Improving gene annotation using peptide mass spectrometry

Annotation of protein-coding genes is a key goal of genome sequencing projects. In spite of tremendous recent advances in computational gene finding, comprehensive annotation remains a challenge. Peptide mass spectrometry is a powerful tool for researching the dynamic proteome and suggests an attractive approach to discover and validate protein-coding genes. We present algorithms to construct and efficiently search spectra against a genomic database, with no prior knowledge of encoded proteins. By searching a corpus of 18.5 million tandem mass spectra (MS/MS) from human proteomic samples, we validate 39,000 exons and 11,000 introns at the level of translation. We present translation-level evidence for novel or extended exons in 16 genes, confirm translation of 224 hypothetical proteins, and discover or confirm over 40 alternative splicing events. Polymorphisms are efficiently encoded in our database, allowing us to observe variant alleles for 308 coding SNPs. Finally, we demonstrate the use of mass spectrometry to improve automated gene prediction, adding 800 correct exons to our predictions using a simple rescoring strategy. Our results demonstrate that proteomic profiling should play a role in any genome sequencing project.

Functional interaction between peroxisome proliferator-activated receptors-alpha and Mef-2C on human carnitine palmitoyltransferase 1beta (CPT1beta) gene activation

Muscle-type carnitine palmitoyltransferase 1 (CPT1β) is considered to be the gene that controls fatty acid mitochondrial β-oxidation. A functional peroxisome proliferator-activated receptor (PPAR) responsive element (PPRE) and a myocite-specific (MEF2) site that binds MEF2A and MEF2C in the promoter of this gene had been previously identified. We investigated the roles of the PPRE and the MEF2 binding sites and the potential interaction between PPARα and MEF2C regulating the CPT1β gene promoter. Mutation analysis indicated that the MEF2 site contributed to the activation of the CPT1β promoter by PPAR in C2C12 cells. The reporter construct containing the PPRE and the MEF2C site was synergistically activated by co-expression of PPAR, retinoid X receptor (RXR) and MEF2C in non-muscle cells. Moreover, protein-binding assays demonstrated that MEF2C and PPAR specifically bound to one another in vitro. Also for the synergistic activation of the CPT1β gene promoter by MEF2C and PPARα-RXRα, a precise arrangement of its binding sites was essential.

Redirecció de l'especificitat de les cél·lules T contra epítops del VIH restringit per la HLA-A2 mitjaçant transferència genética

Existeixen creixents evidències què la resposta dels limfòcits T CD8+ alpha beta citotòxics (CTLs) és un element fonamental en la infecció produïda pel VIH. Les CTLs VIH especifiques es consideren molt importants en la reducció de la càrrega viral i en la contenció de la infecció. Encara que la combinació dels antiretrovirals (HAART) ha suposat una millora considerable en la lluita contra el VIH induint una important reducció de la càrrega viral i augmentant el nombre de cèl•lules T CD4+, diverses complicacions han fet ressaltar la necessitat de noves alternatives terapèutiques. Les complicacions inclouen: manca de recuperació d’una resposta immune sòlida contra el VIH, toxicitat a llarg termini de la teràpia i el descobriment que les cèl•lules T CD4+ constitueixen un reservori pel virus. Les noves alternatives controlaran la replicació viral i reconstituiran la immunitat. L’eficàcia de la immunoteràpia cel•lular amb transferència adoptiva de CTLs virals específics s’ha provat en diferents infeccions virals humanes, incloent el VIH. Proposem una modificació de la immunoteràpia adoptiva redirigint l’especificitat de les cèl•lules T contra el VIH mitjançant la transfecció dels gens del TCR. En aquest assaig preclínic, ens aprofitarem de la tecnologia dels animals transgènics per les molècules de HLA, amb la finalitat de generar TCRs d’alta afinitat dirigits contra epitops del VIH restringits per la molècula HLA. Aquests TCRs seran induïts in vivo i seleccionats in vitro. Les cadenes alpha i beta dels TCRs VIH específics procedents de les CTLs seran clonades mitjançant tècniques de biologia molecular. Aquests TCRs VIH específics seran transferits a cèl•lules T CD8+ humanes i la seva especificitat i capacitat citolítica contra cèl•lules diana que presentin antígens de VIH-1 s’estudiaran mitjançant la combinació de diverses tècniques noves (FCC, transfecció mitjançant Nucleoefector). Finalment, una construcció retroviral adient per la seva transducció en cèl•lules T humanes s’establirà amb un TCR òptim seleccionat.

“Unmixing” Tissue Gene Expression Signatures from Tumor Biopsies

Emergent molecular measurement methods, such as DNA microarray, qRTPCR, andmany others, offer tremendous promise for the personalized treatment of cancer. Thesetechnologies measure the amount of specific proteins, RNA, DNA or other moleculartargets from tumor specimens with the goal of “fingerprinting” individual cancers. Tumorspecimens are heterogeneous; an individual specimen typically contains unknownamounts of multiple tissues types. Thus, the measured molecular concentrations resultfrom an unknown mixture of tissue types, and must be normalized to account for thecomposition of the mixture.For example, a breast tumor biopsy may contain normal, dysplastic and cancerousepithelial cells, as well as stromal components (fatty and connective tissue) and bloodand lymphatic vessels. Our diagnostic interest focuses solely on the dysplastic andcancerous epithelial cells. The remaining tissue components serve to “contaminate”the signal of interest. The proportion of each of the tissue components changes asa function of patient characteristics (e.g., age), and varies spatially across the tumorregion. Because each of the tissue components produces a different molecular signature,and the amount of each tissue type is specimen dependent, we must estimate the tissuecomposition of the specimen, and adjust the molecular signal for this composition.Using the idea of a chemical mass balance, we consider the total measured concentrationsto be a weighted sum of the individual tissue signatures, where weightsare determined by the relative amounts of the different tissue types. We develop acompositional source apportionment model to estimate the relative amounts of tissuecomponents in a tumor specimen. We then use these estimates to infer the tissuespecificconcentrations of key molecular targets for sub-typing individual tumors. Weanticipate these specific measurements will greatly improve our ability to discriminatebetween different classes of tumors, and allow more precise matching of each patient tothe appropriate treatment