Schema for GTEx Transcript - Transcript Expression in 53 tissues from GTEx RNA-seq of 8555 samples/570 donors
  Database: hg38    Primary Table: gtexTranscExpr Data last updated: 2017-05-24
Big Bed File: /gbdb/hg38/gtex/
Item Count: 189,614
Format description: BED6+5 with additional fields for category count and median values, and sample matrix fields
chromchr1Reference sequence chromosome or scaffold
chromStart166042243Start position in chromosome
chromEnd166042350End position in chromosome
nameENST00000384611Transcript identifier
score0Score from 0-1000, typically derived from total of median value from all categories
strand++ or - for strand. Use . if not applicable
name2RNA5SP64Hugo gene name
expCount53Number of categories
expScores0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0Comma separated list of category values
_dataOffset1504111096Offset of sample data in data matrix file, for boxplot on details page
_dataLen16200Length of sample data row in data matrix file

Sample Rows
chr1166042243166042350ENST000003846110+RNA5SP64530.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0, ...150411109616200
chr1166057425166166225ENST00000435676777-FAM78B530.67,0.61,0.40,0.33,0.44,0.38,1.70,1.63,3.13,1.88,7.09,7.32,4.78,5.09,2.17,1.70,3.11,1.43,0.63,0.79,0.76,0.18,0.16,0.84,1.42,1.5 ...253648146466984
chr1166059688166166381ENST00000456900222-FAM78B530.10,0.07,0.05,8.28,0.05,0.03,0.19,0.04,0.11,0.05,0.36,0.43,0.16,0.17,0.05,0.07,0.12,0.03,0.0,0.04,0.08,0.0,0.0,0.16,0.18,0.13,0 ...306169977851430
chr1166059900166166234ENST00000441649333-FAM78B530.21,0.19,0.08,0.07,0.10,0.08,0.43,0.08,0.10,0.13,0.36,0.39,0.13,0.15,0.12,0.09,0.18,0.06,0.04,0.07,0.18,0.21,0.09,0.29,0.17,0.2 ...268321337963041
chr1166070018166166715ENST00000354422222-FAM78B530.12,0.17,0.06,0.08,0.06,0.09,3.60,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.14,0.80,0.09,0.10,0.15,0.05,0.04,0.07,0 ...85912638549659
chr1166070019166166969ENST000003383530-FAM78B530.0,0.0,0.0,0.0,0.0,0.0,0.26,0.0,0.01,0.0,0.0,0.02,0.0,0.04,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0, ...73085326928582
chr1166081182166087483ENST00000366136666+RP11-375H19.2530.63,0.74,0.27,0.69,0.64,0.59,0.67,0.34,0.37,0.39,1.31,1.39,0.42,0.42,0.39,0.44,0.44,0.25,0.65,0.33,0.78,0.40,0.32,0.71,1.11,0.7 ...104141601166719
chr1166147781166165095ENST00000451784666-RP11-9L18.3531.11,1.03,0.49,0.99,0.83,0.70,0.95,0.33,0.35,0.53,1.59,1.63,0.46,0.40,0.34,0.44,0.79,0.35,0.42,0.35,1.12,1.29,0.42,1.20,1.65,0.8 ...293512546465500
chr1166154742166154798ENST000004011330-MIR921530.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0, ...177759220516721
chr1166334883166335762ENST00000425271555+RP11-479J7.2530.12,0.0,0.0,0.0,0.0,0.0,0.0,1.29,1.48,2.43,1.44,1.24,1.80,1.78,1.73,0.77,5.76,1.60,0.13,0.20,0.12,0.0,0.0,0.0,0.18,0.24,0.0,0.0 ...227769979741827

GTEx Transcript (gtexTranscExpr) Track Description


The NIH Genotype-Tissue Expression (GTEx) project was created to establish a sample and data resource for studies on the relationship between genetic variation and gene expression in multiple human tissues. This track displays median transcript expression levels in 53 tissues, based on RNA-seq data from the GTEx midpoint milestone data release (V6, October 2015). To view the GTEx tissues in anatomical context, see the GTEx Body Map.

Data for this track were computed at UCSC from GTEx RNA-seq sequence data using the Toil pipeline running the kallisto transcript-level quantification tool.

Display Conventions

In Full and Pack display modes, expression for each transcript is represented by a colored bar chart, where the height of each bar represents the median expression level across all samples for a tissue, and the bar color indicates the tissue.

The bar chart display has the same width and tissue order for all transcripts. Mouse hover over a bar will show the tissue and median expression level. The Squish display mode draws a rectangle for each gene, colored to indicate the tissue with highest expression level if it contributes more than 10% to the overall expression (and colored black if no tissue predominates). In Dense mode, the darkness of the grayscale rectangle displayed for the transcript reflects the total median expression level across all tissues.

Click-through on a graph displays a boxplot of expression level quartiles with outliers, per tissue.


Tissue samples were obtained using the GTEx standard operating procedures for informed consent and tissue collection, in conjunction with the National Cancer Institute Biorepositories and Biospecimen. All tissue specimens were reviewed by pathologists to characterize and verify organ source. Images from stained tissue samples can be viewed via the NCI histopathology viewer. The Qiagen PAXgene non-formalin tissue preservation product was used to stabilize tissue specimens without cross-linking biomolecules.

RNA-seq was performed by the GTEx Laboratory, Data Analysis and Coordinating Center (LDACC) at the Broad Institute. The Illumina TruSeq protocol was used to create an unstranded polyA+ library sequenced on the Illumina HiSeq 2000 platform to produce 76-bp paired end reads at a depth averaging 50M aligned reads per sample.

Sequence reads for this track were quantified to the hg38/GRCh38 human genome using kallisto assisted by the GENCODE v23 transcriptome definition. Read quantification was performed at UCSC by the Computational Genomics lab, using the Toil pipeline. The resulting kallisto files were combined to generate a transcript per million (TPM) expression matrix using the UCSC tool, kallistoToMatrix. Average TPM expression values for each tissue were calculated and used to generate a bed6+5 file that is the base of the track. This was done using the UCSC tool, expMatrixToBarchartBed. The bed track was then converted to a bigBed file using the UCSC tool, bedToBigBed.

The data in the hg19/GRCh37 version of this track was generated by converting the coordinates from the hg38/GRCh38 track data. Of the 189,615 BED entries from the original hg38 track, 176,220 were mapped over by transcript name to hg19 using wgEncodeGencodeCompV24lift37 (~93% coverage).

Subject and Sample Characteristics

The scientific goal of the GTEx project required that the donors and their biospecimen present with no evidence of disease. The tissue types collected were chosen based on their clinical significance, logistical feasibility and their relevance to the scientific goal of the project and the research community. Postmortem samples were collected from non-diseased donors with ages ranging from 20 to 79. 34.4% of donors were female and 65.6% male.

Additional summary plots of GTEx sample characteristics are available at the GTEx Portal Tissue Summary page.


Samples were collected by the GTEx Consortium. RNA-seq was performed by the GTEx Laboratory, Data Analysis and Coordinating Center (LDACC) at the Broad Institute. John Vivian, Melissa Cline, and Benedict Paten of the UCSC Computational Genomics lab were responsible for the sequence read quantification used to produce this track. Kate Rosenbloom and Chris Eisenhart of the UCSC Genome Browser group were responsible for data file post-processing and track configuration.


J. Vivian et al., Rapid and efficient analysis of 20,000 RNA-seq samples with Toil bioRxiv bioRxiv, vol. 2, p. 62497, 2016.

GTEx Consortium. The Genotype-Tissue Expression (GTEx) project. Nat Genet. 2013 Jun;45(6):580-5. PMID: 23715323; PMC: PMC4010069

Carithers LJ, Ardlie K, Barcus M, Branton PA, Britton A, Buia SA, Compton CC, DeLuca DS, Peter-Demchok J, Gelfand ET et al. A Novel Approach to High-Quality Postmortem Tissue Procurement: The GTEx Project. Biopreserv Biobank. 2015 Oct;13(5):311-9. PMID: 26484571; PMC: PMC4675181

Melé M, Ferreira PG, Reverter F, DeLuca DS, Monlong J, Sammeth M, Young TR, Goldmann JM, Pervouchine DD, Sullivan TJ et al. Human genomics. The human transcriptome across tissues and individuals. Science. 2015 May 8;348(6235):660-5. PMID: 25954002; PMC: PMC4547472

DeLuca DS, Levin JZ, Sivachenko A, Fennell T, Nazaire MD, Williams C, Reich M, Winckler W, Getz G. RNA-SeQC: RNA-seq metrics for quality control and process optimization. Bioinformatics. 2012 Jun 1;28(11):1530-2. PMID: 22539670; PMC: PMC3356847