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DNA is a promising data storage medium due to its remarkable durability and space-efficient storage. Early bit-to-base transcoding schemes have primarily pursued information density, at the expense of introducing biocompatibility challenges or decoding failure. Here we propose a robust transcoding algorithm named the yin–yang codec, using two rules to encode two binary bits into one nucleotide, to generate DNA sequences that are highly compatible with synthesis and sequencing technologies. We encoded two representative file formats and stored them in vitro as 200 nt oligo pools and in vivo as a ~54 kbps DNA fragment in yeast cells. Sequencing results show that the yin–yang codec exhibits high robustness and reliability for a wide variety of data types, with an average recovery rate of 99.9% above 10 4 molecule copies and an achieved recovery rate of 87.53% at ≤10 2 copies. Additionally, the in vivo storage demonstration achieved an experimentally measured physical density close to the theoretical maximum.

Motivated by applications in DNA-based storage, we study explicit encoding and decoding schemes of binary strings satisfying locally balanced constraints, where the \\((\\ell,\\delta)\\)-locally balanced constraint requires that the weight of any consecutive substring of length \\(\\ell\\) is between \\(\\frac{\\ell}{2}-\\delta\\) and \\(\\frac{\\ell}{2}+\\delta\\). In this paper we present coding schemes for the strongly locally balanced constraints and the locally balanced constraints, respectively. Moreover, we introduce an additional result on the linear recurrence formula of the number of binary strings which are \\((6,1)\\)-locally balanced, as a further attempt to both capacity characterization and new coding strategies for locally balanced constraints.

DNA has been considered a promising medium for storing digital information. As an essential step in the DNA-based data storage workflow, coding algorithms are responsible to implement functions including bit-to-base transcoding, error correction, etc. In previous studies, these functions are normally realized by introducing multiple algorithms. Here, we report a graph-based architecture, named SPIDER-WEB, providing an all-in-one coding solution by generating customized algorithms automatically. SPIDERWEB is able to correct a maximum of 4% edit errors in the DNA sequences including substitution and insertion/deletion (indel), with only 5.5% redundant symbols. Since no DNA sequence pretreatment is required for the correcting and decoding processes, SPIDER-WEB offers the function of real-time information retrieval, which is 305.08 times faster than the speed of single-molecule sequencing techniques. Our retrieval process can improve 2 orders of magnitude faster compared to the conventional one under megabyte-level data and can be scalable to fit exabyte-level data. Therefore, SPIDER-WEB holds the potential to improve the practicability in large-scale data storage applications.

DNA is a promising data storage medium due to its remarkable durability and space-efficient storage. Early bit-to-base transcoding schemes have primarily pursued information density, at the expense however of introducing biocompatibility challenges or at the risk of decoding failure. Here, we propose a robust transcoding algorithm named the “Yin-Yang Codec” (YYC), using two rules to encode two binary bits into one nucleotide, to generate DNA sequences highly compatible with synthesis and sequencing technologies. We encoded two representative file formats and stored them in vitro as 200-nt oligo pools and in vivo as an ~54-kb DNA fragment in yeast cells. Sequencing results show that YYC exhibits high robustness and reliability for a wide variety of data types, with an average recovery rate of 99.94% at 104 molecule copies and an achieved recovery rate of 87.53% at 100 copies. In addition, the in vivo storage demonstration achieved for the first time an experimentally measured physical information density of 198.8 EB per gram of DNA (44% of the theoretical maximum for DNA).

Phosphofructokinase-1 (PFK-1), the core rate-limiting enzyme of glycolysis, has transcended its classical metabolic regulatory role and emerged as a multi-dimensional hub in tumour biology. This review systematically delineates the dynamic regulatory networks of PFK-1 isoforms (PFKP, PFKL, PFKM) in cancer: epigenetic remodelling drives tissue-independent expression reprogramming; post-translational modification networks confer metabolic–signalling dual functions; and the dynamic nature of its subcellular localization facilitates noncanonical roles, such as intranuclear transcriptional regulation. These mechanisms collectively orchestrate hallmark oncogenic processes, including tumour proliferation, metastatic invasion, cell death evasion, angiogenesis, immune escape, and metabolic reprogramming. In clinical translation, PFK-1 isoform expression profiles, modification states, and subcellular dynamics exhibit robust correlations with cancer diagnosis, prognosis, and therapeutic response. The isoform-specific modification networks unveil novel targets for developing diagnostic biomarkers and tissue-selective therapeutic strategies. This work not only reestablishes the central role of PFK-1 in tumour metabolic plasticity but also offers a fresh perspective for overcoming cancer treatment challenges. Graphical abstract

Single-cell RNA sequencing methods focusing on the 5′-end of transcripts can reveal promoter and enhancer activity and efficiently profile immune receptor repertoire. However, ultra-high-throughput 5′-end single-cell RNA sequencing methods have not been described. We introduce FIPRESCI, 5′-end single-cell combinatorial indexing RNA-Seq, enabling massive sample multiplexing and increasing the throughput of the droplet microfluidics system by over tenfold. We demonstrate FIPRESCI enables the generation of approximately 100,000 single-cell transcriptomes from E10.5 whole mouse embryos in a single-channel experiment, and simultaneous identification of subpopulation differences and T cell receptor signatures of peripheral blood T cells from 12 cancer patients.

•Expliciting fundamental studies of thermal comfort in non-uniform thermal environments.•Analyzing evaluation indices of non-uniform thermal environments.•Emphasizing differences of comfort studies between uniform and non-uniform environments.•Suggesting some future directions for studies of non-uniform thermal environments. Thermal comfort is critical for ensuring the health and productivity of occupants and knowing their thermal demand could help creat a satisfying environment with the least energy waste. Theory of thermal comfort is built based on experimental studies in uniform and stable environments, while there is still a gap when applying in evaluating human thermal comfort in non-uniform thermal environments. Therefore, an insight into human thermal comfort in non-uniform thermal environments is taken. The fundamental studies of thermal comfort in non-uniform thermal environments are explicated, including thermal comfort theory applied in non-uniform thermal environments, types of non-uniform thermal environments and corresponding studies, physiological and psychological thermal responses in the environments. Besides, the evaluation indices of non-uniform thermal environments are classified according to their definitions and the comfort models are reviewed. Finally, future works in this research field are discussed. In general, the overall thermal comfort and local thermal comfort should be both taken into account in non-uniform thermal environments where skin temperatures and psychological thermal responses of occupants are different among local body segments. Moreover, as studies of local thermal comfort are mainly conducted in thermally neutral condition, the limits considering the state deviating thermal neutrality (slightly warm or cool), which is frequently found in reality, are encouraged to be studied. Finally, a well-defined comprehensive index should be proposed considering heat exchange of human body with their microenvironments and thus the comfort range of the index could be provided for designing of non-uniform thermal environments. [Display omitted]

Previous research has been inconsistent on whether violent video games exert positive and/or negative effects on cognition. In particular, attentional bias in facial affect processing after violent video game exposure continues to be controversial. The aim of the present study was to investigate attentional bias in facial recognition after short term exposure to violent video games and to characterize the neural correlates of this effect. In order to accomplish this, participants were exposed to either neutral or violent video games for 25 min and then event-related potentials (ERPs) were recorded during two emotional search tasks. The first search task assessed attentional facilitation, in which participants were required to identify an emotional face from a crowd of neutral faces. In contrast, the second task measured disengagement, in which participants were required to identify a neutral face from a crowd of emotional faces. Our results found a significant presence of the ERP component, N2pc, during the facilitation task; however, no differences were observed between the two video game groups. This finding does not support a link between attentional facilitation and violent video game exposure. Comparatively, during the disengagement task, N2pc responses were not observed when participants viewed happy faces following violent video game exposure; however, a weak N2pc response was observed after neutral video game exposure. These results provided only inconsistent support for the disengagement hypothesis, suggesting that participants found it difficult to separate a neutral face from a crowd of emotional faces.

Objective Immune checkpoint inhibitor (ICI) therapy activates the immune system to recognize and eliminate cancer cells that have escaped surveillance. This study aimed to compare the treatment outcome of advanced and recurrent cervical cancer patients treated with first-line platinum and paclitaxel with or without ICI. Methods Data from 69 advanced and recurrent cervical cancer patients treated with first-line ICI plus platinum and paclitaxel ( N  = 33) or first-line platinum and paclitaxel ( N  = 36) were reviewed between March 2020 and January 2023 in this retrospective study. Patients chose treatment based on the actual disease condition, patient willingness, and medical advice. Additionally, objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), and overall survival (OS) were calculated, and adverse events were gained. Results There was no difference in baseline data between patients receiving the two different treatments (all P  > 0.05). Complete response rate (18.2% vs. 8.3%; P  = 0.294), ORR (48.5% vs. 30.6%; P  = 0.127), and DCR (81.8% vs. 72.2%; P  = 0.345) tended to ascend in patients treated with ICI plus platinum and paclitaxel compared to those treated with platinum and paclitaxel, although there was no statistical significance. In patients treated with ICI plus platinum and paclitaxel, the median PFS was 10.3 months and the median OS was not reached. Meanwhile, the median PFS and OS were 7.7 and 16.9 months in patients treated with platinum and paclitaxel. PFS ( P  = 0.036) and OS ( P  = 0.033) were increased in patients treated with ICI plus platinum and paclitaxel versus those treated with platinum and paclitaxel, which was verified by multivariate Cox regression analyses (both P  < 0.05). No difference was observed in the occurrence of adverse events between patients receiving the two different treatments (all P  > 0.05). Conclusion First-line ICI plus platinum and paclitaxel yields better treatment responses, longer survival, and non-differential adverse events versus first-line platinum and paclitaxel in advanced and recurrent cervical cancer patients.