ArticleProceedings of the National Academy of Sciences of the United States of America2005
Identification of coexpressed gene clusters in a comparative analysis of transcriptome and proteome in mouse tissues.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 93 citations in OpenAlex.
- Screening of functional genes affecting the quality of translucent eggshell membranes based on RNA-seq analysis and DIA proteomics.Frontiers in veterinary science · 2025Article
- Plateau Adaptation Gene Analyses Reveal Transcriptomic, Proteomic, and Dual Omics Expression in the Lung Tissues of Tibetan and Yorkshire Pigs.Animals : an open access journal from MDPI · 2022Article
- Candidate gene screening for lipid deposition using combined transcriptomic and proteomic data from Nanyang black pigs.BMC genomics · 2021Article
- The APOE gene cluster responds to air pollution factors in mice with coordinated expression of genes that differs by age in humans.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2021Article
- 3D genomics imposes evolution of the domain model of eukaryotic genome organization.Chromosoma · 2017Review
- Neighboring Genes Show Correlated Evolution in Gene Expression.Molecular biology and evolution · 2015Article
- Mapping and introgression of QTL for yield and related traits in two backcross populations derived from Oryza sativa cv. Swarna and two accessions of O. nivara.Journal of genetics · 2014Article
- A fine balance: Regulation of hippocampal Arc/Arg3.1 transcription, translation and degradation in a rat model of normal cognitive aging.Neurobiology of learning and memory · 2014Article
- Minireview: progress and challenges in proteomics data management, sharing, and integration.Molecular endocrinology (Baltimore, Md.) · 2012Review
- Distinct energy metabolism of auditory and vestibular sensory epithelia revealed by quantitative mass spectrometry using MS2 intensity.Proceedings of the National Academy of Sciences of the United States of America · 2012Article
- Transcriptome map of mouse isochores.BMC genomics · 2011Article
- Protein database and quantitative analysis considerations when integrating genetics and proteomics to compare mouse strains.Journal of proteome research · 2011Article
- Joint analysis of transcriptional and post- transcriptional brain tumor data: searching for emergent properties of cellular systems.BMC bioinformatics · 2011Article
- Regional regulation of transcription in the bovine genome.PloS one · 2011Article
- Transcriptional coupling of neighboring genes and gene expression noise: evidence that gene orientation and noncoding transcripts are modulators of noise.Genome biology and evolution · 2011Article
- Article
- Integrated network analysis of transcriptomic and proteomic data in psoriasis.BMC systems biology · 2010Article
- Altered gene synchrony suggests a combined hormone-mediated dysregulated state in major depression.PloS one · 2010Article
- Regional regulation of transcription in the chicken genome.BMC genomics · 2010Article
- Solution structure and dynamics of S100A5 in the apo and Ca2+-bound states.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A major advantage of the mouse model lies in the increasing information on its genome, transcriptome, and proteome, as well as in the availability of a fast growing number of targeted and induced mutant alleles. However, data from comparative transcriptome and proteome analyses in this model organism are very limited. We use DNA chip-based RNA expression profiling and 2D gel electrophoresis, combined with peptide mass fingerprinting of liver and kidney, to explore the feasibility of such comprehensive gene expression analyses. Although protein analyses mostly identify known metabolic enzymes and structural proteins, transcriptome analyses reveal the differential expression of functionally diverse and not yet described genes. The comparative analysis suggests correlation between transcriptional and translational expression for the majority of genes. Significant exceptions from this correlation confirm the complementarities of both approaches. Based on RNA expression data from the 200 most differentially expressed genes, we identify chromosomal colocalization of known, as well as not yet described, gene clusters. The determination of 29 such clusters may suggest that coexpression of colocalizing genes is probably rather common.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.