Systems analysis of eleven rodent disease models reveals an inflammatome signature and key drivers

نویسندگان

  • I-Ming Wang
  • Bin Zhang
  • Xia Yang
  • Jun Zhu
  • Serguei Stepaniants
  • Chunsheng Zhang
  • Qingying Meng
  • Mette Peters
  • Yudong He
  • Chester Ni
  • Deborah Slipetz
  • Michael A Crackower
  • Hani Houshyar
  • Christopher M Tan
  • Ernest Asante-Appiah
  • Gary O'Neill
  • Mingjuan Jane Luo
  • Rolf Thieringer
  • Jeffrey Yuan
  • Chi-Sung Chiu
  • Pek Yee Lum
  • John Lamb
  • Yves Boie
  • Hilary A Wilkinson
  • Eric E Schadt
  • Hongyue Dai
  • Christopher Roberts
چکیده

Common inflammatome gene signatures as well as disease-specific signatures were identified by analyzing 12 expression profiling data sets derived from 9 different tissues isolated from 11 rodent inflammatory disease models. The inflammatome signature significantly overlaps with known drug targets and co-expressed gene modules linked to metabolic disorders and cancer. A large proportion of genes in this signature are tightly connected in tissue-specific Bayesian networks (BNs) built from multiple independent mouse and human cohorts. Both the inflammatome signature and the corresponding consensus BNs are highly enriched for immune response-related genes supported as causal for adiposity, adipokine, diabetes, aortic lesion, bone, muscle, and cholesterol traits, suggesting the causal nature of the inflammatome for a variety of diseases. Integration of this inflammatome signature with the BNs uncovered 151 key drivers that appeared to be more biologically important than the non-drivers in terms of their impact on disease phenotypes. The identification of this inflammatome signature, its network architecture, and key drivers not only highlights the shared etiology but also pinpoints potential targets for intervention of various common diseases.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An analysis of the key drivers affecting the formation process and the pattern of physical development of the southern cities of Bushehr province (Case study: Kangan city)

Today Identify and analyze critical natural, economic, socio-cultural, and political drivers Creation, growth, and development of cities. It has become one of the essential concerns of urban planners and decision-makers for short, medium, and long-term planning for citieschr('39') growth and development. The aim of this study is the Identify and analyze key drivers affecting the formation proce...

متن کامل

An ECC-Based Mutual Authentication Scheme with One Time Signature (OTS) in Advanced Metering Infrastructure

Advanced metering infrastructure (AMI) is a key part of the smart grid; thus, one of the most important concerns is to offer a secure mutual authentication.  This study focuses on communication between a smart meter and a server on the utility side. Hence, a mutual authentication mechanism in AMI is presented based on the elliptic curve cryptography (ECC) and one time signature (OTS) consists o...

متن کامل

Signature submanifolds for some equivalence problems

This article concerned on the study of signature submanifolds for curves under Lie group actions SE(2), SA(2) and for surfaces under SE(3). Signature submanifold is a regular submanifold which its coordinate components are differential invariants of an associated manifold under Lie group action, and therefore signature submanifold is a key for solving equivalence problems.

متن کامل

Analysis of Changes on Mean Particle Size in a Fluidized Bed using Vibration Signature

Vibration signals were measured in a lab-scale fluidized bed to investigate the changes in particle sizes. Experiments were carried out in the bed with a different mass fraction of coarser particles at different superficial gas velocities, and probe heights. The S-statistic test evaluates the dimensionless squared distance between two attractors reconstructed from time series of vibration signa...

متن کامل

Use of the Shearlet Transform and Transfer Learning in Offline Handwritten Signature Verification and Recognition

Despite the growing growth of technology, handwritten signature has been selected as the first option between biometrics by users. In this paper, a new methodology for offline handwritten signature verification and recognition based on the Shearlet transform and transfer learning is proposed. Since, a large percentage of handwritten signatures are composed of curves and the performance of a sig...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره 8  شماره 

صفحات  -

تاریخ انتشار 2012