Log In

EDRN Catalog and Archive Service


Lung Carcinoma - Normal I (pool of 20 resections)

Dataset Abstract:

This study produced 320 Thermo “RAW” files from a shotgun proteomics profiling analysis of non-small cell lung cancer published in MCP (PMID: 22761400). Pools of 19-20 specimens were created from lung squamous cell carcinomas, adenocarcinomas and two sets of normal lung epithelium. Proteins were extracted, digested with trypsin and the resulting peptides separated into 15 fractions by narrow-range isoelectric focusing and analyzed on a Thermo LTQ-Orbitrap instrument. The manuscript describes the global proteome of lung squamous cell carcinomas, adenocarcinomas and normal epithelium, and identifies proteins that are significantly different between these three tissue types. This dataset contains the Normal I (pool of 20 resections).


The following additional information has been defined for this dataset. The information has been provided by the Principal Investigator or staff from his or her laboratory.

ProtocolId
1001
ProtocolName
DataSetName
Lung Carcinoma - Normal I (pool of 20 resections)
LeadPI
Daniel Liebler
SiteName
Vanderbilt University School of Medicine
DataCustodian
Kent Shaddox
DataCustodianEmail
kent.shaddox@vanderbilt.edu
OrganSite
Lung
CollaborativeGroup
Lung and Upper Aerodigestive
MethodDetails
See MCP PMID 22761400
ResultsAndConclusionSummary
TBD
DateDatasetFrozen
Unknown
Date
2012-09-27T15:05:00.000Z
QAState
Accepted
DataDisclaimer
Data and information released from the National Cancer Institute (NCI) are provided on an "AS IS" basis, without warranty of any kind, including without limitation the warranties of merchantability, fitness for a particular purpose and non-infringement. Availability of this data and information does not constitute scientific publication. Data and/or information may contain errors or be incomplete. NCI and its employees make no representation or warranty, express or implied, including without limitation any warranties of merchantability or fitness for a particular purpose or warranties as to the identity or ownership of data or information, the quality, accuracy or completeness of data or information, or that the use of such data or information will not infringe any patent, intellectual property or proprietary rights of any party. NCI shall not be liable for any claim for any loss, harm, illness or other damage or injury arising from access to or use of data or information, including without limitation any direct, indirect, incidental, exemplary, special or consequential damages, even if advised of the possibility of such damages. In accordance with scientific standards, appropriate acknowledgment of NCI should be made in any publications or other disclosures concerning data or information made available by NCI.