Journal of Molecular Biology最新文献

The R2TP chaperone is composed of the RUVBL1/RUVBL2 AAA+ ATPases and two adapter proteins, RPAP3 and PIH1D1. Together with HSP90, it functions in the assembly of macromolecular complexes that are often involved in cell proliferation. Here, proteomic experiments using the isolated PIH domain reveals additional R2TP partners, including the Tuberous Sclerosis Complex (TSC) and many transcriptional complexes. The TSC is a key regulator of mTORC1 and is composed of TSC1, TSC2 and TBC1D7. We show a direct interaction of TSC1 with the PIH phospho-binding domain of PIH1D1, which is, surprisingly, phosphorylation independent. Via the use of mutants and KO cell lines, we observe that TSC2 makes independent interactions with HSP90 and the TPR domains of RPAP3. Moreover, inactivation of PIH1D1 or the RUVBL1/2 ATPase activity inhibits the association of TSC1 with TSC2. Taken together, these data suggest a model in which the R2TP recruits TSC1 via PIH1D1 and TSC2 via RPAP3 and HSP90, and use the chaperone-like activities of RUVBL1/2 to stimulate their assembly.

The apicoplast DNA polymerase (apPol) from Plasmodium falciparum is essential for the parasite's survival, making it a prime target for antimalarial therapies. Here, we present cryo-electron microscopy structures of the apPol in complex with DNA and incoming nucleotide, offering insights into its molecular mechanisms. Our structural analysis reveals that apPol contains critical residues for high-fidelity DNA synthesis, but lacks certain structural elements to confer processive DNA synthesis during replication, suggesting the presence of additional accessory factors. The enzyme exhibits large-scale conformational changes upon DNA and nucleotide binding, particularly within the fingers and thumb subdomains. These movements reveal potential allosteric sites that could serve as targets for drug design. Our findings provide a foundation for advancing the understanding of apPol's unique functional mechanisms and potentially offering new avenues for the development of novel inhibitors and therapeutic interventions against malaria.

Microbiome research has increasingly underscored the profound link between microbial compositions and human health, with numerous studies establishing a strong correlation between microbiome characteristics and various diseases. However, the analysis of microbiome data is frequently compromised by inherent sparsity issues, characterized by a substantial presence of observed zeros. These zeros not only skew the abundance distribution of microbial species but also undermine the reliability of scientific conclusions drawn from such data. Addressing this challenge, we introduce GEMimp, an innovative imputation method designed to infuse robustness into microbiome data analysis. GEMimp leverages the node2vec algorithm, which incorporates both Breadth-First Search (BFS) and Depth-First Search (DFS) strategies in its random walks sampling process. This approach enables GEMimp to learn nuanced, low-dimensional representations of each taxonomic unit, facilitating the reconstruction of their similarity networks with unprecedented accuracy. Our comparative analysis pits GEMimp against state-of-the-art imputation methods including SAVER, MAGIC and mbImpute. The results unequivocally demonstrate that GEMimp outperforms its counterparts by achieving the highest Pearson correlation coefficient when compared to the original raw dataset. Furthermore, GEMimp shows notable proficiency in identifying significant taxa, enhancing the detection of disease-related taxa and effectively mitigating the impact of sparsity on both simulated and real-world datasets, such as those pertaining to Type 2 Diabetes (T2D) and Colorectal Cancer (CRC). These findings collectively highlight the strong effectiveness of GEMimp, allowing for better analysis on microbial data. With alleviation of sparsity issues, it could be greatly facilitated in downstream analyses and even in the field of microbiology.

The prefoldin complex is a heterohexameric, evolutionarily conserved co-chaperone that assists in folding of polypeptides downstream of the protein translation machinery. Loss of prefoldin function leads to impaired solubility of cellular proteins. The degradation of proteins by the proteasome is an integral part of protein homeostasis. Failure of regulated protein degradation can lead to the accumulation of misfolded and defective proteins. We show that prefoldin subunit 5 is required for proteasome activity by contributing to the assembly of the 26S proteasome. In particular, we found that absence of the prefoldin subunit 5 impairs formation of the Rpt ring subcomplex of the proteasome. Concomitant deletion of PFD5 and HSM3, a chaperone for assembly of the ATPase subunits comprising the Rpt ring, exacerbates this effect, suggesting a synergistic relationship between the two factors in proteasome assembly. Thus, our findings reveal a regulatory mechanism wherein prefoldin subunit 5 plays a crucial role in maintaining proteasome integrity, thereby influencing the degradation of proteins.

Biomolecular condensates appear throughout cell physiology and pathology, but the specific role of condensation or its dynamics is often difficult to determine. Optogenetics offers an expanding toolset to address these challenges, providing tools to directly control condensation of arbitrary proteins with precision over their formation, dissolution, and patterning in space and time. In this review, we describe the current state of the field for optogenetic control of condensation. We survey the proteins and their derivatives that form the foundation of this toolset, and we discuss the factors that distinguish them to enable appropriate selection for a given application. We also describe recent examples of the ways in which optogenetic condensation has been used in both basic and applied studies. Finally, we discuss important design considerations when engineering new proteins for optogenetic condensation, and we preview future innovations that will further empower this toolset in the coming years.