Publications by authors named "Peijin Guo"

Motivation: Predicting the binding affinity between antigens and antibodies accurately is crucial for assessing therapeutic antibody effectiveness and enhancing antibody engineering and vaccine design. Traditional machine learning methods have been widely used for this purpose, relying on interfacial amino acids' structural information. Nevertheless, due to technological limitations and high costs of acquiring structural data, the structures of most antigens and antibodies are unknown, and sequence-based methods have gained attention.

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PCR amplification technology is the cornerstone of molecular biology. All-in-One PCR tube, as an emerging integrated device, is booming in biosensors application. All-in-One PCR tube biosensors are integrated PCR tubes designed for signal recognition, signal amplification or signal output.

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Tumor-associated macrophages (TAMs) can dampen the antitumor activity of T cells, yet the underlying mechanism remains incompletely understood. Here, we show that C1q TAMs are regulated by an RNA N-methyladenosine (mA) program and modulate tumor-infiltrating CD8 T cells by expressing multiple immunomodulatory ligands. Macrophage-specific knockout of an mA methyltransferase Mettl14 drives CD8 T cell differentiation along a dysfunctional trajectory, impairing CD8 T cells to eliminate tumors.

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The ever-increasing understanding of the complexity of factors and regulatory layers that contribute to immune evasion facilitates the development of immunotherapies. However, the diversity of malignant tumors limits many known mechanisms in specific genetic and epigenetic contexts, manifesting the need to discover general driver genes. Here, we have identified the mA demethylase FTO as an essential epitranscriptomic regulator utilized by tumors to escape immune surveillance through regulation of glycolytic metabolism.

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