAR interaction enhanced the loading of the miR-199a into EVs by 65-fold. Endogenously loaded EVs were ineffective at delivering active miR-199a-3p therapeutic to recipient SK-Hep1 cells. While the low degree of miRNA loading into EVs through this approach resulted in inefficient distribution of RNA cargo into recipient cells, the TAT TAR strategy to load miRNA into EVs may be valuable in other drug delivery approaches involving miRNA mimics or other hairpin containing RNAs.

65 citations

Patent
02 Mar 2007
TL;DR: In this article, the level of at least one miR gene product in a biological sample derived from the subject's pancreas was determined to be indicative of the subject either having, or being at risk for developing, pancreatic cancer.
Abstract: Methods are provided for diagnosing whether a subject has, or is at risk of developing, pancreatic cancer. The methods include measuring the level of at least one miR gene product in a biological sample derived from the subject's pancreas. An alteration in the level of the miR gene product in the biological sample as compared to the level of a corresponding miR gene product in a control sample, is indicative of the subject either having, or being at risk for developing, pancreatic cancer.

63 citations

Journal ArticleDOI
TL;DR: Infection by the human papillomavirus (HPV) is a cause of cervical intraepithelial neoplasia (CIN) and cancer, and the exogenous application of mimetic miR-125b markedly inhibits HPV DNA synthesis.
Abstract: Infection by the human papillomavirus (HPV) is a cause of cervical intraepithelial neoplasia (CIN) and cancer. microRNA (miRNA) in situ analysis of the transformation zone epithelia, the site of initial cervical HPV infection, showed that miRNAs let-7c, -99a, 26a, and 125b were the most abundantly expressed. In situ testing of CIN 1 showed a dramatic reduction in miR-125b expression in the koilocytes, the cytologic marker of productive HPV infection. A marked reduction in miR-125b was likewise observed in the HPV-infected cells of the condyloma acuminatum, verruca vulgaris, and epidermodysplasia verruciformis. Reverse transcriptase in situ polymerase chain reaction (PCR) showed that the pre-miRNA 125b was present in the koilocyte, suggesting direct inactivation of the mature miRNA. HEK cells transfected with only the antimiR-125b showed perinuclear halos equivalent to HPV-infected koilocytes. NIH 3T3 cells transfected with the HPV 16 full-length genome and mimetic miR-125b showed a marked reduction in viral DNA and protein synthesis by quantitative PCR and in situ-based analyses, respectively (P=0.002). Alternatively, cotransfection with anti-miR-125b and HPV 16 markedly increased HPV DNA (P=0.002). Sequence analyses showed strong homology between L2 of different HPV genotypes and miR-125b. Transfection with HPV 16 L2 resulted in a marked reduction in miR-125b levels in the NIH 3T3 cells. HPV L2-induced inactivation of miR-125b is associated with the classic cytologic changes of the koilocyte, and the exogenous application of mimetic miR-125b markedly inhibits HPV DNA synthesis.

60 citations

Journal ArticleDOI
TL;DR: In this article, the histologic features, Ki67 index, p53, bcl-2, and miRNA expression were studied in 15 leiomyosarcomas (11 primary lesions and 4 metastases), 8 leioma, and 10 cases of benign metastasizing leisomyoma (9 pulmonary lesions and 1 primary uterine lesion).
Abstract: Benign metastasizing leiomyomas are rare tumors, which are typically found in the lungs and, thus, might be confused with leiomyosarcomas. Further, it is not clear whether the term "benign metastasizing leiomyoma" is a misnomer and whether these lesions actually represent low-grade malignant tumors that have a low proliferation index. Micro-RNAs (miRNAs) are small noncoding RNAs, which repress translation. The altered expression of miRNAs has been strongly correlated with the malignant phenotype. In this study, the histologic features, Ki67 index, p53, bcl-2, and miRNA expression were studied in 15 leiomyosarcomas (11 primary lesions and 4 metastases), 8 leiomyomas, and 10 cases of benign metastasizing leiomyoma (9 pulmonary lesions and 1 primary uterine lesion). As expected, the Ki67 index for the benign metastasizing leiomyomas was equivalent to that for the leiomyomas and statistically less than that for the leiomyosarcomas. The mean index was 2.3% (range: 0.9% to 8.8%) for the leiomyomas and 3.4% (range: 0.7% to 8.1%) for the benign metastasizing leiomyomas compared with 28.6% (range: 14.4% to 62.0%) for the leiomyosarcomas (P<0.025). The miRNA, miR-221, which has been associated with a variety of cancers, was detected by in situ hybridization in 13/15 leiomyosarcomas, 0/8 leiomyomas, and 0/10 benign metastasizing leiomyomas. In conclusion, benign metastasizing leiomyomas are indeed most likely benign lesions, and up-regulation of miR-221 expression is an accurate way to differentiate leiomyosarcoma from benign metastasizing leiomyoma.

55 citations


Cited by
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Journal ArticleDOI
01 Dec 2001-Methods
TL;DR: The 2-Delta Delta C(T) method as mentioned in this paper was proposed to analyze the relative changes in gene expression from real-time quantitative PCR experiments, and it has been shown to be useful in the analysis of realtime, quantitative PCR data.

139,407 citations

Journal ArticleDOI
TL;DR: This protocol provides an overview of the comparative CT method for quantitative gene expression studies and various examples to present quantitative gene Expression data using this method.
Abstract: Two different methods of presenting quantitative gene expression exist: absolute and relative quantification. Absolute quantification calculates the copy number of the gene usually by relating the PCR signal to a standard curve. Relative gene expression presents the data of the gene of interest relative to some calibrator or internal control gene. A widely used method to present relative gene expression is the comparative C(T) method also referred to as the 2 (-DeltaDeltaC(T)) method. This protocol provides an overview of the comparative C(T) method for quantitative gene expression studies. Also presented here are various examples to present quantitative gene expression data using this method.

20,580 citations

Journal ArticleDOI
TL;DR: The normalization strategy presented here is a prerequisite for accurate RT-PCR expression profiling, which opens up the possibility of studying the biological relevance of small expression differences.
Abstract: Gene-expression analysis is increasingly important in biological research, with real-time reverse transcription PCR (RT-PCR) becoming the method of choice for high-throughput and accurate expression profiling of selected genes. Given the increased sensitivity, reproducibility and large dynamic range of this methodology, the requirements for a proper internal control gene for normalization have become increasingly stringent. Although housekeeping gene expression has been reported to vary considerably, no systematic survey has properly determined the errors related to the common practice of using only one control gene, nor presented an adequate way of working around this problem. We outline a robust and innovative strategy to identify the most stably expressed control genes in a given set of tissues, and to determine the minimum number of genes required to calculate a reliable normalization factor. We have evaluated ten housekeeping genes from different abundance and functional classes in various human tissues, and demonstrated that the conventional use of a single gene for normalization leads to relatively large errors in a significant proportion of samples tested. The geometric mean of multiple carefully selected housekeeping genes was validated as an accurate normalization factor by analyzing publicly available microarray data. The normalization strategy presented here is a prerequisite for accurate RT-PCR expression profiling, which, among other things, opens up the possibility of studying the biological relevance of small expression differences.

18,261 citations

Journal ArticleDOI
TL;DR: The Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines target the reliability of results to help ensure the integrity of the scientific literature, promote consistency between laboratories, and increase experimental transparency.
Abstract: Background: Currently, a lack of consensus exists on how best to perform and interpret quantitative real-time PCR (qPCR) experiments. The problem is exacerbated by a lack of sufficient experimental detail in many publications, which impedes a reader’s ability to evaluate critically the quality of the results presented or to repeat the experiments. Content: The Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines target the reliability of results to help ensure the integrity of the scientific literature, promote consistency between laboratories, and increase experimental transparency. MIQE is a set of guidelines that describe the minimum information necessary for evaluating qPCR experiments. Included is a checklist to accompany the initial submission of a manuscript to the publisher. By providing all relevant experimental conditions and assay characteristics, reviewers can assess the validity of the protocols used. Full disclosure of all reagents, sequences, and analysis methods is necessary to enable other investigators to reproduce results. MIQE details should be published either in abbreviated form or as an online supplement. Summary: Following these guidelines will encourage better experimental practice, allowing more reliable and unequivocal interpretation of qPCR results.

12,469 citations

Journal ArticleDOI
TL;DR: MiRNA-expression profiling of human tumours has identified signatures associated with diagnosis, staging, progression, prognosis and response to treatment and has been exploited to identify miRNA genes that might represent downstream targets of activated oncogenic pathways, or that target protein-coding genes involved in cancer.
Abstract: MicroRNA (miRNA ) alterations are involved in the initiation and progression of human cancer. The causes of the widespread differential expression of miRNA genes in malignant compared with normal cells can be explained by the location of these genes in cancer-associated genomic regions, by epigenetic mechanisms and by alterations in the miRNA processing machinery. MiRNA-expression profiling of human tumours has identified signatures associated with diagnosis, staging, progression, prognosis and response to treatment. In addition, profiling has been exploited to identify miRNA genes that might represent downstream targets of activated oncogenic pathways, or that target protein- coding genes involved in cancer.

6,345 citations