ArticleCell systems2018
GeneGini: Assessment via the Gini Coefficient of Reference "Housekeeping" Genes and Diverse Human Transporter Expression Profiles.
Article in Cell systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.
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
46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 104 citations in OpenAlex.
- PancrESS - a meta-analysis resource for understanding cell-type specific expression in the human pancreas.BMC genomics · 2024Pooled it
- A comprehensive evaluation of full-spectrum cell-free RNAs highlights cell-free RNA fragments for early-stage hepatocellular carcinoma detection.EBioMedicine · 2023Pooled it
- The Gini coefficient as a surrogate for the regulability or homeostasis of metabolite concentrations: focus on ergothioneine.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Generalizable, high-throughput image analysis of subcellular structures using dispersion indices.iScience · 2026Article
- Human clearance systems have a layered architecture across tissues and cell types that supports varied proteome compositions.Autophagy · 2026Article
- Modelling reliable metabolic phenotypes by analysing the context-specific transcriptomics data.NPJ systems biology and applications · 2025Article
- A visualization tool for individual gene expression profiles among males and females in GTEx tissues.Biology of sex differences · 2025Article
- Determining gene specificity from multivariate single-cell RNA sequencing data.bioRxiv : the preprint server for biology · 2025Article
- Platelets sequester extracellular DNA, capturing tumor-derived and free fetal DNA.Science (New York, N.Y.) · 2025Article
- Data- and knowledge-derived functional landscape of human solute carriers.Molecular systems biology · 2025Article
- Role of solute carrier transporters in ovarian cancer (Review).International journal of molecular medicine · 2025Review
- Golden Gate Assembly of Transcriptional Unit Libraries into a Rearrangeable Gene Cluster.Methods in molecular biology (Clifton, N.J.) · 2025Article
- The Biology and Biochemistry of Kynurenic Acid, a Potential Nutraceutical with Multiple Biological Effects.International journal of molecular sciences · 2024Review
- Clover: An unbiased method for prioritizing differentially expressed genes using a data-driven approach.Genes to cells : devoted to molecular & cellular mechanisms · 2024Article
- Housekeeping protein-coding genes interrogated with tissue and individual variations.Scientific reports · 2024Article
- Article
- Depletion of lamins B1 and B2 promotes chromatin mobility and induces differential gene expression by a mesoscale-motion-dependent mechanism.Genome biology · 2024Article
- ProCogGraph: a graph-based mapping of cognate ligand domain interactions.Bioinformatics advances · 2024Article
- Functional filter for whole-genome sequencing data identifies HHT and stress-associated non-coding SMAD4 polyadenylation site variants >5 kb from coding DNA.American journal of human genetics · 2023Article
- Membrane transporters in cell physiology, cancer metabolism and drug response.Disease models & mechanisms · 2023Review
Corrections and comments
- Commented on by
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
The expression levels of SLC or ABC membrane transporter transcripts typically differ 100- to 10,000-fold between different tissues. The Gini coefficient characterizes such inequalities and here is used to describe the distribution of the expression of each transporter among different human tissues and cell lines. Many transporters exhibit extremely high Gini coefficients even for common substrates, indicating considerable specialization consistent with divergent evolution. The expression profiles of SLC transporters in different cell lines behave similarly, although Gini coefficients for ABC transporters tend to be larger in cell lines than in tissues, implying selection. Transporter genes are significantly more heterogeneously expressed than the members of most non-transporter gene classes. Transcripts with the stablest expression have a low Gini index and often differ significantly from the "housekeeping" genes commonly used for normalization in transcriptomics/qPCR studies. PCBP1 has a low Gini coefficient, is reasonably expressed, and is an excellent novel reference gene. The approach, referred to as GeneGini, provides rapid and simple characterization of expression-profile distributions and improved normalization of genome-wide expression-profiling data.
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.