Center for Translational Cancer Research

If you prefer the video info in a printable PDF format, please click这里。

Faculty

青云博士,博士Professor & Director

Ali Azhdarinia博士,副教授

Sheng Pan, Ph.D.,副教授

肯德拉·卡蒙(Kendra Carmon)博士副教授

The Center for Translational Cancer Research connects research efforts across the university in systems biology, clinical and translational sciences, protein chemistry, genomics, metabonomics, nanomedicine, and proteomics, bringing together people to promote intellectual exchange and the the transfer of expertise in these key fields and beyond.

Multi-Departmental Collaboration of Interacting Centers

The IMM is the hub of a new alliance connecting research efforts across the university in systems biology, clinical and translational sciences, protein chemistry, genomics, and proteomics. This new multidisciplinary science will link the efforts of various centers, bringing together people to promote intellectual exchange and the transfer of expertise in these key fields and beyond.

emergi平移癌症研究中心beplay苹果手机能用吗ng as an exciting, new area of science. While genomics has been highly successful at cataloging nucleic acid sequences, for the vast majority of genes the microRNA,lncRNA, protein products, and metabolites best describe the state of living system.

Further, proteins are the targets for essentially all of the drugs on the market today. Gene sequences give us a starting point, but most cellular proteins are extensively processed and modified. To understand cellular regulation, elucidate disease processes, and identify drug targets we need the detailed characterization of proteins that now appears achievable through mass spectrometry.

转化癌研究中心(CTCR)的一个使命是开发实验和分析技术,这将使精确的生物医学成为现实。beplay苹果手机能用吗CTCR的一个重要发展领域将是鉴定疾病生物标志物,并针对这种生物标志物,以预防,诊断和治疗疾病。CTCR不仅将开发新技术,而且还将为McGovern医学院,UTHEANTH和更广泛的科学界提供协调的中心和计划。IMM是在CTCR中开发的实验和计算计划中汇集资源和领导能力的理想环境。

Mass Spectrometry Resources

We maintain two mass spectrometry centers within the IMM, theClinical and Translational Proteomics Service Center和分子诊断服务中心。设备和人员允许从发现阶段到临床试验提供全方位的蛋白质组学和诊断服务。我们的MS资源包括以下内容:

  • Thermo LTQ Orbitrap XL-ETD Mass Spectrometer
  • Thermo LTQ Orbitrap Fusion Tribrid™质谱仪
  • Agilent 6538超高清精确质量Q-TOF
  • Agilent 6430三倍四极杆LC/ MS
  • Perkin Elmer AxION 2 TOF
  • Shimadzu LCMS-8040

The entire facility is supported by the CCTS Genologics LIMS system which is used for de-identified sample tracking from the bedside to analytical results from genomic, proteomic and immunological characterization. This instrumentation group is a state of the art mass spectroscopy core that is capable of providing routine mass spectroscopy services such as protein identification and peptide profiling, more demanding analyses such as post-translational modifications, and quantitative peptide and protein analyses in complex mixtures.

Computational Resources

The Center for Translational Cancer Research (CTCR) maintains both local computation resources and has access to the Texas Advanced Computing Center (TACC). These computers are set up for analysis of tumor images, next-generation sequencing, multi-scale mathematical modeling, and proteomics analysis, among other things. Our local computer resources include:

  • Dell Precision T7500N workstation with two quad core英特尔Xeon E5603(1.6 GHz)processors
  • SUN SPARC M5000 server with eight dual cores processors
  • Sun共享可视化/GPU服务器:16 2.8GHz PROC 128GB RAM
  • GPU Computing Server: 6 M2080 GPU, 12 2.4 GHz Proc 32 GB RAM
  • Mac Pro:12 2.66 GHz PROC,32GB RAM,Dual 27in显示

Research Collaborations

  • 3D打印- 可在我们的大型高分辨率Stratasys J750 PolyJet打印机或我们的Fortus 450MC FDM打印机上找到。通过Uthealth 3D打印服务中心位于imm内。
  • Aptamer Targeting- we have developed, and continue to develop, novel aptamers and aptamer techniques to target proteins or small molecules of interest, such as proteins highly expressed on the surface of cancers. Through collaborations aptamers and aptamer selection technologies are made available to our faculty and to outside institutions for targeted delivery of nanoparticles and multi-stage vectors to tumors.
  • Big Data- 我们正在开发新颖的图像分析方法,以提高癌症治疗的治疗功效。
  • Mathematical Modeling of Tumors- we are developing breakthrough methods of multi-scale modeling for predicting dosing efficacy of chemotherapeutic agents.
  • 蛋白质组学seeks to understand cellular regulation, elucidate disease processes, and identify drug targets using the detailed characterization of proteins achievable through mass spectrometry.
  • Metabonomics- NMR光谱和质谱法的代谢谱和药物监测。
  • 下一代测序分析- we developed适当的人, a software package for the analysis of NGS data arising from pseudo-random DNA X-Aptamers. The software is now being used to study antigenic variation in infectious agents with UTHealth collaborators.