口诀法
发表于 2025-3-28 15:50:15
Dipankar Das,Prasanta Kumar Routs damaged bases and conversion of the damaged sites into double-strand breaks using specific DNA repair enzymes. Library sequencing of the opened circles yields the precise positions of the DNA lesions that are present. CD-seq can be adopted to various types of DNA damage as long as a specific cleavage scheme can be designed.
thalamus
发表于 2025-3-28 21:43:54
Generating Mitochondrial-Nuclear Exchange (MNX) Mice to Identify Mitochondrial Determinants of Cancreactive oxygen species, altering the microbiota, and influencing immune responses to cancer cells. Although the focus of this report is cancer metastasis, MNX mice have proven to be valuable in studying mitochondrial contributions to other diseases as well.
水獭
发表于 2025-3-29 00:51:55
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涂掉
发表于 2025-3-29 06:20:26
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钳子
发表于 2025-3-29 11:18:09
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APEX
发表于 2025-3-29 13:19:06
New Horizons for Failing Heart Syndromenvoluting complex biological questions. Based on our practical experience in the past 3 years with DSP, we share here a detailed hands-on protocol and key handling notes that will allow the broader community to optimize their work procedure.
semble
发表于 2025-3-29 17:29:39
Genome-Wide Analysis of Palindrome Formation with Next-Generation Sequencing (GAPF-Seq) and a Bioind replication forks, all of which are common adverse early events in cancer. Here, we describe the protocol for enriching palindromes from genomic DNA sources with low-input DNA amounts and detail a bioinformatics tool for assessing the enrichment and location of de novo palindrome formation from low-coverage whole-genome sequencing data.
Lumbar-Spine
发表于 2025-3-29 22:12:35
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佛刊
发表于 2025-3-30 02:11:10
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Occipital-Lobe
发表于 2025-3-30 07:37:44
Integration of Single-Cell RNA-Sequencing and Network Analysis to Investigate Mechanisms of Drug Rel describes a computational analysis pipeline to study drug resistance by subjecting scRNA-seq expression data to Passing Attributes between Networks for Data Assimilation (PANDA), an integrative network analysis tool that incorporates protein–protein interactions (PPI) and transcription factor (TF)-binding motifs.