Molecular Systems Biology · 2011 · 1K citations · 28 references
Life SciencesCell BiologyMolecular BiologyGene ExpressionProteomicsTranscriptomicsCancer GenomicsCancer ProteomicsCancer TranscriptomicsMolecular Tumor ProfilingProteomic ProfilingTop-down ProteomicsCancer BioinformaticsCancer Proteome ProfilingProteome AnnotationProteome BioinformaticsSpatially Resolved Transcriptome MappingTumor Proteome ProfilingTumor Proteomics
While the number and identity of proteins expressed in a single human cell type is currently unknown, this fundamental question can be addressed by advanced mass spectrometry (MS)-based proteomics. Online liquid chromatography coupled to high-resolution MS and MS/MS yielded 166 420 peptides with unique amino-acid sequence from HeLa cells. These peptides identified 10 255 different human proteins encoded by 9207 human genes, providing a lower limit on the proteome in this cancer cell line. Deep transcriptome sequencing revealed transcripts for nearly all detected proteins. We calculate copy numbers for the expressed proteins and show that the abundances of > 90% of them are within a factor 60 of the median protein expression level. Comparisons of the proteome and the transcriptome, and analysis of protein complex databases and GO categories, suggest that we achieved deep coverage of the functional transcriptome and the proteome of a single cell type.
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Gene Ontology: tool for the unification of biology
Michael Ashburner, Catherine A. Ball, Judith A. Blake et al. · Nature Genetics · 2000 · 44.6K citations · Full text
Mapping and quantifying mammalian transcriptomes by RNA-Seq
A Mortazavi, Brian A. Williams, Kenneth McCue et al. · Nature Methods · 2008 · 14.3K citations
TopHat: discovering splice junctions with RNA-Seq
Cole Trapnell, Lior Pachter, Steven L. Salzberg · Bioinformatics · 2009 · 12.1K citations · Full text