Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

Resource Summary Report New Search

Name: TissueNet - The Database of Human Tissue Protein-Protein Interactions
Keywords: protein-protein interaction, protein, tissue, adipose, adrenal, brain, breast, colon, heart, kidney, liver, lung, lymph node, ovary, prostate, skeletal muscle, testis, thyroid, white blood cell, protein expression, dna-microarray

Resource Name

TissueNet - The Database of Human Tissue Protein-Protein Interactions

RRID:SCR_002052 RRID Copied

PDF Report How to cite

TissueNet - The Database of Human Tissue Protein-Protein Interactions (RRID:SCR_002052)

Copy Citation Copied

Resource Information

URL: http://netbio.bgu.ac.il/tissuenet/

Proper Citation: TissueNet - The Database of Human Tissue Protein-Protein Interactions (RRID:SCR_002052)

Description: Database of human tissue protein-protein interactions (PPIs) that associates each interaction with human tissues that express both pair mates. This was achieved by integrating current data of experimentally detected PPIs with extensive data of gene and protein expression across 16 main human tissues. Users can query TissueNet using a protein and retrieve its PPI partners per tissue, or using a PPI and retrieve the tissues expressing both pair mates. The graphical representation of the output highlights tissue-specific and tissue-wide PPIs. Thus, TissueNet provides a unique platform for assessing the roles of human proteins and their interactions across tissues.

Abbreviations: TissueNet

Resource Type: database, data or information resource

Defining Citation: PMID:23193266

Keywords: protein-protein interaction, protein, tissue, adipose, adrenal, brain, breast, colon, heart, kidney, liver, lung, lymph node, ovary, prostate, skeletal muscle, testis, thyroid, white blood cell, protein expression, dna-microarray

Expand All

Funding:

Availability: Free, Public

Resource Name: TissueNet - The Database of Human Tissue Protein-Protein Interactions

Resource ID: SCR_002052

Alternate IDs: OMICS_01913

Record Creation Time: 2022-01-29 12:02:11

Record Last Update: 2025-04-08 11:01:50

This resource

is listed by	OMICtools
is related to	Biological General Repository for Interaction Datasets (BioGRID)
is related to	Database of Interacting Proteins (DIP)
is related to	IntAct
is related to	MINT
has parent organization	Ben-Gurion University of the Negev; Beer-Sheva; Israel

Usage and Citation Metrics

We found {{ ctrl2.mentions.total_count }} mentions in open access literature.

We have not found any literature mentions for this resource.

We are searching literature mentions for this resource.

View full usage report

Most recent articles:

{{ mention._source.dc.creators[0].familyName }} {{ mention._source.dc.creators[0].initials }}, et al. ({{ mention._source.dc.publicationYear }}) {{ mention._source.dc.title }} {{ mention._source.dc.publishers[0].name }}, {{ mention._source.dc.publishers[0].volume }}({{ mention._source.dc.publishers[0].issue }}), {{ mention._source.dc.publishers[0].pagination }}. (PMID:{{ mention._id.replace('PMID:', '') }})

Checkfor all resource mentions.

Collaborator Network

A list of researchers who have used the resource and an author search tool

Find mentions based on location

A list of researchers who have used the resource and an author search tool. This is available for resources that have literature mentions.

Ratings and Alerts

Report Information

No rating or validation information has been found for TissueNet - The Database of Human Tissue Protein-Protein Interactions.

No alerts have been found for TissueNet - The Database of Human Tissue Protein-Protein Interactions.

Data and Source Information

Source: SciCrunch Registry

About

Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.