Molecular Systems Biology最新文献

Oncogenic PIK3CA corrupts growth factor signaling specificity.

IF 8.5 1区生物学

Molecular Systems Biology Pub Date : 2024-12-20 DOI: 10.1038/s44320-024-00078-x

Ralitsa R Madsen, Alix Le Marois, Oliwia N Mruk, Margaritis Voliotis, Shaozhen Yin, Jahangir Sufi, Xiao Qin, Salome J Zhao, Julia Gorczynska, Daniele Morelli, Lindsay Davidson, Erik Sahai, Viktor I Korolchuk, Christopher J Tape, Bart Vanhaesebroeck

{"title":"Oncogenic PIK3CA corrupts growth factor signaling specificity.","authors":"Ralitsa R Madsen, Alix Le Marois, Oliwia N Mruk, Margaritis Voliotis, Shaozhen Yin, Jahangir Sufi, Xiao Qin, Salome J Zhao, Julia Gorczynska, Daniele Morelli, Lindsay Davidson, Erik Sahai, Viktor I Korolchuk, Christopher J Tape, Bart Vanhaesebroeck","doi":"10.1038/s44320-024-00078-x","DOIUrl":"https://doi.org/10.1038/s44320-024-00078-x","url":null,"abstract":"Technical limitations have prevented understanding of how growth factor signals are encoded in distinct activity patterns of the phosphoinositide 3-kinase (PI3K)/AKT pathway, and how this is altered by oncogenic pathway mutations. We introduce a kinetic, single-cell framework for precise calculations of PI3K-specific information transfer for different growth factors. This features live-cell imaging of PI3K/AKT activity reporters and multiplexed CyTOF measurements of PI3K/AKT and RAS/ERK signaling markers over time. Using this framework, we found that the PIK3CAH1047R oncogene was not a simple, constitutive activator of the pathway as often presented. Dose-dependent expression of PIK3CAH1047R in human cervical cancer and induced pluripotent stem cells corrupted the fidelity of growth factor-induced information transfer, with preferential amplification of epidermal growth factor receptor (EGFR) signaling responses compared to insulin-like growth factor 1 (IGF1) and insulin receptor signaling. PIK3CAH1047R did not only shift these responses to a higher mean but also enhanced signaling heterogeneity. We conclude that oncogenic PIK3CAH1047R corrupts information transfer in a growth factor-dependent manner and suggest new opportunities for tuning of receptor-specific PI3K pathway outputs for therapeutic benefit.","PeriodicalId":18906,"journal":{"name":"Molecular Systems Biology","volume":" ","pages":""},"PeriodicalIF":8.5,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142872589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A split intein and split luciferase-coupled system for detecting protein-protein interactions. 用于检测蛋白质-蛋白质相互作用的分裂内含素和分裂荧光素酶耦合系统。

IF 8.5 1区生物学

Molecular Systems Biology Pub Date : 2024-12-12 DOI: 10.1038/s44320-024-00081-2

Zhong Yao, Jiyoon Kim, Betty Geng, Jinkun Chen, Victoria Wong, Anna Lyakisheva, Jamie Snider, Marina Rudan Dimlić, Sanda Raić, Igor Stagljar

{"title":"A split intein and split luciferase-coupled system for detecting protein-protein interactions.","authors":"Zhong Yao, Jiyoon Kim, Betty Geng, Jinkun Chen, Victoria Wong, Anna Lyakisheva, Jamie Snider, Marina Rudan Dimlić, Sanda Raić, Igor Stagljar","doi":"10.1038/s44320-024-00081-2","DOIUrl":"https://doi.org/10.1038/s44320-024-00081-2","url":null,"abstract":"Elucidation of protein-protein interactions (PPIs) represents one of the most important methods in biomedical research. Recently, PPIs have started to be exploited for drug discovery purposes and have thus attracted much attention from both the academic and pharmaceutical sectors. We previously developed a sensitive method, Split Intein-Mediated Protein Ligation (SIMPL), for detecting binary PPIs via irreversible splicing of the interacting proteins being investigated. Here, we incorporated tripart nanoluciferase (tNLuc) into the system, providing a luminescence signal which, in conjunction with homogenous liquid phase operation, improves the quantifiability and operability of the assay. Using a reference PPI set, we demonstrated an improvement in both sensitivity and specificity over the original SIMPL assay. Moreover, we designed the new SIMPL-tNLuc ('SIMPL2') platform with an inherent modularity allowing for flexible measurement of molecular modulators of target PPIs, including inhibitors, molecular glues and PROTACs. Our results demonstrate that SIMPL2 is a sensitive, cost- and labor-effective tool suitable for high-throughput screening (HTS) in both PPI mapping and drug discovery applications.","PeriodicalId":18906,"journal":{"name":"Molecular Systems Biology","volume":" ","pages":""},"PeriodicalIF":8.5,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142818697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Redesigning error control in cross-linking mass spectrometry enables more robust and sensitive protein-protein interaction studies.

IF 8.5 1区生物学

Molecular Systems Biology Pub Date : 2024-12-09 DOI: 10.1038/s44320-024-00079-w

Boris Bogdanow, Max Ruwolt, Julia Ruta, Lars Mühlberg, Cong Wang, Wen-Feng Zeng, Arne Elofsson, Fan Liu

{"title":"Redesigning error control in cross-linking mass spectrometry enables more robust and sensitive protein-protein interaction studies.","authors":"Boris Bogdanow, Max Ruwolt, Julia Ruta, Lars Mühlberg, Cong Wang, Wen-Feng Zeng, Arne Elofsson, Fan Liu","doi":"10.1038/s44320-024-00079-w","DOIUrl":"https://doi.org/10.1038/s44320-024-00079-w","url":null,"abstract":"Cross-linking mass spectrometry (XL-MS) allows characterizing protein-protein interactions (PPIs) in native biological systems by capturing cross-links between different proteins (inter-links). However, inter-link identification remains challenging, requiring dedicated data filtering schemes and thorough error control. Here, we benchmark existing data filtering schemes combined with error rate estimation strategies utilizing concatenated target-decoy protein sequence databases. These workflows show shortcomings either in sensitivity (many false negatives) or specificity (many false positives). To ameliorate the limited sensitivity without compromising specificity, we develop an alternative target-decoy search strategy using fused target-decoy databases. Furthermore, we devise a different data filtering scheme that takes the inter-link context of the XL-MS dataset into account. Combining both approaches maintains low error rates and minimizes false negatives, as we show by mathematical simulations, analysis of experimental ground-truth data, and application to various biological datasets. In human cells, inter-link identifications increase by 75% and we confirm their structural accuracy through proteome-wide comparisons to AlphaFold2-derived models. Taken together, target-decoy fusion and context-sensitive data filtering deepen and fine-tune XL-MS-based interactomics.","PeriodicalId":18906,"journal":{"name":"Molecular Systems Biology","volume":" ","pages":""},"PeriodicalIF":8.5,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142801791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

State of the interactomes: an evaluation of molecular networks for generating biological insights.

IF 8.5 1区生物学

Molecular Systems Biology Pub Date : 2024-12-09 DOI: 10.1038/s44320-024-00077-y

Sarah N Wright, Scott Colton, Leah V Schaffer, Rudolf T Pillich, Christopher Churas, Dexter Pratt, Trey Ideker

引用次数: 0

Bacterial live therapeutics for human diseases. 治疗人类疾病的活细菌疗法。

IF 8.5 1区生物学

Molecular Systems Biology Pub Date : 2024-12-01 Epub Date: 2024-10-23 DOI: 10.1038/s44320-024-00067-0

Elisabet Frutos-Grilo, Yamile Ana, Javier Gonzalez-de Miguel, Marcel Cardona-I-Collado, Irene Rodriguez-Arce, Luis Serrano

引用次数: 0

Understanding the biological processes of kidney carcinogenesis: an integrative multi-omics approach. 了解肾癌发生的生物学过程：一种综合的多组学方法。

IF 8.5 1区生物学

Molecular Systems Biology Pub Date : 2024-12-01 Epub Date: 2024-11-26 DOI: 10.1038/s44320-024-00072-3

Ricardo Cortez Cardoso Penha, Alexandra Sexton Oates, Sergey Senkin, Hanla A Park, Joshua Atkins, Ivana Holcatova, Anna Hornakova, Slavisa Savic, Simona Ognjanovic, Beata Świątkowska, Jolanta Lissowska, David Zaridze, Anush Mukeria, Vladimir Janout, Amelie Chabrier, Vincent Cahais, Cyrille Cuenin, Ghislaine Scelo, Matthieu Foll, Zdenko Herceg, Paul Brennan, Karl Smith-Byrne, Nicolas Alcala, James D Mckay

{"title":"Understanding the biological processes of kidney carcinogenesis: an integrative multi-omics approach.","authors":"Ricardo Cortez Cardoso Penha, Alexandra Sexton Oates, Sergey Senkin, Hanla A Park, Joshua Atkins, Ivana Holcatova, Anna Hornakova, Slavisa Savic, Simona Ognjanovic, Beata Świątkowska, Jolanta Lissowska, David Zaridze, Anush Mukeria, Vladimir Janout, Amelie Chabrier, Vincent Cahais, Cyrille Cuenin, Ghislaine Scelo, Matthieu Foll, Zdenko Herceg, Paul Brennan, Karl Smith-Byrne, Nicolas Alcala, James D Mckay","doi":"10.1038/s44320-024-00072-3","DOIUrl":"10.1038/s44320-024-00072-3","url":null,"abstract":"Biological mechanisms related to cancer development can leave distinct molecular fingerprints in tumours. By leveraging multi-omics and epidemiological information, we can unveil relationships between carcinogenesis processes that would otherwise remain hidden. Our integrative analysis of DNA methylome, transcriptome, and somatic mutation profiles of kidney tumours linked ageing, epithelial-mesenchymal transition (EMT), and xenobiotic metabolism to kidney carcinogenesis. Ageing process was represented by associations with cellular mitotic clocks such as epiTOC2, SBS1, telomere length, and PBRM1 and SETD2 mutations, which ticked faster as tumours progressed. We identified a relationship between BAP1 driver mutations and the epigenetic upregulation of EMT genes (IL20RB and WT1), correlating with increased tumour immune infiltration, advanced stage, and poorer patient survival. We also observed an interaction between epigenetic silencing of the xenobiotic metabolism gene GSTP1 and tobacco use, suggesting a link to genotoxic effects and impaired xenobiotic metabolism. Our pan-cancer analysis showed these relationships in other tumour types. Our study enhances the understanding of kidney carcinogenesis and its relation to risk factors and progression, with implications for other tumour types.","PeriodicalId":18906,"journal":{"name":"Molecular Systems Biology","volume":" ","pages":"1282-1302"},"PeriodicalIF":8.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11612429/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142730720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Subcellular mRNA kinetic modeling reveals nuclear retention as rate-limiting. 细胞下 mRNA 动力学建模显示，核保留是限制速率的因素。

IF 8.5 1区生物学

Molecular Systems Biology Pub Date : 2024-12-01 Epub Date: 2024-11-15 DOI: 10.1038/s44320-024-00073-2

David Steinbrecht, Igor Minia, Miha Milek, Johannes Meisig, Nils Blüthgen, Markus Landthaler

{"title":"Subcellular mRNA kinetic modeling reveals nuclear retention as rate-limiting.","authors":"David Steinbrecht, Igor Minia, Miha Milek, Johannes Meisig, Nils Blüthgen, Markus Landthaler","doi":"10.1038/s44320-024-00073-2","DOIUrl":"10.1038/s44320-024-00073-2","url":null,"abstract":"Eukaryotic mRNAs are transcribed, processed, translated, and degraded in different subcellular compartments. Here, we measured mRNA flow rates between subcellular compartments in mouse embryonic stem cells. By combining metabolic RNA labeling, biochemical fractionation, mRNA sequencing, and mathematical modeling, we determined the half-lives of nuclear pre-, nuclear mature, cytosolic, and membrane-associated mRNAs from over 9000 genes. In addition, we estimated transcript elongation rates. Many matured mRNAs have long nuclear half-lives, indicating nuclear retention as the rate-limiting step in the flow of mRNAs. In contrast, mRNA transcripts coding for transcription factors show fast kinetic rates, and in particular short nuclear half-lives. Differentially localized mRNAs have distinct rate constant combinations, implying modular regulation. Membrane stability is high for membrane-localized mRNA and cytosolic stability is high for cytosol-localized mRNA. mRNAs encoding target signals for membranes have low cytosolic and high membrane half-lives with minor differences between signals. Transcripts of nuclear-encoded mitochondrial proteins have long nuclear retention and cytoplasmic kinetics that do not reflect co-translational targeting. Our data and analyses provide a useful resource to study spatiotemporal gene expression regulation.","PeriodicalId":18906,"journal":{"name":"Molecular Systems Biology","volume":" ","pages":"1346-1371"},"PeriodicalIF":8.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11611909/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142639366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep quantification of substrate turnover defines protease subsite cooperativity. 底物周转的深度定量确定了蛋白酶亚位点的合作性。

IF 8.5 1区生物学

Molecular Systems Biology Pub Date : 2024-12-01 Epub Date: 2024-10-28 DOI: 10.1038/s44320-024-00071-4

Rajani Kanth Gudipati, Dimos Gaidatzis, Jan Seebacher, Sandra Muehlhaeusser, Georg Kempf, Simone Cavadini, Daniel Hess, Charlotte Soneson, Helge Großhans

{"title":"Deep quantification of substrate turnover defines protease subsite cooperativity.","authors":"Rajani Kanth Gudipati, Dimos Gaidatzis, Jan Seebacher, Sandra Muehlhaeusser, Georg Kempf, Simone Cavadini, Daniel Hess, Charlotte Soneson, Helge Großhans","doi":"10.1038/s44320-024-00071-4","DOIUrl":"10.1038/s44320-024-00071-4","url":null,"abstract":"Substrate specificity determines protease functions in physiology and in clinical and biotechnological applications, yet quantitative cleavage information is often unavailable, biased, or limited to a small number of events. Here, we develop qPISA (quantitative Protease specificity Inference from Substrate Analysis) to study Dipeptidyl Peptidase Four (DPP4), a key regulator of blood glucose levels. We use mass spectrometry to quantify >40,000 peptides from a complex, commercially available peptide mixture. By analyzing changes in substrate levels quantitatively instead of focusing on qualitative product identification through a binary classifier, we can reveal cooperative interactions within DPP4's active pocket and derive a sequence motif that predicts activity quantitatively. qPISA distinguishes DPP4 from the related C. elegans DPF-3 (a DPP8/9-orthologue), and we relate the differences to the structural features of the two enzymes. We demonstrate that qPISA can direct protein engineering efforts like the stabilization of GLP-1, a key DPP4 substrate used in the treatment of diabetes and obesity. Thus, qPISA offers a versatile approach for profiling protease and especially exopeptidase specificity, facilitating insight into enzyme mechanisms and biotechnological and clinical applications.","PeriodicalId":18906,"journal":{"name":"Molecular Systems Biology","volume":" ","pages":"1303-1328"},"PeriodicalIF":8.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11612144/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142522489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identifying T-cell clubs by embracing the local harmony between TCR and gene expressions. 通过 TCR 与基因表达之间的局部和谐来识别 T 细胞俱乐部。

IF 8.5 1区生物学

Molecular Systems Biology Pub Date : 2024-12-01 Epub Date: 2024-11-04 DOI: 10.1038/s44320-024-00070-5

Yiping Zou, Jiaqi Luo, Lingxi Chen, Xueying Wang, Wei Liu, Ruo Han Wang, Shuai Cheng Li

{"title":"Identifying T-cell clubs by embracing the local harmony between TCR and gene expressions.","authors":"Yiping Zou, Jiaqi Luo, Lingxi Chen, Xueying Wang, Wei Liu, Ruo Han Wang, Shuai Cheng Li","doi":"10.1038/s44320-024-00070-5","DOIUrl":"10.1038/s44320-024-00070-5","url":null,"abstract":"T cell receptors (TCR) and gene expression provide two complementary and essential aspects in T cell understanding, yet their diversity presents challenges in integrative analysis. We introduce TCRclub, a novel method integrating single-cell RNA sequencing data and single-cell TCR sequencing data using local harmony to identify functionally similar T cell groups, termed 'clubs'. We applied TCRclub to 298,106 T cells across seven datasets encompassing various diseases. First, TCRclub outperforms the state-of-the-art methods in clustering T cells on a dataset with over 400 verified peptide-major histocompatibility complex categories. Second, TCRclub reveals a transition from activated to exhausted T cells in cholangiocarcinoma patients. Third, TCRclub discovered the pathways that could intervene in response to anti-PD-1 therapy for patients with basal cell carcinoma by analyzing the pre-treatment and post-treatment samples. Furthermore, TCRclub unveiled different T-cell responses and gene patterns at different severity levels in patients with COVID-19. Hence, TCRclub aids in developing more effective immunotherapeutic strategies for cancer and infectious diseases.","PeriodicalId":18906,"journal":{"name":"Molecular Systems Biology","volume":" ","pages":"1329-1345"},"PeriodicalIF":8.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11612385/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142576294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Global atlas of predicted functional domains in Legionella pneumophila Dot/Icm translocated effectors. 嗜肺军团菌 Dot/Icm 易位效应因子中预测功能域的全球图谱。

IF 8.5 1区生物学

Molecular Systems Biology Pub Date : 2024-11-19 DOI: 10.1038/s44320-024-00076-z

Deepak T Patel, Peter J Stogios, Lukasz Jaroszewski, Malene L Urbanus, Mayya Sedova, Cameron Semper, Cathy Le, Abraham Takkouche, Keita Ichii, Julie Innabi, Dhruvin H Patel, Alexander W Ensminger, Adam Godzik, Alexei Savchenko

{"title":"Global atlas of predicted functional domains in Legionella pneumophila Dot/Icm translocated effectors.","authors":"Deepak T Patel, Peter J Stogios, Lukasz Jaroszewski, Malene L Urbanus, Mayya Sedova, Cameron Semper, Cathy Le, Abraham Takkouche, Keita Ichii, Julie Innabi, Dhruvin H Patel, Alexander W Ensminger, Adam Godzik, Alexei Savchenko","doi":"10.1038/s44320-024-00076-z","DOIUrl":"https://doi.org/10.1038/s44320-024-00076-z","url":null,"abstract":"Legionella pneumophila utilizes the Dot/Icm type IVB secretion system to deliver hundreds of effector proteins inside eukaryotic cells to ensure intracellular replication. Our understanding of the molecular functions of the largest pathogenic arsenal known to the bacterial world remains incomplete. By leveraging advancements in 3D protein structure prediction, we provide a comprehensive structural analysis of 368 L. pneumophila effectors, representing a global atlas of predicted functional domains summarized in a database ( https://pathogens3d.org/legionella-pneumophila ). Our analysis identified 157 types of diverse functional domains in 287 effectors, including 159 effectors with no prior functional annotations. Furthermore, we identified 35 cryptic domains in 30 effector models that have no similarity with experimentally structurally characterized proteins, thus, hinting at novel functionalities. Using this analysis, we demonstrate the activity of thirteen functional domains, including three cryptic domains, predicted in L. pneumophila effectors to cause growth defects in the Saccharomyces cerevisiae model system. This illustrates an emerging strategy of exploring synergies between predictions and targeted experimental approaches in elucidating novel effector activities involved in infection.","PeriodicalId":18906,"journal":{"name":"Molecular Systems Biology","volume":" ","pages":""},"PeriodicalIF":8.5,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142676352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0