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Biology subjects

YANG, Z.

Publications and source records attributed to YANG, Z..

3 recordsLinked to original sources

Functional, Biotinylproteomic and Bioinformatic Analysis of Both Cytoskeletal and Plastoskeletal Proteins in Plant Mechanoresponse

To investigate the early signaling components of skeletal proteins in mediating Arabidopsis thigmomorphogenesis, both microscopic and proximity labeling (PL)-based quantitative biotinylproteomics were applied to investigate the subcellular location and putative interactors of a touch-responsive WPRa4 protein. These experiments have demonstrated that the cytoskeletal protein WPRa4 is localized nearby the plastid. Several cytosolic Plastid Movement-Impaired (PMI) proteins and a member of the plastidic translocon were identified as putative interactors of WPRa4, suggesting an integrated network of skeletal proteins linking the cytoskeleton with the plastid membrane. Further bioinformatic analysis of both Proximity Labeling- and XL-MS-based proteomic results suggested that Plastid Movement-Impaired 4 (PMI4) protein may serve as a candidate in mediating the plant touch response. The loss-of-function pmi4 mutant showed neither the touch-induced bolting delay nor the rosette size reduction upon repetitive touches, suggesting that pmi4 is a unique type of mutant of Arabidopsis thigmomorphogenesis. Moreover, the null mutant pmi4 displayed a severe defect in the touch-induced Ca2+ oscillation. Further transcriptomic analysis performed on both the wild-type Arabidopsis and pmi4 mutant indicated that the mutated pmi4 gene suppressed the expression of a number of touch rapidly induced transcripts and a JA-responsive gene, LOX2. These findings led us to propose a revised touch force-sensing theory, in which the interconnected cytosolic and plastidic skeletal proteins serve as the early mechano-sensing components mediating Arabidopsis thigmomorphogenesis and the retrograde calcium signaling in response to touch.

plant biology↗

Orchestrating the Acquisition of Oligodendrocyte Precursor Cell versus Olfactory Bulb Interneuron Fates through Olig1/2 during Mammalian Cortical Gliogenesis and Gliomagenesis

The hijacking of developmental gliogenesis programs is a hallmark of glioblastoma (GBM), in which glial precursor cells (GPCs) typically differentiate into both neurons and glial cells. In GBM, this process is disrupted, leading to the overproduction of proliferative glial-like cells. Our study demonstrates that the knockout of Olig1/2 in both normal development and gliomagenesis causes GPCs to shift from generating highly proliferative oligodendrocyte precursor cells to producing non-proliferative olfactory bulb interneurons. Mechanistically, Olig1/2 play dual roles by orchestrating distinct transcriptional programs in GPCs, particularly inhibiting the expression of Gsx2 through direct binding to its multiple enhancers. Additionally, we provide compelling evidence that human H3.3G34R/V-mutant tumors, a subtype of high-grade gliomas, originate from dorsal cortical-derived GPCs rather than from the previously assumed progenitors in the ventral basal ganglia. Collectively, our findings reveal a previously unrecognized role of Olig1/2 in both gliogenesis and gliomagenesis, offering deeper insights into the connections between normal neural development and tumorigenesis. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=159 HEIGHT=200 SRC="FIGDIR/small/623106v1_ufig1.gif" ALT="Figure 1"> View larger version (69K): org.highwire.dtl.DTLVardef@10ea118org.highwire.dtl.DTLVardef@1725006org.highwire.dtl.DTLVardef@1e3ce25org.highwire.dtl.DTLVardef@f300ee_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

AI becomes a masterbrain scientist

Recent rapid and unexpected advancements in Artificial Intelligence (AI) have dramatically shocked the world. Large language models, such as ChatGPT and GPT-4, have demonstrated remarkable potential in aggregating and organizing knowledge while providing insights and solutions to specific questions. In this study, we further explore the possibility of GPT-4 taking on a central role in a complete closed-loop biological research, functioning as a masterbrain scientist responsible for generating hypotheses, designing experiments, analyzing results, and drawing conclusions. Our findings suggest that AI has the potential to evolve into a genuine scientist, and could lead an unprecedented revolution in the area of science.

bioinformatics↗