CattleCell-GTEx / Help
Database
user guide.
How to search the CattleCell-GTEx database, select datasets, filter and sort result tables, view plots, and download data. This guide explains website operations, not how to run the underlying analyses.
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Choose a database entry point
Use the homepage search for a gene or variant, or select a dataset from the navigation menu to browse its records. Tissue and cell-type filters are available only in tables with the corresponding input boxes; the homepage search is not a tissue or trait search.
A few controls you will use throughout
- Filter: on a dataset page, type into an input beneath a column heading and press Enter. Multiple column filters are applied together. Clear an input and press Enter to remove that filter. Text filters generally match the beginning of a value, rather than any occurrence within it; check the returned identifiers even when entering a full ID. Numeric inputs are not range expressions: do not enter conditions such as
<0.05. - Read a field: hover over the exclamation-mark icon beside a column name for its definition. A displayed column is not necessarily filterable or sortable.
- Sort: select a sortable heading to change the order. Only supported fields can be sorted; the request is applied on the server.
- Navigate: use the table pagination controls and horizontal scrollbar to see additional rows and columns.
- Export: “Export current page” saves the displayed page, not every matching record. Use Download for available bulk files.
Find your starting point
Home & search
Search from the homepage box or select the search icon at the end of the navigation menu on any page. Both open the same combined results page. The result groups shown depend on whether you search for a gene or a variant.
- Gene search (gene symbol or Ensembl gene ID): shows molecular expression, expression plots, JBrowse, QTL, fine mapping, independent signals, colocalization and TWAS.
- Variant search (for example,
1_38204722): shows QTL, fine mapping and independent signals. Molecular expression, expression plots, JBrowse, colocalization and TWAS are hidden for this search type.
A result group hidden for a variant search is expected interface behavior, not a query error. A visible group may still have no matching records in its dataset.
- Enter a gene symbol such as
HADH, an Ensembl gene ID such asENSBTAG00000015728, or a variant ID such as1_38204722in the homepage box or navigation search panel. Use the shown capitalization and remove surrounding spaces. - Submit the search. A gene symbol is looked up to obtain its gene ID; a gene ID is used to query the result tables, with a gene-name lookup for the expression plot and JBrowse. Variant searches use the supplied identifier.
- Expand a result group and select its dataset tab. Browse, sort supported columns or export the current page. The search identifier remains applied across the result tables; use the navigation search icon to start a new search. A match in one dataset does not imply a match in every other dataset.
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Browse expression and fraction data
Molecular phenotypes
Gene expression
Find a gene and inspect its expression across tissues or tissue–cell-type combinations. The table includes genomic coordinates and separate chart controls for the two expression views.
- Open Molecular phenotypes → Gene expression. Filter by Gene Id, Start, End or Chromosome, then press Enter. This table has no gene-symbol, tissue or cell-type filter; use the homepage search first if you only know a gene symbol.
- Select the chart icon under Tissue Expression or Tissue_Celltype Expression in the required gene's row.
- Both box-plot views display
log2(TPM + 1)for non-zero TPM records and order groups by ascending median expression. They show distributions, not a single average expression value. Hover over the plot to inspect values; close the dialog to return to the table.
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Cell type fraction
Open Molecular phenotypes → Cell type fraction. Filter by IID (sample), Tissue, Cell type or a numeric Fraction value, then press Enter. Select the icon in Plot to open a stacked bar chart for that row's tissue, with separate cell-type series. Zero-fraction records are excluded from both the table and plot queries.
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Browse eQTL datasets
QTL / eQTL
Select the analysis context before filtering. The four eQTL entries are separate datasets, not interchangeable views of a single result.
The menu offers Bulk_eQTL, Cellstate_ieQTL, Celltype_ieQTL and Celltype_seQTL. Select one to open its table.
- Choose a dataset under QTL → eQTL.
- Enter a gene ID in
pheno_id, a tissue intissue_name, a variant ID invariant_id_xor a dbSNP ID inrsid, then press Enter. TryENSBTAG00000015728in Bulk_eQTL. Thecelltype_namecolumn is displayed but has no filter input. - The table initially sorts
pval_g1_xin ascending order. Select that heading to reverse the order, use the page controls to browse more matches, or export the current page. The other eQTL columns do not have sorting controls.
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Viewing result columns
Scroll horizontally to reach additional columns, including REF, ALT, beta_g1_x and pval_g1_x. Hover over a column's information icon for its definition, or select the pval_g1_x heading to switch the sort order.
Browse fine-mapping records
Fine mapping
Browse the stored fine-mapping results for Bulk_eQTL or Celltype_seQTL. Selecting a dataset displays existing records; it does not run a new fine-mapping analysis.
- Select QTL → Fine mapping and choose a dataset.
- Filter using the
SNP,rsid,geneortissue_nameinput, then press Enter. - Results initially sort by PIP in descending order. Select the PIP heading to reverse it.
cs,ctand annotation columns are available for reading, not filtering.
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Browse independent-signal data
Independent signals
Browse the bulk or cell-type independent-signal tables. Each record includes gene, tissue and model fields.
- Choose QTL → Independent, then Bulk_eQTL or Celltype_eQTL.
- Filter by
pheno_id,tissue,map_modelorvariant_idand press Enter. - Scroll to view
beta_g1,beta_se_g1andpval_g1. Theaf,beta_g1,beta_se_g1andpval_g1headings support sorting.
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Browse model and result tables
TWAS
TWAS models
Open TWAS → TWAS models. Enter an Ensembl gene ID in gene or a gene symbol in gene_name, then press Enter. This table displays stored prediction-model metrics; it has no tissue or cell-type columns and does not train a new model.
Sortable fields are test_R2_avg, test_R2_sd, cv_R2_sd, rho_avg, rho_se, rho_avg_squared, zscore_pval, cv_rho_avg_squared, cv_zscore_pval and cv_pval_est. Hover over a field's exclamation-mark icon for its definition.
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TWAS results
Open TWAS → TWAS results. Filter by gene or gene_name and press Enter. Scroll horizontally to read the columns displayed as tissue_celltype (underlying field tissue_ct) and trait_name; these columns have no filter inputs. You can sort pvalue, zscore, effect_size, pred_perf_r2, pred_perf_pval and best_gwas_p.
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Trait names & descriptions 44 traits in TWAS results
Use this reference to interpret the abbreviations in the trait_name column.
44 of 44 traits
| Abbreviation | Full trait name | Description |
|---|---|---|
Dtr_Calv_Ease | Daughter calving ease | Ease of calving experienced by daughters during parturition. |
Dtr_Still_Birth | Daughter stillbirth | Incidence of stillbirths in calves delivered by daughters. |
Sire_Calv_Ease | Sire calving ease | Genetic effect of sires on calving difficulty in offspring. |
Sire_Still_Birth | Sire stillbirth | Genetic effect of sires on stillbirth incidence in offspring. |
gestleng | Gestation length | Duration of pregnancy from conception to calving. |
CALC | Hypocalcemia | Susceptibility to low blood calcium levels (milk fever). |
DSAB | Displaced Abomasum | Susceptibility to displacement of the abomasum in dairy cattle. |
KETO | Ketosis | Susceptibility to metabolic ketosis during lactation. |
MAST | Mastitis | Susceptibility to udder inflammation and infection. |
METR | Metritis | Susceptibility to uterine infection after calving. |
RETP | Retained Placenta | Failure to expel placenta after calving. |
Calf_Livability | Calving livability | Survival rate of calves at or shortly after birth. |
Cow_Conc_Rate | Cow conception rate | Fertility trait measuring conception success in cows. |
Dtr_Preg_Rate | Daughter pregnancy rate | Reproductive efficiency based on daughter pregnancy performance. |
Early_calving | Early calving | Tendency for heifers or cows to calve earlier. |
Heifer_Conc_Rate | Heifer conception rate | Fertility trait measuring conception success in heifers. |
Livability | Livability | Overall survival and longevity of cows in the herd. |
Net_Merit | Net Merit | Composite economic index summarizing overall profitability. |
Prod_Life | Productive life | Length of productive lifespan in dairy production. |
SCS | Somatic cell score | Indicator of udder health and mastitis resistance. |
Body_depth | Body depth | Depth of the body cavity and rib structure. |
Dairy_form | Dairy form | Overall dairy character and angularity of the cow. |
Feet_and_legs | Feet and legs | Structural quality and soundness of feet and legs. |
Final_score | Final score | Overall conformation evaluation score. |
Foot_angle | Foot angle | Angle and structure of the hoof and pastern. |
Fore_udder_att | Fore udder attachment | Strength and quality of fore udder attachment. |
Front_teat_pla | Front teat placement | Position of front teats relative to udder structure. |
Rear_legs(rear) | Rear legs (rear view) | Rear leg structure evaluated from the back view. |
Rear_legs(side) | Rear legs (side view) | Rear leg structure evaluated from the side view. |
Rear_teat_pla | Rear teat placement | Position of rear teats relative to udder structure. |
Rear_ud_height | Rear udder height | Height of rear udder attachment. |
Rear_ud_width | Rear udder weight | Width of rear udder attachment. |
Rump_angle | Rump angle | Angle and slope of the rump structure. |
Rump_width | Rump width | Width of the rump and pelvic region. |
Stature | Stature | Overall body height of the animal. |
Strength | Strength | Overall body strength and robustness. |
Teat_length | Teat length | Length of teats used for milking. |
Udder_cleft | Udder cleft | Strength of the median suspensory ligament of the udder. |
Udder_depth | Udder depth | Depth of the udder relative to the hock. |
Fat | Fat yield | Total milk fat production. |
Fat_Percent | Fat percentage | Percentage of fat content in milk. |
Milk | Milk yield | Total volume of milk production. |
Pro_Percent | Protein percentage | Percentage of protein content in milk. |
Protein | Protein yield | Total milk protein production. |
No matching traits. Try another keyword or clear the search.
Browse colocalization records
Colocalization
The navigation provides separate gene-level and QTL-level result tables. Choose the corresponding entry before filtering records.
Gene-level results
Under Colocalization, choose Bulk_eGene, Cellstate_ieGene, Celltype_ieGene or Celltype_seGene. Filter by gene_id, tissue or celltype and press Enter. The traits column is display-only. Only the displayed res.summary heading (underlying field res_summary) supports sorting; hover over its information icon for the field definition.
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QTL-level results
Choose Bulk_eQTL, Celltype_eQTL or Celltype_ieQTL to inspect the corresponding QTL records. Filter by pheno_id or variant_id and press Enter; tissue_name and trait_name are display-only. Scroll horizontally to view additional fields. The af, beta_g1, beta_se_g1 and pval_g1 headings support sorting.
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Browse selection-signal data
Selection Signal
The current entry opens the fst10_cseQTL dataset, with identifier and annotation columns.
- Filter by
pheno_id,tissue_name,ct_nameor the column labelledvaraint_id, then press Enter. - You can also filter by
ATAC_status,Chromatin_state,EnrichmentorSNP_annotation. - Hover over an information icon for the column definition. No headings in this table provide sorting controls.
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Work with the source files
Download
The Download page groups dataset file links. Some files are listed now; the page notes that the complete dataset will be made available upon publication.
- Locate the relevant category and read the dataset description.
- Expand a grouped category where an expansion control is provided.
- Select the download icon for the required file. Links may open an external file host; large transfers depend on that host and your connection.
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When you need a hand
FAQ & support
Why does my search return no records?
Check the identifier format and spelling, select the intended dataset, and clear restrictive filters. A successfully loaded table with zero matches is different from a request that fails or stays on a loading indicator. If loading fails, record the module, query and filters, then contact support.
Why are results different between modules?
Each module queries a different dataset. Available columns and matching record counts may differ even when you use the same identifier.
Why is my exported CSV smaller than the match count?
“Export current page” exports only the currently displayed page. The total count describes all matching rows. Visit Download for available bulk files.
How do I see columns or plots that are off screen?
Scroll horizontally within wide tables. On gene-expression and cell-fraction pages, select a chart icon to open the plot. On this Help page, select a screenshot to enlarge it; press Escape or use Close to return.
Why are some result groups hidden?
On the combined search page, gene searches show molecular expression, expression plots, JBrowse, QTL, fine mapping, independent signals, colocalization and TWAS. Variant searches show only QTL, fine mapping and independent signals; the other groups are hidden by design. See Home & search for examples.
How should I cite the resource?
Use the citation shown on the homepage and check the linked publication for its current bibliographic details. Record the dataset context and access date for your analysis.
Still need help?
Include the module, query identifier, selected filters and a description of what happened. Do not send passwords or private data.
Technical support ↗Scientific enquiries ↗Screenshots are cropped from real interface captures at a 2560 × 1440 viewport. Enlarge an image to view it fitted to the window. They are examples, not a guarantee of current row counts or data availability.