Query ceRNA in prediction data

1. Use Quick Search to enter RNA Symbool or ID here 2. Enter ceRNA details 3. Enter the corresponding data set 4. The number of competing miRNAs in selected ceRNAs and the percentage of samples containing altered ceRNAs 5. Submit

Query ceRNA in experimental validation data

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1.Use Quick Search: Enter Gene ID or Symbol 2.Click to enter a preset word 3.Enter the complete query information 4.Submit

Screening samples based on sample characteristics

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1.Select Disease 2.Submit 3.Adjusting sample parameter thresholds

Screening queries based on experimental methods Biomarker

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1.Enter biomarker ID or Symbol 3.submit 2.Check the experiment method

LncACTdb 3.0 Browse

The browser interface allows the user to browse and access all the information of lncACTdb 3.0.

1. Click on the dataset to show the sample ceRNA network;
2. Click on the RNA to show the sample Bodymap;
3. Click on the Biomarker to show the number of entries information.

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1.Click on the list on the left to browse the corresponding entry 2.The right window shows the corresponding results

LncACTdb 3.0 : LncACT-Function

LncACTdb 3.0 LncRNA functional enrichment tool, which enriches the regulatory nodes of lncRNAs for functional analysis and presents the results

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1.The results are shown; the left side shows the GO function enrichment results, and the right side shows the KEGG pathway enrichment results. 2.The results are shown; the left side shows the GO function enrichment results, and the right side shows the KEGG pathway enrichment results. 3.Enter the lncRNA and the number of functional entries to display

LncACTdb 3.0 : LncACT-Hallmark

Identify ceRNA related cancer hallmarks such as Insensitivity to Antigrowth Signals, Tissue Invasion and Metastasis etc.

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1.Enter LncRNA ID or Symbol 2.The corresponding Hallmark results are shown

LncACTdb 3.0 : LncACT-Cell Location

The tool shows where in the cell the target gene is located.

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1.View detailed information about the location of lncRNA and the source of the data. 2.The query result, the green box indicates that the lncRNA is present at the position 3.Enter lncRNA ID/Symbol

LncACTdb 3.0 : LncACT-Network (Gene-centric)

Illustrate the ceRNA neighbors for a lncRNA/mRNA.

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1.Enter RNA information, network layout and step size 2.Interworking network diagram. Click on the corresponding node to view the details of the node

LncACTdb 3.0 : LncACT-Network (User-designed)

CeRNA network constructed by screening experiments to verify data.

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1.Enter RNA information and the name of the disease (can be empty) 4.Submit 2.Click the button to download the result form 3.The network generated based on the final result. (Click on the corresponding node to see its details)

LncACTdb 3.0 : LncACT-Survival

Perform COX regression analysis and survival curves for ceRNAs across more than 30 types of malignant cancers.

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1.Enter ceRNA information 2.Survival analysis results table. (click the button above to download the results file) 3.Download pdf 4.Forest plot obtained after survival analysis 5.KM Survival Curve

LncACTdb 3.0 : LncACT-Tree

Sample tree based on whether it contains ceRNA.

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1.Enter RNA and disease information 2.Proportion of samples containing ceRNA (pie chart) 3.Proportion of samples containing ceRNA (tree diagram)

LncACTdb 3.0 : LncACT-State

A global view of sample states/behaviors such as angiogenesis, apoptosis, cell cycle, invasion, proliferation, stemness etc.

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1.Enter the sample ID 2.Results Radar Chart

LncACTdb 3.0 : LncACT-BLAST

The BLAST tool is convenient for users to query dataset by inputting custom sequences. Please input a sequence in the following textbox, LncACTdb 3.0 will compare inputting sequence to our database and calculate the statistical significance of matches. Both predicted and experimentally validated ceRNAs which had high similarity (>80% identity) with inputting sequence will be listed in a new page.

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1.Input Sequence 2.Comparison results

LncACTdb 3.0 : LncACT-Network (Patient-specific)

Illustrate sample-specific ceRNA network for a single sample.

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Illustrate sample-specific ceRNA network for a single sample. 1.Enter the sample name and network distribution type 2.Competition for ceRNA in this sample.(click on the node for details)