Here we describe a method for constructing small RNA libraries for high-throughput sequencing in which we have made a significant improvement to commonly available standard protocols. We added a locked nucleic acid (LNA) oligonucleotide--named dimer eliminator--that is complementary to the adapter-dimer ligation products during the reverse transcription reaction. It reduces adapter-dimers, which often contaminate standard libraries and increase the number of non-insert sequence reads. This simple technology can be used for simultaneous multiplex sequencing of various barcoded samples as well as nonbarcoded small RNA library sequencing. In this study we also evaluated the reproducibility and quantitative design of the eight barcoded tags by comparing the Pearson's correlation values in the expression analysis between each barcoded sample. This method improves the sequencing yield and efficiency, while simplifying library construction, and makes it easier to perform large-scale small RNA analysis under multiple conditions with next-generation sequencers.
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http://dx.doi.org/10.2144/000113516 | DOI Listing |
BMC Bioinformatics
January 2025
Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing Anzhen Hospital of Capital Medical University, Beijing, 101100, China.
Background: MicroRNAs (miRNAs) are pivotal in the initiation and progression of complex human diseases and have been identified as targets for small molecule (SM) drugs. However, the expensive and time-intensive characteristics of conventional experimental techniques for identifying SM-miRNA associations highlight the necessity for efficient computational methodologies in this field.
Results: In this study, we proposed a deep learning method called Multi-source Data Fusion and Graph Neural Networks for Small Molecule-MiRNA Association (MDFGNN-SMMA) to predict potential SM-miRNA associations.
Discov Oncol
January 2025
Spinal Surgery Department, the Fourth People's Hospital of Jinan, No.50 Normal Road, Tianqiao District, Jinan, 250031, Shandong, China.
Background: It is known that genomic instability contributes to cancer development. Mitotically associated long non-coding RNA (MANCR) has been reported to promote genomic stability, suggesting its involvement in cancers. Therefore, this study was conducted to investigate the role of MANCR in non-small cell lung cancer (NSCLC).
View Article and Find Full Text PDFNat Chem Biol
January 2025
Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL, USA.
Cell-free systems are powerful synthetic biology technologies that can recapitulate gene expression and sensing without the complications of living cells. Cell-free systems can perform more advanced functions when genetic circuits are incorporated. Here we expand cell-free biosensing by engineering a highly specific isothermal amplification circuit called polymerase strand recycling (PSR), which leverages T7 RNA polymerase off-target transcription to recycle nucleic acid inputs within DNA strand displacement circuits.
View Article and Find Full Text PDFRNA
January 2025
MRC University of Glasgow Centre for Virus Research, University of Glasgow.
Cytoplasmic viruses interact intricately with the nuclear pore complex and nuclear import/export machineries, affecting nuclear-cytoplasmic trafficking. This can lead to the selective accumulation of nuclear RNA-binding proteins (RBPs) in the cytoplasm. Pioneering research has shown that relocated RBPs serve as an intrinsic defence mechanism against viruses, which involves RNA export, splicing and nucleolar factors.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Department of Orthopedic Surgery, Changzheng Hospital, Naval Medical University, Shanghai, 200003, P. R. China.
Nucleus pulposus cell (NPC) senescence contributes to intervertebral disc degeneration (IVDD). However, the underlying molecular mechanisms are not fully understood. In this study, it is demonstrated that angiotensin-converting enzyme 2 (ACE2) counteracted the aging of NPCs and IVDD at the cellular and physiological levels.
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