Biomedical subjects

Lin Yang

Publications and source records attributed to Lin Yang.

5 recordsLinked to original sources

PubMed2026

A retinoic acid autoregulatory loop governing prefrontal-motor arealization.

The frontal lobe comprises the prefrontal association cortex (PFC), which supports complex cognition and goal-directed behaviour, and the motor cortex (MC), which executes movement1-14. The establishment of distinct regional identities and connections along the sensorimotor-to-association axis provides a fundamental scaffold for cortical areal organization and function15-19. Retinoic acid (RA) signalling has emerged as a key regulator of PFC development19-26. However, the mechanisms that spatially confine RA signalling within the developing PFC, and the downstream RA-responsive gene networks, remain poorly understood. Here we define an RA-associated gene regulatory network in the developing human PFC and identify MEIS2, which encodes a transcription factor linked to intellectual disability and autism spectrum disorder, as a key hub of this network. Conditional deletion of Meis2 in postmitotic cortical excitatory neurons in mice results in a partial respecification of prospective prefrontal association territories towards motor-like molecular and connectivity features, highlighting a critical role of postmitotic neurons in establishing and maintaining cortical areal identities. Concomitant with Meis2 loss, the population of excitatory neurons expressing the RA-synthesizing enzyme ALDH1A3, and consequently RA signalling itself, is substantially reduced in the developing medial PFC (mPFC). These findings reveal a conserved autoregulatory loop, RA → MEIS2 → ALDH1A3 → RA, that reinforces a PFC-enriched RA gradient and organizes the MC-PFC axis. Together, our findings reveal a postmitotic mechanism by which specific features of neuronal identity reinforce RA signalling to define key features of prefrontal and motor cortical territories, linking a classic morphogen to transcriptional identity, neural circuit formation and function, and potentially to neuropsychiatric disorders.

Journal Article↗

PubMed2026

Positional grammar of transcription factor binding partitions developmental and stress-response regulation in plants.

Understanding how transcription factor binding site (TFBS) position influences gene regulation remains a fundamental challenge in plants. Here, we integrate conserved multiDAP TFBS maps for 244 transcription factors (TFs) with single-nucleus chromatin accessibility, cell type-resolved gene expression, and hormone-response datasets across Brassicaceae species to determine how TFBS position relates to regulatory function. Although conserved TFBSs are enriched near transcription start sites (TSSs), TSS-proximal accessibility poorly predicts cell type-specific expression. Instead, cell type-specific expression correlates best with conserved TFBSs embedded in cell type-restricted chromatin, with TF family-specific distributions across distal promoters and introns. In contrast, TSS-proximal TFBSs in broadly accessible chromatin are associated with rapid transcriptional responses to abiotic and biotic stress hormones. Coding sequence TFBSs mark a distinct regulatory context in which the same DNA sequence encodes both amino acid sequence and TF motifs, including evidence that CDS-localized ABR1 binding may contribute to repression during hormone response. Finally, distal upstream regions contain conserved multi-family TF clusters with enhancer-like features overlapping rare cell type-specific accessible chromatin and enriched near genes controlling embryonic, meristematic, and hormone-dependent developmental patterning. Together, these results support a positional grammar in which TFBS position and chromatin context jointly partition developmental, stress-responsive, and repressive regulatory output in plants.

Transcription Factors↗

PubMed2025

Integrative multi-omics profiling deciphers tumor microenvironment heterogeneity and immunotherapy vulnerabilities in lung neuroendocrine carcinomas.

INTRODUCTION: Lung neuroendocrine carcinomas (Lu-NECs) are rare, highly aggressive lung tumors with poor prognosis and limited therapeutic options. Understanding the tumor immune microenvironment (TIME) is crucial towards personalized therapeutic strategies. OBJECTIVES: This study aims to systematically characterize the heterogeneity and complexity of the TIME in Lu-NECs by integrating proteomic, transcriptomic, and genomic data. METHODS: We performed comprehensive immune-proteomic profiling of 76 Lu-NECs across diverse histopathological subtypes to elucidate intra-tumoral TIME heterogeneity at the proteomic level. Validation was conducted in multiple independent cohorts, including 112 Lu-NECs using immunohistochemistry, 147 Lu-NECs, and 17 small cell lung carcinoma samples using transcriptomics. We integrated proteomic, transcriptomic, genomic, and clinical data to assess molecular, immunological, and clinical features, as well as therapeutic vulnerabilities across different immune subtypes. RESULTS: We delineated the immuno-proteomic landscape of Lu-NECs and identified two major immuno-proteomic clusters with distinct immunological, molecular, and clinical characteristics. IPC1 was characterized by high immune cell infiltration, while IPC2 exhibited sparse immune cell presence. Genomic analysis revealed distinct mutational patterns, with IPC1 showing a higher incidence of APOBEC-associated mutation signatures and IPC2 being enriched for mutations associated with defective DNA mismatch repair and tobacco-related mutagens. Functional analyses indicated that IPC1 was related to immune and oncogenic signaling activity, whereas IPC2 was associated with cancer stemness and proliferation-related features. Furthermore, IPC1 and IPC2 demonstrated histological subtype-specific clinical benefits from postoperative chemotherapy. Finally, we developed a machine learning model (iPROM) to predict Lu-NECs immune classification and improve risk stratification, which was validated across multiple independent cohorts. CONCLUSIONS: This study advances the understanding of the tumor immune microenvironment in Lu-NECs through multi-omics characterization and highlights potential personalized therapeutic vulnerabilities tailored to the specific immune landscapes of Lu-NECs.

Humans↗

PubMed2025

Interleukin-6 related signaling pathways as the intersection between chronic diseases and sepsis.

Sepsis is associated with immune dysregulated and organ dysfunction due to severe infection. Clinicians aim to restore organ function, rather than prevent diseases that are prone to sepsis, resulting in high mortality and a heavy public health burden. Some chronic diseases can induce sepsis through inflammation cascade reaction and Cytokine Storm (CS). Interleukin (IL)-6, the core of CS, and its related signaling pathways have been considered as contributors to sepsis. Therefore, it is important to study the relationship between IL-6 and its related pathways in sepsis-related chronic diseases. This review generalized the mechanism of sepsis-related chronic diseases via IL-6 related pathways with the purpose to take rational management for these diseases. IL-6 related signaling pathways were sought in Kyoto Encyclopedia of Genes and Genomes (KEGG), and retrieved protein-protein interaction in the Search for Interaction Genes tool (STRING). In PubMed and Google Scholar, the studies were searched out, which correlating to IL-6 related pathways and associating with the pathological process of sepsis. Focused on the interactions of sepsis and IL-6 related pathways, some chronic diseases have been studied for association with sepsis, containing insulin resistance, Alcoholic liver disease (ALD), Alzheimer disease (AD), and atherosclerosis. This article summarized the inflammatory mechanisms of IL-6 cross-talked with other mediators of some chronic diseases in vitro, animal models, and human experiments, leading to the activation of pathways and accelerating the progression of sepsis. The clinicians should be highlight to this kind of diseases and more clinical trials are needed to provide more reliable theoretical basis for health policy formulation.

Humans↗

PubMed2009

A myocardium tropic adeno-associated virus (AAV) evolved by DNA shuffling and in vivo selection.

To engineer gene vectors that target striated muscles after systemic delivery, we constructed a random library of adeno-associated virus (AAV) by shuffling the capsid genes of AAV serotypes 1 to 9, and screened for muscle-targeting capsids by direct in vivo panning after tail vein injection in mice. After 2 rounds of in vivo selection, a capsid gene named M41 was retrieved mainly based on its high frequency in the muscle and low frequency in the liver. Structural analyses revealed that the AAVM41 capsid is a recombinant of AAV1, 6, 7, and 8 with a mosaic capsid surface and a conserved capsid interior. AAVM41 was then subjected to a side-by-side comparison to AAV9, the most robust AAV for systemic heart and muscle gene delivery; to AAV6, a parental AAV with strong muscle tropism. After i.v. delivery of reporter genes, AAVM41 was found more efficient than AAV6 in the heart and muscle, and was similar to AAV9 in the heart but weaker in the muscle. In fact, the myocardium showed the highest gene expression among all tissues tested in mice and hamsters after systemic AAVM41 delivery. However, gene transfer in non-muscle tissues, mainly the liver, was dramatically reduced. AAVM41 was further tested in a genetic cardiomyopathy hamster model and achieved efficient long-term delta-sarcoglycan gene expression and rescue of cardiac functions. Thus, direct in vivo panning of capsid libraries is a simple tool for the de-targeting and retargeting of viral vector tissue tropisms facilitated by acquisition of desirable sequences and properties.

Animals↗