Title |
Proteomics identifies differentially expressed proteins in neonatal murine thymus compared with adults
|
---|---|
Published in |
Proteome Science, November 2012
|
DOI | 10.1186/1477-5956-10-65 |
Pubmed ID | |
Authors |
Xinze Cai, Wenyue Huang, Ying Qiao, Yang Chen, Shuyan Du, Dong Chen, Shuang Yu, Ruichao Che, Yi Jiang |
Abstract |
The thymus is an immune organ essential for life and plays a crucial role in the development of T cells. It undergoes a fetal to adult developmental maturation process occurring in mouse during the postnatal months. The molecular modifications underlying these ontogenic changes are essentially unknown. Here we used a differential proteomic-based technique (2D-Difference Gel Electrophoresis) coupled with matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry to search for key proteins in the postnatal development of the thymus. Eight different BALB/c mice were used in the study: four mice aged of 1 day (neonatal) and four mice aged of 60 days (adult). Protein samples derived from thymus were labeled and run in 2D-PAGE (Two-Dimensional Polyacrylamide Gel Electrophoresis). One whole-thymus tissue from each mouse was run on gels and each gel containing a pooled sample of the eight mice was run in parallel. The pooled sample was set as the internal pool, containing equal amount of each protein extract used in the experiment. Gels were matched and compared with Difference In-gel Analysis software. Differential spots were picked, in-gel digested and peptide mass fingerprints were obtained. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Peru | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | 6% |
Unknown | 15 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 4 | 25% |
Student > Ph. D. Student | 4 | 25% |
Student > Postgraduate | 3 | 19% |
Researcher | 2 | 13% |
Professor > Associate Professor | 1 | 6% |
Other | 1 | 6% |
Unknown | 1 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Immunology and Microbiology | 5 | 31% |
Agricultural and Biological Sciences | 2 | 13% |
Medicine and Dentistry | 2 | 13% |
Engineering | 2 | 13% |
Computer Science | 1 | 6% |
Other | 2 | 13% |
Unknown | 2 | 13% |