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Dive into the research topics where Keith Mitchelson is active.

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Featured researches published by Keith Mitchelson.


Cancer Research | 2008

Distinctive MicroRNA Profiles Relating to Patient Survival in Esophageal Squamous Cell Carcinoma

Yong Guo; Zhaoli Chen; Liang Zhang; Fang Zhou; Susheng Shi; Xiaoli Feng; Baozhong Li; Xin Meng; Xi Ma; Mingyong Luo; Kang Shao; Ning Li; Bin Qiu; Keith Mitchelson; Jing Cheng; Jie He

Esophageal cancer is the sixth leading cause of death from cancer and one of the least studied cancers worldwide. The global microRNA expression profile of esophageal cancer has not been reported previously. Here, for the first time, we have investigated expressed microRNAs in cryopreserved esophageal cancer tissues using advanced microRNA microarray techniques. Our microarray analyses identified seven microRNAs that could distinguish malignant esophageal cancer lesions from adjacent normal tissues. Some microRNAs could be correlated with the different clinicopathologic classifications. High expression of hsa-miR-103/107 correlated with poor survival by univariate analysis as well as by multivariate analysis. These results indicate that microRNA expression profiles are important diagnostic and prognostic markers of esophageal cancer, which might be analyzed simply using economical approaches such as reverse transcription-PCR.


Clinical Cancer Research | 2011

A 5-MicroRNA Signature for Lung Squamous Cell Carcinoma Diagnosis and hsa-miR-31 for Prognosis

Xiaogang Tan; Wenyan Qin; Liang Zhang; Jie Hang; Baozhong Li; Cuiyan Zhang; Junting Wan; Fang Zhou; Kang Shao; Yimin Sun; Jianping Wu; Xun Zhang; Bin Qiu; Ning Li; Shusheng Shi; Xiaoli Feng; Shouhua Zhao; Zhen Wang; Xiaohong Zhao; Zhaoli Chen; Keith Mitchelson; Jing Cheng; Yong Guo; Jie He

Purpose: Recent studies have suggested that microRNA biomarkers could be useful for stratifying lung cancer subtypes, but microRNA signatures varied between different populations. Squamous cell carcinoma (SCC) is one major subtype of lung cancer that urgently needs biomarkers to aid patient management. Here, we undertook the first comprehensive investigation on microRNA in Chinese SCC patients. Experimental Design: MicroRNA expression was measured in cancerous and noncancerous tissue pairs strictly collected from Chinese SCC patients (stages I–III), who had not been treated with chemotherapy or radiotherapy prior to surgery. The molecular targets of proposed microRNA were further examined. Results: We identified a 5-microRNA classifier (hsa-miR-210, hsa-miR-182, hsa-miR-486-5p, hsa-miR-30a, and hsa-miR-140-3p) that could distinguish SCC from normal lung tissues. The classifier had an accuracy of 94.1% in a training cohort (34 patients) and 96.2% in a test cohort (26 patients). We also showed that high expression of hsa-miR-31 was associated with poor survival in these 60 SCC patients by Kaplan–Meier analysis (P = 0.007), by univariate Cox analysis (P = 0.011), and by multivariate Cox analysis (P = 0.011). This association was independently validated in a separate cohort of 88 SCC patients (P = 0.008, 0.011, and 0.003 in Kaplan–Meier analysis, univariate Cox analysis, and multivariate Cox analysis, respectively). We then determined that the tumor suppressor DICER1 is a target of hsa-miR-31. Expression of hsa-miR-31 in a human lung cancer cell line repressed DICER1 activity but not PPP2R2A or LATS2. Conclusions: Our results identified a new diagnostic microRNA classifier for SCC among Chinese patients and a new prognostic biomarker, hsa-miR-31. Clin Cancer Res; 17(21); 6802–11. ©2011 AACR.


International Journal of Cancer | 2014

Expression, regulation and roles of miR-26a and MEG3 in tongue squamous cell carcinoma.

Lingfei Jia; Su-bi Wei; Ye-Hua Gan; Yong Guo; Kai Gong; Keith Mitchelson; Jing Cheng; Guang-yan Yu

MicroRNA miR‐26a and long noncoding RNA (lncRNA) MEG3 gene have been independently reported to be tumor suppressor genes in various cancers, but neither has been previously associated with tongue squamous cell carcinoma (TSCC). We report here that miR‐26a and lncRNA MEG3 gene expression were both strongly reduced in TSCC compared with levels in matched nonmalignant tissues, and combined low expression levels of both miR‐26a and MEG3 emerged as an independent prognostic factor for poor clinical outcome in TSCC patients. Assays in the human TSCC cell lines SCC‐15 and CAL27 showed that miR‐26a targets the DNA methyltransferase 3B transcript and that its inhibition may result in the upregulation of MEG3, providing a plausible link between the observed reduction of miR‐26a and MEG3 in TSCC tissue. Furthermore, the overexpression of miR‐26a or MEG3 in SCC‐15 and CAL27 cells inhibited cell proliferation and cell cycle progression, and promoted cell apoptosis. Considering the poor prognostic outcomes associated with reduced miR‐26a and MEG3, our findings imply that these factors likely play important antitumor effects in TSCC pathogenesis. Furthermore, they represent potential prognostic biomarkers for stratification of TSCC patients.


Hepatology | 2011

MicroRNAs‐372/373 promote the expression of hepatitis B virus through the targeting of nuclear factor I/B

Hongyan Guo; Haiying Liu; Keith Mitchelson; Huiying Rao; Mingyong Luo; Lan Xie; Yimin Sun; Liang Zhang; Ying Lu; Ruyu Liu; Aihui Ren; Shuai Liu; Shaozhen Zhou; Jiye Zhu; Yuxiang Zhou; Ailong Huang; Lai Wei; Yong Guo; Jing Cheng

MicroRNAs (miRNAs) play important roles in the posttranscriptional regulation of gene expression. Recent evidence has indicated the pathological relevance of miRNA dysregulation in hepatitis virus infection; however, the roles of microRNAs in the regulation of hepatitis B virus (HBV) expression are still largely unknown. In this study we identified that miR‐373 was up‐regulated in HBV‐infected liver tissues and that the members of the miRs‐371‐372‐373 (miRs‐371‐3) gene cluster were also significantly co‐up‐regulated in HBV‐producing HepG2.2.15 cells. A positive in vivo association was identified between hepatic HBV DNA levels and the copy number variation of the miRs‐371‐3 gene cluster. The enhanced expression of miRs‐372/373 stimulated the production of HBV proteins and HBV core‐associated DNA in HepG2 cells transfected with 1.3×HBV. Further, nuclear factor I/B (NFIB) was identified to be a direct functional target of miRs‐372/373 by in silico algorithms and this was subsequently confirmed by western blotting and luciferase reporter assays. Knockdown of NFIB by small interfering RNA (siRNA) promoted HBV expression, whereas rescue of NFIB attenuated the stimulation in the 1.3×HBV‐transfected HepG2 cells. Conclusion: Our study revealed that miRNA (miRs‐372/373) can promote HBV expression through a pathway involving the transcription factor (NFIB). This novel model provides new insights into the molecular basis in HBV and host interaction. (HEPATOLOGY 2011;)


Oncogene | 2012

MicroRNA-133b is a key promoter of cervical carcinoma development through the activation of the ERK and AKT1 pathways

W Qin; P Dong; C Ma; Keith Mitchelson; T Deng; Lu Zhang; Yongming Andrew Sun; X Feng; Y Ding; X Lu; Jie He; H Wen; Jing Cheng

We report that elevated microRNA-133b (miR-133b) acts as an oncogene in human cervical carcinoma to promote tumorigenesis and metastasis. In situ hybridization confirmed that miR-133b is localized in proliferating human cervical carcinoma cells with levels progressively elevating throughout advancing stages. Cellular studies showed that miR-133b enhances cell proliferation and colony formation by targeting mammalian sterile 20-like kinase 2 (MST2), cell division control protein 42 homolog (CDC42) and ras homolog gene family member A (RHOA), which subsequently results in activation of the tumorigenic protein kinase B alpha (AKT1) and mitogen-activated protein kinase (ERK1 and ERK2, here abbreviated as ERK) signaling pathways. Mouse experiments revealed that upregulation of miR-133b in cervical carcinoma cells strongly promotes both in vivo tumorigenesis and independent metastasis to the mouse lung. The data indicates that upregulation of miR-133b shortens the latency of cervical carcinoma. Together, these findings suggest that miR-133b could be a potent marker for the early onset of cervical carcinoma.


Journal of Clinical Microbiology | 2007

Use of a DNA Microarray for Simultaneous Detection of Antibiotic Resistance Genes among Staphylococcal Clinical Isolates

Lingxiang Zhu; Zhiwei Zhang; Can Wang; Huawei Yang; Di Jiang; Qiong Zhang; Keith Mitchelson; Jing Cheng

ABSTRACT We developed a multiplex asymmetric PCR (MAPCR)-based DNA microarray assay for characterization of the clinically relevant antibiotic resistance genes leading to penicillin, methicillin, aminoglycoside, macrolide, lincosamide, and streptogramin B (MLSB) resistance in staphylococci. The DNA-based assay involves detection of specific conserved regions of the mecA, blaZ (methicillin and penicillin resistance), aac(6′)-Ie-aph(2‴) (aminoglycoside resistance), ermA and ermC genes (MLSB resistance), and the msrA gene (macrolide and streptogramin B resistance). The microarray uses a variable sequence region of the 16S rRNA gene to broadly differentiate between Staphylococcus aureus and other coagulase-negative staphylococci (CoNS). The performance of the microarray was validated with a total of 178 clinically important S. aureus and 237 CoNS isolates, with correlations of 100% for S. aureus to CoNS discrimination and more than 90% for antibiotic resistance between the genotypic analysis determined by the microarray and the phenotype determined by standard methods of species identification and susceptibility testing. The major discrepant results were 17 mecA-positive CoNS and 60 aac(6′)-Ie-aph(2‴)-positive CoNS isolates measured by microarray that were susceptible to the corresponding antibiotics based on disk diffusion assay. Overall, this microarray-based assay offers a simultaneous, fast (≤5 h), and accurate identification of antibiotic resistance genes from a single colony, as well as species classification. Our extensive validation of the microarray suggests that it may be a useful tool to complement phenotypic susceptibility testing in clinical laboratories and to survey the spread of antibiotic resistance determinants in epidemiological studies.


Journal of Cellular Physiology | 2008

Identification of the gene transcription and apoptosis mediated by TGF-β-Smad2/3-Smad4 signaling

Jian Yu; Liang Zhang; Ailiang Chen; Guangxin Xiang; Yahui Wang; Jianping Wu; Keith Mitchelson; Jing Cheng; Yuxiang Zhou

Transforming growth factor‐β (TGF‐β) signaling is known to depend on the formation of Smad2/3‐Smad4 transcription regulatory complexes. However, the signaling functions of Smad2/3‐Smad4 during TGF‐β‐induced responses are obscure as TGF‐β also initiates a number of other signaling pathways. In this study, we systematically assessed the contribution of TGF‐β‐Smad2/3‐Smad4 signaling to both target gene transcription and apoptosis. Individual Smads were selectively knocked down in Hep3B cells by stable RNA interference (RNAi). We identified TGF‐β‐responsive genes using genome‐wide oligonucleotide microarrays and confirmed their dependency on Smad2, Smad3, or Smad4 by the combination of RNAi and microarray assay. The major finding from our microarray analysis was that of the 2,039 target genes seen to be regulated via TGF‐β induction, 190 were differentially transcriptionally controlled by Smad2‐Smad4 and Smad3‐Smad4 signaling and the latter control mechanism appeared to be functionally more important. We also found indirect evidence of competition between Smad2 and Smad3 for their activation when controlling the transcription of target genes. Functional analysis revealed that Smad3 and Smad4 were the predominant mediators of TGF‐β‐induced apoptosis in Hep3B cells. We provide evidence that up‐regulation of Bcl‐2‐interacting mediator of cell death (Bim), under the transcriptional control of Smad3‐Smad4 signaling, is crucial to TGF‐β‐induced apoptosis in Hep3B cells. J. Cell. Physiol. 215: 422–433, 2008.


Antimicrobial Agents and Chemotherapy | 2007

Multiplex Asymmetric PCR-Based Oligonucleotide Microarray for Detection of Drug Resistance Genes Containing Single Mutations in Enterobacteriaceae

Lingxiang Zhu; Zhiwei Zhang; Dong Liang; Di Jiang; Can Wang; Ning Du; Qiong Zhang; Keith Mitchelson; Jing Cheng

ABSTRACT A multiplex asymmetric PCR (MAPCR)-based microarray method was developed for the detection of 10 known extended-spectrum β-lactamases (ESBLs) and plasmid-mediated AmpC β-lactamase genes in gram-negative bacteria and for the typing of six important point mutations (amino acid positions 35, 43, 130, 179, 238, and 240) in the blaSHV gene. The MAPCR is based on a two-round reaction to promote the accumulation of the single-stranded amplicons amenable for microarray hybridization by employing multiple universal unrelated sequence-tagged primers and elevating the annealing temperature at the second round of amplification. A strategy to improve the discrimination efficiency of the microarray was constituted by introducing an artificial mismatch into some of the allele-specific oligonucleotide probes. The microarray assay correctly identified the resistance genes in both the reference strains and some 111 clinical isolates, and these results were also confirmed for some isolates by direct DNA sequence analysis. The resistance genotypes determined by the microarray correlated closely with phenotypic MIC susceptibility testing. This fast MAPCR-based microarray method should prove useful for undertaking important epidemiological studies concerning ESBLs and plasmid-mediated AmpC enzymes and could also prove invaluable as a preliminary screen to supplement phenotypic testing for clinical diagnostics.


Biosensors and Bioelectronics | 2008

Analysis of the sensitivity and frequency characteristics of coplanar electrical cell-substrate impedance sensors

Lei Wang; He Wang; Keith Mitchelson; Zhongyao Yu; Jing Cheng

A PDMS-glass based micro-device was designed and fabricated with 12 coplanar impedance sensors integrated for electrical cell-substrate impedance sensing (ECIS). The sensitivity and frequency characteristics of the sensors were investigated both theoretically (equivalent circuit model) and experimentally for the commonly used micro-electrode dimension scale (20-80 microm). The experimental results matched well with the theoretical model analysis and revealed that, within this micro-electrode dimension scale, as the electrode width decreased or as the total electrode length decreased the sensitivity of sensor increased over the whole sensing frequency range, whilst electrode to electrode distance had no influence on sensitivity. Through our frequency characteristics analysis, the whole frequency range could be divided into four parts. New functions describing the dominant components in each frequency range were defined and validated experimentally, and could be used to explain the phenomenon of an ECIS sensing frequency window. The contribution to the impedance measurement of cells growing on the edges of the electrodes was determined for the first time. Finally, novel proposals for ECIS sensor design and ECIS measurements were presented.


Biotechnology Letters | 2009

Microarray and biochemical analysis of bufalin-induced apoptosis of HL-60 Cells

Ailiang Chen; Jian Yu; Liang Zhang; Yimin Sun; Yan Zhang; Hongyan Guo; Yuxiang Zhou; Keith Mitchelson; Jing Cheng

Bufalin is a natural toxin with anti-leukemic properties. It induces cell differentiation and apoptosis, as well as increasing the sensitivity of leukemia cells to other chemotherapeutic agents. We investigated the biological effects and molecular mechanisms of bufalin triggered apoptosis in HL-60 cells by gene expression profiling. The broad transcriptional response to bufalin was consistent with bufalin’s action of regulating HL-60 cell proliferation and apoptosis, as well as its synergistic effect with other drugs. Further transcription factor ELISA experiments suggested that the transcription factors NFκB and AP-1 were activated to promote bufalin-induced HL-60 cell apoptosis. Our study provides new insights into the molecular mechanisms of bufalin, might prove to be beneficial in leukemia therapy.

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Jing Cheng

Hospital of the University of Pennsylvania

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Liang Zhang

Wake Forest University

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Jing Cheng

Hospital of the University of Pennsylvania

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