Researchers Harbin Medical University have released LnCeVar 2.0, a powerful database designed to help scientists explore how small genetic variations affect cellular communication in diseases such as cancer. The update integrates RNA sequencing and single-cell transcriptomics data to reveal how specific mutations can disrupt complex gene regulatory networks known as competing endogenous RNA (ceRNA) networks.
The new version offers a massive expansion in both scope and functionality. It now includes nearly 17,000 experimentally verified cancer biomarkers, over 5 million mutation-related ceRNA events, and more than 800 single-cell and spatial transcriptomic datasets covering over 100 diseases and treatment types. These data help scientists understand how subtle genetic changes can alter cell function, impact disease development, and affect responses to therapies like chemotherapy and immunotherapy.
LnCeVar 2.0 also introduces several new visualization tools, including CeVarState, which shows how ceRNA interactions change during cell development, and CeVarSC3D and CeVarST3D, which allow users to analyze gene network “cross talk” in three dimensions. With its easy-to-use interface and extensive curated content, LnCeVar 2.0 provides an essential platform for decoding the complex regulatory mechanisms behind human diseases at a single-cell level.
Availability – LnCeVar 2.0 (available at http://bio-bigdata.hrbmu.edu.cn/LnCeVar or http://www.bio-bigdata.net/LnCeVar)
Guo Q, Liu Q, Xin M, Li H, Li J, Dai Y, Sun R, Zhang Y, He Y, Xu B, Shan X, Gao Y, Ning S, Zhi H, Wang P. (2025) LnCeVar 2.0: an updated resource and web tools for genomic variations disrupting ceRNA networks from single-cell/spatial transcriptomics data. Nucleic Acids Research 53(1): Pages. [article]
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Researchers Harbin Medical University have released LnCeVar 2.0, a powerful database designed to help scientists explore how small genetic variations affect cellular communication in diseases such as cancer. The update integrates RNA sequencing and single-cell transcriptomics data to reveal how specific mutations can disrupt complex gene regulatory networks known as competing endogenous RNA (ceRNA) networks.
The new version offers a massive expansion in both scope and functionality. It now includes nearly 17,000 experimentally verified cancer biomarkers, over 5 million mutation-related ceRNA events, and more than 800 single-cell and spatial transcriptomic datasets covering over 100 diseases and treatment types. These data help scientists understand how subtle genetic changes can alter cell function, impact disease development, and affect responses to therapies like chemotherapy and immunotherapy.
LnCeVar 2.0 also introduces several new visualization tools, including CeVarState, which shows how ceRNA interactions change during cell development, and CeVarSC3D and CeVarST3D, which allow users to analyze gene network “cross talk” in three dimensions. With its easy-to-use interface and extensive curated content, LnCeVar 2.0 provides an essential platform for decoding the complex regulatory mechanisms behind human diseases at a single-cell level.
Availability – LnCeVar 2.0 (available at http://bio-bigdata.hrbmu.edu.cn/LnCeVar or http://www.bio-bigdata.net/LnCeVar)
Guo Q, Liu Q, Xin M, Li H, Li J, Dai Y, Sun R, Zhang Y, He Y, Xu B, Shan X, Gao Y, Ning S, Zhi H, Wang P. (2025) LnCeVar 2.0: an updated resource and web tools for genomic variations disrupting ceRNA networks from single-cell/spatial transcriptomics data. Nucleic Acids Research 53(1): Pages. [article]
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