The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease.

نویسندگان

  • Justin Lamb
  • Emily D Crawford
  • David Peck
  • Joshua W Modell
  • Irene C Blat
  • Matthew J Wrobel
  • Jim Lerner
  • Jean-Philippe Brunet
  • Aravind Subramanian
  • Kenneth N Ross
  • Michael Reich
  • Haley Hieronymus
  • Guo Wei
  • Scott A Armstrong
  • Stephen J Haggarty
  • Paul A Clemons
  • Ru Wei
  • Steven A Carr
  • Eric S Lander
  • Todd R Golub
چکیده

To pursue a systematic approach to the discovery of functional connections among diseases, genetic perturbation, and drug action, we have created the first installment of a reference collection of gene-expression profiles from cultured human cells treated with bioactive small molecules, together with pattern-matching software to mine these data. We demonstrate that this "Connectivity Map" resource can be used to find connections among small molecules sharing a mechanism of action, chemicals and physiological processes, and diseases and drugs. These results indicate the feasibility of the approach and suggest the value of a large-scale community Connectivity Map project.

برای دانلود 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

Expression Profiling of Microarray Gene Signatures in Acute and Chronic Myeloid Leukaemia in Human Bone Marrow

Background Classification of cancer subtypes by means of microarray signatures is becoming increasingly difficult to ignore as a potential to transform pathological diagnosis nonetheless, measurement of Indicator genes in routine practice appears to be arduous. In a preceding published study, we utilized real-time PCR measurement of Indicator genes in acute lymphoid leukaemia (ALL) and acute m...

متن کامل

Exploring Gene Signatures in Different Molecular Subtypes of Gastric Cancer (MSS/ TP53+, MSS/TP53-): A Network-based and Machine Learning Approach

Gastric cancer (GC) is one of the leading causes of cancer mortality, worldwide. Molecular understanding of GC’s different subtypes is still dismal and it is necessary to develop new subtype-specific diagnostic and therapeutic approaches. Therefore developing comprehensive research in this area is demanding to have a deeper insight into molecular processes, underlying these subtypes. In this st...

متن کامل

Global gene expression analysis using microarray to study differential vulnerability to neurodegeneration

Neurodegenerative disorders such as Parkinson’s disease, motor neuron disease and Alzheimer’s disease is characterized by loss of specific cells within certain regions of the brain. One of the most compelling questions is to determine why specific cell populations are vulnerable to neurodegeneration. We addressed this question by studying global gene expression changes using an animal model of ...

متن کامل

Global gene expression analysis using microarray to study differential vulnerability to neurodegeneration

Neurodegenerative disorders such as Parkinson’s disease, motor neuron disease and Alzheimer’s disease is characterized by loss of specific cells within certain regions of the brain. One of the most compelling questions is to determine why specific cell populations are vulnerable to neurodegeneration. We addressed this question by studying global gene expression changes using an animal model of ...

متن کامل

Study of Gene Expression Signatures for the Diagnosis of Pediatric Acute Lymphoblastic Leukemia (ALL) Through Gene Expression Array Analyses

Background: Acute lymphoblastic leukemia (ALL) as the most common malignancy in children is associated with high mortality and significant relapse. Currently, the non-invasive diagnosis of pediatric ALL is a main challenge in the early detection of patients. In the present study, a systems biology approach was used through network-based analysis to identify the key candidate genes related to AL...

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

برای دانلود 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

عنوان ژورنال:
  • Science

دوره 313 5795  شماره 

صفحات  -

تاریخ انتشار 2006