MicroRNA-200c suppresses tumorigenesis through directly targeting CDK2 in renal cell carcinoma
ABSTRACT: MicroRNAs (miRNAs) expression profiles are widely investigated in the major cancers, but their specific roles and functions in cancers have not yet to be fully elucidated. We investigated expression profiles of miRNAs in clear cell renal cell carcinomas (ccRCCs) and in matched normal kidney tissues (NCTs) by using a miRNAs microarray platform which covers a total of 851 human miRNAs. Tumor tissue samples were immediately snap-frozen in liquid nitrogen after surgery, and then stored in a deep freezer at -80°C. Total RNA was extracted from 5 ccRCC tissues and paired NCTs and expression profiles of miRNAs were screened by using a miRNA microarray platform.
Project description:MicroRNAs (miRNAs) are a class of small non-coding single-stranded RNAs whose dysregulation of expression plays an important role in cancer development. Circulating miRNAs are novel biomarkers in several cancers. Thus, we explored whether the miRNAs in plasma could be useful clinical biomarkers for multiple myeloma (MM) patients. The expression levels of four miRNAs in plasma were upregulated while eight miRNAs were downregulated in MM patients compared with healthy controls according to microarray. MiRNA microarray was conducted to determine deregulated miRNAs in plasma of 9 MM patients and 7 healthy controls.
Project description:Gadd45a can enhance somatic cell reprogramming significantly. To explore the roles of Gadd45a playing in reprogramming, we performed miRNA microarray to identify miRNAs and signals pathways that regulated by Gadd45a. miRNAs expression of MEFs was measured at day8 in reprogramming. Four samples were set: MEFs infected with SKO plus Flag, MEFs infected with SKO plus Gadd45a, MEFs infected with SKOM plus Flag and MEFs infected with SKOM+Ga.
Project description:We tested the hypothesis that circulating microRNAs (miRNAs) present in plasma might display a specific signature in patients with intracerebral hemorrhage (ICH). Global miRNA profiles were determined with the Agilent Human miRNA Microarray platform, 027233. ICH patients display a characteristic inflammation-related miRNA profile as compared to healthy controls. Plasma samples were collected from the following 6 subject groups: male ICH patients (n=8), female ICH patients (n=7), male healthy control (n=4), female healthy control (n=4), male ischemic stroke patients (n=8) and female ischemic stroke patients (n=8). Total RNAs isolated from 1 ml plasma were pooled for each group. A fixed volume of RNA sample was withdrawn from each pool and used for microarray detection.
Project description:To further explain pathology of mTORC1 -stimulated osteoarthritis, we have employed whole genome microarray expression profiling as a discovery platform to identify miRNAs which involved in development of mTORC1-stimulated osteoarthritis We generated Col2a1-specific deletion of Tsc1 mice. mTORC1 induced miRNAs expression in development of osteoarthritis was measured at eight weeks after birth. Independent experiments were performed using knee joint cartilage from Col2a1Tsc1KO and control mice.
Project description:Skin aging is a process of structural and compositional remolding that can be manifested as wrinkling and sagging. Remarkably, the dermis plays a dominant role in the process of skin aging. Recent studies suggest that microRNAs (miRNAs) may play a role in the regulation of gene expression in organism aging. However, studies about age-related miRNAs in human skin remain limited. In order to obtain an overall view of miRNAs expression in human aged dermis, we have investigated the alteration of microRNAs during aging by examining biopsies of human dermis from 12 young and aged donors, and demonstrated that numerous microRNAs showed significant alteration in dermis tissue. Normal human dermal tissue from 12 consenting individuals. Old group vs young group. Old group: with the age over 60 years old; young group: with the age below 10 years old; each group was constituted of 6 individuals.
Project description:We measured the expression of human microRNAs in tumor cells derived from 8 FFPE samples among non-invasive CRC patients with different prognosis. Patients lived for more than 5 years after surgery were classified as good prognosis, and patients died within 5 years from surgery were classified as poor prognosis. Tumor tissues were macrodissected under the control HE staining slides. And there were at least 75 percent cancer cells in the samples. MicroRNA microarray was used to measure the expression of human miRNAs in tumor cells derived from 8 FFPE samples among early stage CRC patients with different prognosis.
Project description:In the present study, goal was to scan the potential biomarker for acute kidney injury induced by aristolochic acid I (AAI).We utilized the microarry analysis to investigate the microRNA (miRNA) expression profile in kidneys from rat treated by 40mg/kg AA I for 2-6 days. miRNAs with significantly different expression of global miRNA expression profile were validated by qRT-PCR. For miRNAs still significantly disregulation, we further examined the expression in plasma of rats treated with AAI dosed at 10, 20 and 40mg/kg AAI for 2-6 days by qRT-PCR. miRNAs with significantly dysregulation in plasma, their expression in brain, liver and heart was examined for kicking out the non-specific disregulation in AAI induced acute kidney injury, so that the significant dysregulation miRNAs with specificity in kidney and plasma was found as potential biomarkers for AAI induced acute kidney injury. Five control and 15 kidneys treated with 40mg/kg AAI on day 2, 4 and 6 was examined by microarray.
Project description:Contrast-induced acute kidney injury (CI-AKI) is typically defined by an increase in serum creatinine (SCr) after intravascular administration of contrast medium. Since creatinine is an unreliable indicator for acute changes in kidney function, an early biomarkers for CI-AKI diagnosis is important for initiating therapy.We assessed the hypothesis that circulating microRNAs (miRNAs) could be served as potential biomarkers to early detect CI-AKI.The rat model of acute kidney injury was developed as we previously described. We first detect miRNA profile of plasma and kidney tissue using Agilent microarray platform. 3 miRNA species with > 1.5-fold increase in plasma samples of CI-AKI rats, including miRNA-30a, miRNA-30e and miRNA-188, were selected as candidate miRNAs of potential biomarkers. 24 rats were randomly divided into 2 groups (CI-AKI group and control group), each with 4 subgroups (n=3). Peripheral blood and kidney samples were harvest at 8h after contrast medium/normal saline administration. Total RNA sample from each rat in the same subgroup was combined together as pooled sample for further test. The Agilent microarray platform was adapted to profile the miRNA spectra.
Project description:We carried out a case control study in an attempt to identify changes in circulating microRNAs in patients with intracranial aneurysms (IAs). We selected 40 cases (20 ruptured and 20 unruptured) and 20 healthy controls. We randomly selected 5 samples from each group and combined them into a sample pool. In this way we obtained 12 sample pools and one pool was used for a single microarray. Changes in microRNA levels in the plasma were surveyed with Agilent Human microRNA Microarray (Release 14.0, 8x15K). We identified 20 microRNAs that were unanimously changed in both ruptured and unruptured patients. We included 40 cases (20 ruptured and 20 unruptured) and 20 healthy controls. We randomly selected 5 plasma samples from each group and combined them into a sample pool. In this way we obtained 12 sample pools and one pool was used for a single microarray. Total RNA was isolated from 1 ml plasma from each sample pool and resuspended in the same volume of buffer. A fixed volume of RNA sample was used for microarray detection.
Project description:To evaluate whether serum microRNAs can predict survival in nasopharyngeal carcinoma (NPC) patients, we analyzed the serum microRNA expression profiles in 8 NPC patients with shorter-survival time and 8 age- and gender-matched NPC patients with longer-survival time using microarray. We identified a four-microRNA signature can predict survival of NPC patients. 8 serum samples from nasopharyngeal carcinoma patients with shorter-survival time and 8 serum samples from nasopharyngeal carinoma patients with longer-survival time