Nature MethodsPub Date : 2024-10-22DOI: 10.1038/s41592-024-02481-6
Philipp T. Kaulich, Kyowon Jeong, Oliver Kohlbacher, Andreas Tholey
{"title":"Influence of different sample preparation approaches on proteoform identification by top-down proteomics","authors":"Philipp T. Kaulich, Kyowon Jeong, Oliver Kohlbacher, Andreas Tholey","doi":"10.1038/s41592-024-02481-6","DOIUrl":"10.1038/s41592-024-02481-6","url":null,"abstract":"Top-down proteomics using mass spectrometry facilitates the identification of intact proteoforms, that is, all molecular forms of proteins. Multiple past advances have lead to the development of numerous sample preparation workflows. Here we systematically investigated the influence of different sample preparation steps on proteoform and protein identifications, including cell lysis, reduction and alkylation, proteoform enrichment, purification and fractionation. We found that all steps in sample preparation influence the subset of proteoforms identified (for example, their number, confidence, physicochemical properties and artificially generated modifications). The various sample preparation strategies resulted in complementary identifications, substantially increasing the proteome coverage. Overall, we identified 13,975 proteoforms from 2,720 proteins of human Caco-2 cells. The results presented can serve as suggestions for designing and adapting top-down proteomics sample preparation strategies to particular research questions. Moreover, we expect that the sampling bias and modifications identified at the intact protein level will also be useful in improving bottom-up proteomics approaches. A systematic analysis of the influence of different sample preparation steps on proteoform identification by top-down proteomics serves as a useful reference for designing appropriate workflows for specific research questions.","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":"21 12","pages":"2397-2407"},"PeriodicalIF":36.1,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41592-024-02481-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142504535","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}
Nature MethodsPub Date : 2024-10-22DOI: 10.1038/s41592-024-02455-8
Kyusik Ahn, Hwee-Seon Park, Sieun Choi, Hojeong Lee, Hyunjung Choi, Seok Beom Hong, Jihui Han, Jong Won Han, Jinchul Ahn, Jaehoon Song, Kyunghyuk Park, Bukyung Cha, Minseop Kim, Hui-Wen Liu, Hyeonggyu Song, Sang Jeong Kim, Seok Chung, Jong-Il Kim, Inhee Mook-Jung
{"title":"Differentiating visceral sensory ganglion organoids from induced pluripotent stem cells","authors":"Kyusik Ahn, Hwee-Seon Park, Sieun Choi, Hojeong Lee, Hyunjung Choi, Seok Beom Hong, Jihui Han, Jong Won Han, Jinchul Ahn, Jaehoon Song, Kyunghyuk Park, Bukyung Cha, Minseop Kim, Hui-Wen Liu, Hyeonggyu Song, Sang Jeong Kim, Seok Chung, Jong-Il Kim, Inhee Mook-Jung","doi":"10.1038/s41592-024-02455-8","DOIUrl":"10.1038/s41592-024-02455-8","url":null,"abstract":"The ability to generate visceral sensory neurons (VSN) from induced pluripotent stem (iPS) cells may help to gain insights into how the gut–nerve–brain axis is involved in neurological disorders. We established a protocol to differentiate human iPS-cell-derived visceral sensory ganglion organoids (VSGOs). VSGOs exhibit canonical VSN markers, and single-cell RNA sequencing revealed heterogenous molecular signatures and developmental trajectories of VSGOs aligned with native VSN. We integrated VSGOs with human colon organoids on a microfluidic device and applied this axis-on-a-chip model to Alzheimer’s disease. Our results suggest that VSN could be a potential mediator for propagating gut-derived amyloid and tau to the brain in an APOE4- and LRP1-dependent manner. Furthermore, our approach was extended to include patient-derived iPS cells, which demonstrated a strong correlation with clinical data. A protocol for differentiating visceral sensory ganglion organoids from induced pluripotent stem cells allows the establishment of an in vitro model for the gut–visceral nerve–brain axis and study of the propagation of pathogenic proteins involved in Alzheimer’s disease along the vagus nerve.","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":"21 11","pages":"2135-2146"},"PeriodicalIF":36.1,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142504533","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}
Nature MethodsPub Date : 2024-10-21DOI: 10.1038/s41592-024-02477-2
Utz Ermel, Anchi Cheng, Jun Xi Ni, Jessica Gadling, Manasa Venkatakrishnan, Kira Evans, Jeremy Asuncion, Andrew Sweet, Janeece Pourroy, Zun Shi Wang, Kandarp Khandwala, Benjamin Nelson, Dannielle McCarthy, Eric M. Wang, Richa Agarwal, Bridget Carragher
{"title":"A data portal for providing standardized annotations for cryo-electron tomography","authors":"Utz Ermel, Anchi Cheng, Jun Xi Ni, Jessica Gadling, Manasa Venkatakrishnan, Kira Evans, Jeremy Asuncion, Andrew Sweet, Janeece Pourroy, Zun Shi Wang, Kandarp Khandwala, Benjamin Nelson, Dannielle McCarthy, Eric M. Wang, Richa Agarwal, Bridget Carragher","doi":"10.1038/s41592-024-02477-2","DOIUrl":"10.1038/s41592-024-02477-2","url":null,"abstract":"","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":"21 12","pages":"2200-2202"},"PeriodicalIF":36.1,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142470435","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}
Nature MethodsPub Date : 2024-10-21DOI: 10.1038/s41592-024-02461-w
{"title":"Measuring multiple intracellular biochemical properties of proteins with next-generation sequencing","authors":"","doi":"10.1038/s41592-024-02461-w","DOIUrl":"10.1038/s41592-024-02461-w","url":null,"abstract":"We developed LABEL-seq, a platform that enables measurement of protein properties and functions at scale by leveraging the intracellular self-assembly of an RNA-binding domain (RBD) and protein-encoding RNA barcode. Enrichment of RBD–protein fusions, followed by high-throughput sequencing of the co-enriched barcodes, enables the profiling of protein abundance, activity, interactions and druggability at scale.","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":"21 11","pages":"1988-1989"},"PeriodicalIF":36.1,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142470443","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}
Nature MethodsPub Date : 2024-10-21DOI: 10.1038/s41592-024-02479-0
Xiao Wang, Han Zhu, Genki Terashi, Manav Taluja, Daisuke Kihara
{"title":"DiffModeler: large macromolecular structure modeling for cryo-EM maps using a diffusion model","authors":"Xiao Wang, Han Zhu, Genki Terashi, Manav Taluja, Daisuke Kihara","doi":"10.1038/s41592-024-02479-0","DOIUrl":"10.1038/s41592-024-02479-0","url":null,"abstract":"Cryogenic electron microscopy (cryo-EM) has now been widely used for determining multichain protein complexes. However, modeling a large complex structure, such as those with more than ten chains, is challenging, particularly when the map resolution decreases. Here we present DiffModeler, a fully automated method for modeling large protein complex structures. DiffModeler employs a diffusion model for backbone tracing and integrates AlphaFold2-predicted single-chain structures for structure fitting. DiffModeler showed an average template modeling score of 0.88 and 0.91 for two datasets of cryo-EM maps of 0–5 Å resolution and 0.92 for intermediate resolution maps (5–10 Å), substantially outperforming existing methodologies. Further benchmarking at low resolutions (10–20 Å) confirms its versatility, demonstrating plausible performance. DiffModeler is a fully automated structure fitting method for modeling large protein complex structures in cryo-EM maps with resolutions up to 15 Å.","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":"21 12","pages":"2307-2317"},"PeriodicalIF":36.1,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142470439","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}
Nature MethodsPub Date : 2024-10-21DOI: 10.1038/s41592-024-02402-7
Rayan Chikhi, Yoann Dufresne, Paul Medvedev
{"title":"Constructing and personalizing population pangenome graphs","authors":"Rayan Chikhi, Yoann Dufresne, Paul Medvedev","doi":"10.1038/s41592-024-02402-7","DOIUrl":"10.1038/s41592-024-02402-7","url":null,"abstract":"Pangenome graphs signify a new frontier in genome representation. Recent advances in constructing and personalizing them mark progress in this area.","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":"21 11","pages":"1980-1981"},"PeriodicalIF":36.1,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142470438","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}
Nature MethodsPub Date : 2024-10-21DOI: 10.1038/s41592-024-02456-7
Jessica J. Simon, Douglas M. Fowler, Dustin J. Maly
{"title":"Multiplexed profiling of intracellular protein abundance, activity, interactions and druggability with LABEL-seq","authors":"Jessica J. Simon, Douglas M. Fowler, Dustin J. Maly","doi":"10.1038/s41592-024-02456-7","DOIUrl":"10.1038/s41592-024-02456-7","url":null,"abstract":"Here we describe labeling with barcodes and enrichment for biochemical analysis by sequencing (LABEL-seq), an assay for massively parallel profiling of pooled protein variants in human cells. By leveraging the intracellular self-assembly of an RNA-binding domain (RBD) with a stable, variant-encoding RNA barcode, LABEL-seq facilitates the direct measurement of protein properties and functions using simple affinity enrichments of RBD protein fusions, followed by high-throughput sequencing of co-enriched barcodes. Measurement of ~20,000 variant effects for ~1,600 BRaf variants revealed that variation at positions frequently mutated in cancer minimally impacted intracellular abundance but could dramatically alter activity, protein–protein interactions and druggability. Integrative analysis identified networks of positions with similar biochemical roles and enabled modeling of variant effects on cell proliferation and small molecule-promoted degradation. Thus, LABEL-seq enables direct measurement of multiple biochemical properties in a native cellular context, providing insights into protein function, disease mechanisms and druggability. Labeling with barcodes and enrichment for biochemical analysis by sequencing (LABEL-seq) enables massively parallel profiling of thousands of pooled protein variants in cells, yielding insight into protein function, interactions and druggability.","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":"21 11","pages":"2094-2106"},"PeriodicalIF":36.1,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142470444","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}
Nature MethodsPub Date : 2024-10-21DOI: 10.1038/s41592-024-02430-3
Erik Garrison, Andrea Guarracino, Simon Heumos, Flavia Villani, Zhigui Bao, Lorenzo Tattini, Jörg Hagmann, Sebastian Vorbrugg, Santiago Marco-Sola, Christian Kubica, David G. Ashbrook, Kaisa Thorell, Rachel L. Rusholme-Pilcher, Gianni Liti, Emilio Rudbeck, Agnieszka A. Golicz, Sven Nahnsen, Zuyu Yang, Moses Njagi Mwaniki, Franklin L. Nobrega, Yi Wu, Hao Chen, Joep de Ligt, Peter H. Sudmant, Sanwen Huang, Detlef Weigel, Nicole Soranzo, Vincenza Colonna, Robert W. Williams, Pjotr Prins
{"title":"Building pangenome graphs","authors":"Erik Garrison, Andrea Guarracino, Simon Heumos, Flavia Villani, Zhigui Bao, Lorenzo Tattini, Jörg Hagmann, Sebastian Vorbrugg, Santiago Marco-Sola, Christian Kubica, David G. Ashbrook, Kaisa Thorell, Rachel L. Rusholme-Pilcher, Gianni Liti, Emilio Rudbeck, Agnieszka A. Golicz, Sven Nahnsen, Zuyu Yang, Moses Njagi Mwaniki, Franklin L. Nobrega, Yi Wu, Hao Chen, Joep de Ligt, Peter H. Sudmant, Sanwen Huang, Detlef Weigel, Nicole Soranzo, Vincenza Colonna, Robert W. Williams, Pjotr Prins","doi":"10.1038/s41592-024-02430-3","DOIUrl":"10.1038/s41592-024-02430-3","url":null,"abstract":"Pangenome graphs can represent all variation between multiple reference genomes, but current approaches to build them exclude complex sequences or are based upon a single reference. In response, we developed the PanGenome Graph Builder, a pipeline for constructing pangenome graphs without bias or exclusion. The PanGenome Graph Builder uses all-to-all alignments to build a variation graph in which we can identify variation, measure conservation, detect recombination events and infer phylogenetic relationships. PGGB is a modular framework for efficiently building unbiased pangenome graphs, supporting diverse downstream analyses.","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":"21 11","pages":"2008-2012"},"PeriodicalIF":36.1,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142470437","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}
Nature MethodsPub Date : 2024-10-17DOI: 10.1038/s41592-024-02473-6
{"title":"Ultra-high-field MRI for fast imaging of the human brain at mesoscale resolution","authors":"","doi":"10.1038/s41592-024-02473-6","DOIUrl":"10.1038/s41592-024-02473-6","url":null,"abstract":"Very high-resolution images of the human brain obtained in vivo in a few minutes with MRI at an ultra-high magnetic field of 11.7 T reveal exquisite details. Biological and behavioral tests confirm the safety of the method, opening the door for human brain exploration at mesoscale resolution.","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":"21 11","pages":"1982-1983"},"PeriodicalIF":36.1,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142470447","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}
Nature MethodsPub Date : 2024-10-17DOI: 10.1038/s41592-024-02472-7
Nicolas Boulant, Franck Mauconduit, Vincent Gras, Alexis Amadon, Caroline Le Ster, Michel Luong, Aurélien Massire, Christophe Pallier, Laure Sabatier, Michel Bottlaender, Alexandre Vignaud, Denis Le Bihan
{"title":"In vivo imaging of the human brain with the Iseult 11.7-T MRI scanner","authors":"Nicolas Boulant, Franck Mauconduit, Vincent Gras, Alexis Amadon, Caroline Le Ster, Michel Luong, Aurélien Massire, Christophe Pallier, Laure Sabatier, Michel Bottlaender, Alexandre Vignaud, Denis Le Bihan","doi":"10.1038/s41592-024-02472-7","DOIUrl":"10.1038/s41592-024-02472-7","url":null,"abstract":"The understanding of the human brain is one of the main scientific challenges of the twenty-first century. In the early 2000s, the French Atomic Energy Commission launched a program to conceive and build a human magnetic resonance imaging scanner operating at 11.7 T. We have now acquired human brain images in vivo at such a magnetic field. We deployed parallel transmission tools to mitigate the radiofrequency field inhomogeneity problem and tame the specific absorption rate. The safety of human imaging at such high field strength was demonstrated using physiological, vestibular, behavioral and genotoxicity measurements on the imaged volunteers. Our technology yields T2 and T2*-weighted images reaching mesoscale resolutions within short acquisition times and with a high signal and contrast-to-noise ratio. In a technological tour de force, a whole-body 11.7-T MRI scanner has been developed. Here images of the human brain are presented while safety for the imaged human volunteers has been ascertained.","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":"21 11","pages":"2013-2016"},"PeriodicalIF":36.1,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41592-024-02472-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142470441","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}