Defining the transcriptome and proteome in three functionally different human cell lines.
about
Antibody-based protein profiling of the human chromosome 21Dynamic circadian protein-protein interaction networks predict temporal organization of cellular functionsTranscriptomics resources of human tissues andĀ organsProtein-centric N-glycoproteomics analysis of membrane and plasma membrane proteinsCD44 is a negative cell surface marker for pluripotent stem cell identification during human fibroblast reprogrammingRole of Fas-associated death domain-containing protein (FADD) phosphorylation in regulating glucose homeostasis: from proteomic discovery to physiological validationInferring metabolic states in uncharacterized environments using gene-expression measurementsTranscriptome characterization by RNA-Seq reveals the involvement of the complement components in noise-traumatized rat cochleaeA proteomic chronology of gene expression through the cell cycle in human myeloid leukemia cellsSimultaneous profiling of 194 distinct receptor transcripts in human cellsMolecular profile of cochlear immunity in the resident cells of the organ of Corti.1D and 2D annotation enrichment: a statistical method integrating quantitative proteomics with complementary high-throughput data.Linking proteomic and transcriptional data through the interactome and epigenome reveals a map of oncogene-induced signaling.Dissecting the Characteristics and Dynamics of Human Protein Complexes at Transcriptome Cascade Using RNA-Seq DataProteoMirExpress: inferring microRNA and protein-centered regulatory networks from high-throughput proteomic and mRNA expression dataLeveraging the complementary nature of RNA-Seq and shotgun proteomics data.Multi-perspective quality control of Illumina RNA sequencing data analysis.A comprehensive multi-omics approach uncovers adaptations for growth and survival of Pseudomonas aeruginosa on n-alkanes.Transcriptome analysis of human tissues and cell lines reveals one dominant transcript per geneTranscriptome and proteome quantification of a tumor model provides novel insights into post-transcriptional gene regulationCancer cell redirection biomarker discovery using a mutual information approachComprehensive transcriptomics and proteomics analyses of pollinated and parthenocarpic litchi (Litchi chinensis Sonn.) fruits during early development.Translational database selection and multiplexed sequence capture for up front filtering of reliable breast cancer biomarker candidates.A Protein Epitope Signature Tag (PrEST) library allows SILAC-based absolute quantification and multiplexed determination of protein copy numbers in cell lines.Protein identification using customized protein sequence databases derived from RNA-Seq data.Integrating heterogeneous high-throughput data for meta-dimensional pharmacogenomics and disease-related studiesQuantitative proteomics in cardiovascular research: global and targeted strategiesComparative analysis of different label-free mass spectrometry based protein abundance estimates and their correlation with RNA-Seq gene expression data.Rewiring of PDZ domain-ligand interaction network contributed to eukaryotic evolution.The quantitative proteome of a human cell line.Quantitative maps of protein phosphorylation sites across 14 different rat organs and tissues.A clathrin coat assembly role for the muniscin protein central linker revealed by TALEN-mediated gene editing.Comparison of total and cytoplasmic mRNA reveals global regulation by nuclear retention and miRNAsAnnotation of the zebrafish genome through an integrated transcriptomic and proteomic analysis.Comparative transcriptome profiling of the early response to Magnaporthe oryzae in durable resistant vs susceptible rice (Oryza sativa L.) genotypes.Analysis of stranded information using an automated procedure for strand specific RNA sequencingThe proteome and phosphoproteome of Neurospora crassa in response to cellulose, sucrose and carbon starvation.Protein analysis by shotgun/bottom-up proteomicsIn silico estimation of translation efficiency in human cell lines: potential evidence for widespread translational controlThe baboon kidney transcriptome: analysis of transcript sequence, splice variants, and abundance.
P2860
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P2860
Defining the transcriptome and proteome in three functionally different human cell lines.
description
2010 nĆ® lÅ«n-bĆ»n
@nan
2010 Õ©ÕøÖÕ”ÕÆÕ”Õ¶Õ« Ō“Õ„ÕÆÕæÕ„Õ“Õ¢Õ„ÖÕ«Õ¶ Õ°ÖÕ”ÕæÕ”ÖÕ”ÕÆÕøÖÕ”Õ® Õ£Õ«ÕæÕ”ÕÆÕ”Õ¶ ÕµÖ
Õ¤ÕøÖÕ”Õ®
@hyw
2010 Õ©Õ¾Õ”ÕÆÕ”Õ¶Õ« Õ¤Õ„ÕÆÕæÕ„Õ“Õ¢Õ„ÖÕ«Õ¶ Õ°ÖÕ”ÕæÕ”ÖÕ”ÕÆÕ¾Õ”Õ® Õ£Õ«ÕæÕ”ÕÆÕ”Õ¶ Õ°ÕøÕ¤Õ¾Õ”Õ®
@hy
2010幓ć®č«ę
@ja
2010幓č«ę
@yue
2010幓č«ę
@zh-hant
2010幓č«ę
@zh-hk
2010幓č«ę
@zh-mo
2010幓č«ę
@zh-tw
2010幓č®ŗę
@wuu
name
Defining the transcriptome and proteome in three functionally different human cell lines.
@ast
Defining the transcriptome and proteome in three functionally different human cell lines.
@en
Defining the transcriptome and proteome in three functionally different human cell lines.
@nl
type
label
Defining the transcriptome and proteome in three functionally different human cell lines.
@ast
Defining the transcriptome and proteome in three functionally different human cell lines.
@en
Defining the transcriptome and proteome in three functionally different human cell lines.
@nl
prefLabel
Defining the transcriptome and proteome in three functionally different human cell lines.
@ast
Defining the transcriptome and proteome in three functionally different human cell lines.
@en
Defining the transcriptome and proteome in three functionally different human cell lines.
@nl
P2093
P2860
P50
P356
P1476
Defining the transcriptome and proteome in three functionally different human cell lines.
@en
P2093
Cajsa AlgenƤs
Emma Lundberg
Joakim Lundeberg
Juergen Cox
Matthias Mann
Tamar Geiger
P2860
P356
10.1038/MSB.2010.106
P577
2010-12-01T00:00:00Z