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4 papers · ranked by Valyu relevance

01
BbioRxiv29 Nov 2018
RISC: robust integration of single-cell RNA-seq datasets with different extents of cell cluster overlap
Yang Liu, Tao Wang, Deyou Zheng
Single cell RNA-seq (scRNA-seq) has remarkably advanced our understanding of cellular heterogeneity and dynamics in tissue development, diseases, and cancers. Integrated data analysis can often uncover molecular and cellular links among individual datasets and thus provide new biological insights, such as developmental…
62relevance
02
BbioRxiv25 Mar 2020
mir-21 is associated with inactive low molecular weight Argonaute complexes in thyroid cancer cell lines
Bonita H. Powell, Andrey Turchinovich, Yongchun Wang, Zhaohao Liao + 6 more
Thyroid cancer is the most prevalent malignancy of the endocrine system. We and others have shown that several microRNAs, which are post-transcriptional gene regulators, are aberrantly expressed in anaplastic thyroid cancer (ATC) and papillary thyroid cancer (PTC) tissues, as well as cell lines derived from these…
56relevance
03
BbioRxiv25 Mar 2026
Structural dynamics between Argonaute-2 and CK1α promote target RNA release in microRNA-mediated silencing
Ankur Garg, Leah Braviner, Armend Axhemi, Brianna Bibel + 1 more
Argonaute (Ago) proteins associate with 20-22 nucleotide (nt) long microRNAs (miRNAs) to constitute the functional RISC core and downregulate mRNAs containing complementarity to the seed sequence^1–3^. Target RNA engagement in RISC stimulates CK1α-mediated phosphorylation of the conserved eukaryotic insertion (EI) in…
53relevance
04
BbioRxiv31 May 2021
U-RISC: an ultra-high-resolution EM dataset challenging existing deep learning algorithms
Ruohua Shi, Wenyao Wang, Zhixuan Li, Liuyuan He + 5 more
Connectomics is a developing field aiming at reconstructing the connection of the neural system at nanometer scale. Computer vision technology, especially deep learning methods used in image processing, has promoted connectomic data analysis to a new era. However, the performance of the state-of-the-art methods still…
51relevance

Results for RISC ProgramExplorer

RISC: robust integration of single-cell RNA-seq datasets with different extents of cell cluster overlap

mir-21 is associated with inactive low molecular weight Argonaute complexes in thyroid cancer cell lines

Structural dynamics between Argonaute-2 and CK1α promote target RNA release in microRNA-mediated silencing

U-RISC: an ultra-high-resolution EM dataset challenging existing deep learning algorithms

RISC: robust integration of single-cell RNA-seq datasets with different extents of cell cluster overlap

mir-21 is associated with inactive low molecular weight Argonaute complexes in thyroid cancer cell lines

Structural dynamics between Argonaute-2 and CK1α promote target RNA release in microRNA-mediated silencing

U-RISC: an ultra-high-resolution EM dataset challenging existing deep learning algorithms