Recognizing multiple labels of images is a practical and challenging task, and significant progress has been made by searching semantic-aware regions and modeling label dependency. However, current methods cannot locate the semantic regions accurately due to the lack of part-level supervision or semantic guidance. Moreover, they cannot fully explore the mutual interactions among the semantic regions and do not explicitly model the label co-occurrence.
Albeit with low content, 5-formyluracil has been an important modification in genomic DNA. 5-formyluracil was found to be widely distributed among living bodies. Due to the equilibrium of keto−enol form, 5-formyluracil could be base-paired with guanine, thus inducing mutations in DNA. The highly reactive aldehyde group of 5-formyluracil could also cross-link with proteins nearby, preventing gene replication and expression. In certain cancerous tissues, the content of 5-formyluracil was found to be higher than the normal tissues adjacent to the tumor, and 5-formyluracil might be an important potential epigenetic mark. Nevertheless, the lack of a higher resolution sequencing technique has hampered the studies of 5-formyluracil. We adjusted the base-pairing of 5-formyluracil during the PCR amplification by changing the pH. Hence, we adopted the Alkaline Modulated 5-formyluracil Sequencing (AMfU-Seq), a single-base resolution analysis method, to profile 5-formyluracil at the genome scale. We analyzed the distribution of 5formyluracil in the human thyroid carcinoma cells using AMfU-Seq. This technique can be used in the future investigations of 5-formyluracil.
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