Max Planck Institute of Biochemistry

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Max Planck Institute of Biochemistry
Short name
MPIB
Country, city
Germany, Martinsried
Publications
9 421
Citations
721 758
h-index
328
Top-3 organizations
Technical University of Munich
Technical University of Munich (456 publications)
University of Copenhagen
University of Copenhagen (230 publications)
Top-3 foreign organizations
University of Copenhagen
University of Copenhagen (230 publications)
Harvard University
Harvard University (176 publications)
ETH Zurich
ETH Zurich (138 publications)

Most cited in 5 years

Meng B., Abdullahi A., Ferreira I.A., Goonawardane N., Saito A., Kimura I., Yamasoba D., Gerber P.P., Fatihi S., Rathore S., Zepeda S.K., Papa G., Kemp S.A., Ikeda T., Toyoda M., et. al.
Nature scimago Q1 wos Q1
2022-02-01 citations by CoLab: 882 Abstract  
The SARS-CoV-2 Omicron BA.1 variant emerged in 20211 and has multiple mutations in its spike protein2. Here we show that the spike protein of Omicron has a higher affinity for ACE2 compared with Delta, and a marked change in its antigenicity increases Omicron’s evasion of therapeutic monoclonal and vaccine-elicited polyclonal neutralizing antibodies after two doses. mRNA vaccination as a third vaccine dose rescues and broadens neutralization. Importantly, the antiviral drugs remdesivir and molnupiravir retain efficacy against Omicron BA.1. Replication was similar for Omicron and Delta virus isolates in human nasal epithelial cultures. However, in lung cells and gut cells, Omicron demonstrated lower replication. Omicron spike protein was less efficiently cleaved compared with Delta. The differences in replication were mapped to the entry efficiency of the virus on the basis of spike-pseudotyped virus assays. The defect in entry of Omicron pseudotyped virus to specific cell types effectively correlated with higher cellular RNA expression of TMPRSS2, and deletion of TMPRSS2 affected Delta entry to a greater extent than Omicron. Furthermore, drug inhibitors targeting specific entry pathways3 demonstrated that the Omicron spike inefficiently uses the cellular protease TMPRSS2, which promotes cell entry through plasma membrane fusion, with greater dependency on cell entry through the endocytic pathway. Consistent with suboptimal S1/S2 cleavage and inability to use TMPRSS2, syncytium formation by the Omicron spike was substantially impaired compared with the Delta spike. The less efficient spike cleavage of Omicron at S1/S2 is associated with a shift in cellular tropism away from TMPRSS2-expressing cells, with implications for altered pathogenesis. The spike protein of the Omicron variant of SARS-CoV-2 has a higher affinity for ACE2 than Delta, and a marked change in its antigenicity increases Omicron’s evasion of therapeutic and vaccine-elicited neutralizing antibodies.
Shin D., Mukherjee R., Grewe D., Bojkova D., Baek K., Bhattacharya A., Schulz L., Widera M., Mehdipour A.R., Tascher G., Geurink P.P., Wilhelm A., van der Heden van Noort G.J., Ovaa H., Müller S., et. al.
Nature scimago Q1 wos Q1
2020-07-29 citations by CoLab: 882 Abstract  
The papain-like protease PLpro is an essential coronavirus enzyme that is required for processing viral polyproteins to generate a functional replicase complex and enable viral spread1,2. PLpro is also implicated in cleaving proteinaceous post-translational modifications on host proteins as an evasion mechanism against host antiviral immune responses3–5. Here we perform biochemical, structural and functional characterization of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) PLpro (SCoV2-PLpro) and outline differences with SARS-CoV PLpro (SCoV-PLpro) in regulation of host interferon and NF-κB pathways. SCoV2-PLpro and SCoV-PLpro share 83% sequence identity but exhibit different host substrate preferences; SCoV2-PLpro preferentially cleaves the ubiquitin-like interferon-stimulated gene 15 protein (ISG15), whereas SCoV-PLpro predominantly targets ubiquitin chains. The crystal structure of SCoV2-PLpro in complex with ISG15 reveals distinctive interactions with the amino-terminal ubiquitin-like domain of ISG15, highlighting the high affinity and specificity of these interactions. Furthermore, upon infection, SCoV2-PLpro contributes to the cleavage of ISG15 from interferon responsive factor 3 (IRF3) and attenuates type I interferon responses. Notably, inhibition of SCoV2-PLpro with GRL-0617 impairs the virus-induced cytopathogenic effect, maintains the antiviral interferon pathway and reduces viral replication in infected cells. These results highlight a potential dual therapeutic strategy in which targeting of SCoV2-PLpro can suppress SARS-CoV-2 infection and promote antiviral immunity. Biochemical, structural and functional studies on the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) papain-like protease PLpro reveal that it regulates host antiviral responses by preferentially cleaving the ubiquitin-like interferon-stimulated gene 15 protein (ISG15) and identify this protease as a potential therapeutic target for coronavirus disease 2019 (COVID-19).
Pfister D., Núñez N.G., Pinyol R., Govaere O., Pinter M., Szydlowska M., Gupta R., Qiu M., Deczkowska A., Weiner A., Müller F., Sinha A., Friebel E., Engleitner T., Lenggenhager D., et. al.
Nature scimago Q1 wos Q1
2021-03-24 citations by CoLab: 836 Abstract  
Hepatocellular carcinoma (HCC) can have viral or non-viral causes1–5. Non-alcoholic steatohepatitis (NASH) is an important driver of HCC. Immunotherapy has been approved for treating HCC, but biomarker-based stratification of patients for optimal response to therapy is an unmet need6,7. Here we report the progressive accumulation of exhausted, unconventionally activated CD8+PD1+ T cells in NASH-affected livers. In preclinical models of NASH-induced HCC, therapeutic immunotherapy targeted at programmed death-1 (PD1) expanded activated CD8+PD1+ T cells within tumours but did not lead to tumour regression, which indicates that tumour immune surveillance was impaired. When given prophylactically, anti-PD1 treatment led to an increase in the incidence of NASH–HCC and in the number and size of tumour nodules, which correlated with increased hepatic CD8+PD1+CXCR6+, TOX+, and TNF+ T cells. The increase in HCC triggered by anti-PD1 treatment was prevented by depletion of CD8+ T cells or TNF neutralization, suggesting that CD8+ T cells help to induce NASH–HCC, rather than invigorating or executing immune surveillance. We found similar phenotypic and functional profiles in hepatic CD8+PD1+ T cells from humans with NAFLD or NASH. A meta-analysis of three randomized phase III clinical trials that tested inhibitors of PDL1 (programmed death-ligand 1) or PD1 in more than 1,600 patients with advanced HCC revealed that immune therapy did not improve survival in patients with non-viral HCC. In two additional cohorts, patients with NASH-driven HCC who received anti-PD1 or anti-PDL1 treatment showed reduced overall survival compared to patients with other aetiologies. Collectively, these data show that non-viral HCC, and particularly NASH–HCC, might be less responsive to immunotherapy, probably owing to NASH-related aberrant T cell activation causing tissue damage that leads to impaired immune surveillance. Our data provide a rationale for stratification of patients with HCC according to underlying aetiology in studies of immunotherapy as a primary or adjuvant treatment. In hepatocellular carcinoma driven by non-alcoholic steatohepatitis, aberrant T cell activation and impaired immune surveillance seem to make hepatocellular carcinoma less responsive to anti-PD1 or anti-PDL1 immunotherapy.
Lelek M., Gyparaki M.T., Beliu G., Schueder F., Griffié J., Manley S., Jungmann R., Sauer M., Lakadamyali M., Zimmer C.
Nature Reviews Methods Primers scimago Q1 wos Q1
2021-06-03 citations by CoLab: 638 Abstract  
Single-molecule localization microscopy (SMLM) describes a family of powerful imaging techniques that dramatically improve spatial resolution over standard, diffraction-limited microscopy techniques and can image biological structures at the molecular scale. In SMLM, individual fluorescent molecules are computationally localized from diffraction-limited image sequences and the localizations are used to generate a super-resolution image or a time course of super-resolution images, or to define molecular trajectories. In this Primer, we introduce the basic principles of SMLM techniques before describing the main experimental considerations when performing SMLM, including fluorescent labelling, sample preparation, hardware requirements and image acquisition in fixed and live cells. We then explain how low-resolution image sequences are computationally processed to reconstruct super-resolution images and/or extract quantitative information, and highlight a selection of biological discoveries enabled by SMLM and closely related methods. We discuss some of the main limitations and potential artefacts of SMLM, as well as ways to alleviate them. Finally, we present an outlook on advanced techniques and promising new developments in the fast-evolving field of SMLM. We hope that this Primer will be a useful reference for both newcomers and practitioners of SMLM. This Primer explains the central concepts of single-molecule localization microscopy (SMLM) before discussing experimental considerations regarding fluorophores, optics and data acquisition, processing and analysis. The Primer further describes recent high-impact discoveries made by SMLM techniques and concludes by discussing emerging methodologies.
Meier F., Brunner A., Frank M., Ha A., Bludau I., Voytik E., Kaspar-Schoenefeld S., Lubeck M., Raether O., Bache N., Aebersold R., Collins B.C., Röst H.L., Mann M.
Nature Methods scimago Q1 wos Q1
2020-11-30 citations by CoLab: 619 Abstract  
Data-independent acquisition modes isolate and concurrently fragment populations of different precursors by cycling through segments of a predefined precursor m/z range. Although these selection windows collectively cover the entire m/z range, overall, only a few per cent of all incoming ions are isolated for mass analysis. Here, we make use of the correlation of molecular weight and ion mobility in a trapped ion mobility device (timsTOF Pro) to devise a scan mode that samples up to 100% of the peptide precursor ion current in m/z and mobility windows. We extend an established targeted data extraction workflow by inclusion of the ion mobility dimension for both signal extraction and scoring and thereby increase the specificity for precursor identification. Data acquired from whole proteome digests and mixed organism samples demonstrate deep proteome coverage and a high degree of reproducibility as well as quantitative accuracy, even from 10 ng sample amounts. diaPASEF makes use of the correlation between the ion mobility and the m/z of peptides to trap and release precursor ions in a TIMS-TOF mass spectrometer for an almost complete sampling of the precursor ion beam with data-independent acquisition.
Stukalov A., Girault V., Grass V., Karayel O., Bergant V., Urban C., Haas D.A., Huang Y., Oubraham L., Wang A., Hamad M.S., Piras A., Hansen F.M., Tanzer M.C., Paron I., et. al.
Nature scimago Q1 wos Q1
2021-04-12 citations by CoLab: 523 Abstract  
The emergence and global spread of SARS-CoV-2 has resulted in the urgent need for an in-depth understanding of molecular functions of viral proteins and their interactions with the host proteome. Several individual omics studies have extended our knowledge of COVID-19 pathophysiology1–10. Integration of such datasets to obtain a holistic view of virus–host interactions and to define the pathogenic properties of SARS-CoV-2 is limited by the heterogeneity of the experimental systems. Here we report a concurrent multi-omics study of SARS-CoV-2 and SARS-CoV. Using state-of-the-art proteomics, we profiled the interactomes of both viruses, as well as their influence on the transcriptome, proteome, ubiquitinome and phosphoproteome of a lung-derived human cell line. Projecting these data onto the global network of cellular interactions revealed crosstalk between the perturbations taking place upon infection with SARS-CoV-2 and SARS-CoV at different levels and enabled identification of distinct and common molecular mechanisms of these closely related coronaviruses. The TGF-β pathway, known for its involvement in tissue fibrosis, was specifically dysregulated by SARS-CoV-2 ORF8 and autophagy was specifically dysregulated by SARS-CoV-2 ORF3. The extensive dataset (available at https://covinet.innatelab.org ) highlights many hotspots that could be targeted by existing drugs and may be used to guide rational design of virus- and host-directed therapies, which we exemplify by identifying inhibitors of kinases and matrix metalloproteases with potent antiviral effects against SARS-CoV-2. Multi-omics profiling of effects of SARS-CoV-2 and SARS-CoV on A549, a lung-derived human cell line, produces a dataset enabling identification of common and virus-specific mechanisms of infection.
Chen J., Brunner A., Cogan J.Z., Nuñez J.K., Fields A.P., Adamson B., Itzhak D.N., Li J.Y., Mann M., Leonetti M.D., Weissman J.S.
Science scimago Q1 wos Q1 Open Access
2020-03-06 citations by CoLab: 490 PDF Abstract  
Expanding the human proteome Using mass spectrometry, ribosome profiling, and several CRISPR-based screens, Chen et al. identified hundreds of previously uncharacterized functional micropeptides in the human genome (see the Perspective by Wei and Guo). Protein translation outside of annotated open reading frames (ORFs) in messenger RNAs and within ORFs in long noncoding RNAs is pervasive. A functional screen using CRISPR-Cas9 with single-cell transcriptomics suggested critical roles for hundreds of micropeptides. Micropeptides encoded by multiple short, upstream ORFs form stable protein complexes with the downstream canonical proteins encoded on the same messenger RNAs. Science, this issue p. 1140; see also p. 1074 Systematic investigation of unannotated open reading frames reveals extensive translation of previously uncharacterized peptides with important functional roles. Ribosome profiling has revealed pervasive but largely uncharacterized translation outside of canonical coding sequences (CDSs). In this work, we exploit a systematic CRISPR-based screening strategy to identify hundreds of noncanonical CDSs that are essential for cellular growth and whose disruption elicits specific, robust transcriptomic and phenotypic changes in human cells. Functional characterization of the encoded microproteins reveals distinct cellular localizations, specific protein binding partners, and hundreds of microproteins that are presented by the human leukocyte antigen system. We find multiple microproteins encoded in upstream open reading frames, which form stable complexes with the main, canonical protein encoded on the same messenger RNA, thereby revealing the use of functional bicistronic operons in mammals. Together, our results point to a family of functional human microproteins that play critical and diverse cellular roles.
Akdel M., Pires D.E., Pardo E.P., Jänes J., Zalevsky A.O., Mészáros B., Bryant P., Good L.L., Laskowski R.A., Pozzati G., Shenoy A., Zhu W., Kundrotas P., Serra V.R., Rodrigues C.H., et. al.
2022-11-07 citations by CoLab: 385 Abstract  
Most proteins fold into 3D structures that determine how they function and orchestrate the biological processes of the cell. Recent developments in computational methods for protein structure predictions have reached the accuracy of experimentally determined models. Although this has been independently verified, the implementation of these methods across structural-biology applications remains to be tested. Here, we evaluate the use of AlphaFold2 (AF2) predictions in the study of characteristic structural elements; the impact of missense variants; function and ligand binding site predictions; modeling of interactions; and modeling of experimental structural data. For 11 proteomes, an average of 25% additional residues can be confidently modeled when compared with homology modeling, identifying structural features rarely seen in the Protein Data Bank. AF2-based predictions of protein disorder and complexes surpass dedicated tools, and AF2 models can be used across diverse applications equally well compared with experimentally determined structures, when the confidence metrics are critically considered. In summary, we find that these advances are likely to have a transformative impact in structural biology and broader life-science research. Here, the authors evaluate the performance of AlphaFold2 and its predicted structures on common structural biological applications, including missense variants, function and ligand binding site prediction, modeling of interactions and modeling of experimental structural data.
Kalafati L., Kourtzelis I., Schulte-Schrepping J., Li X., Hatzioannou A., Grinenko T., Hagag E., Sinha A., Has C., Dietz S., de Jesus Domingues A.M., Nati M., Sormendi S., Neuwirth A., Chatzigeorgiou A., et. al.
Cell scimago Q1 wos Q1
2020-10-29 citations by CoLab: 368 Abstract  
Trained innate immunity, induced via modulation of mature myeloid cells or their bone marrow progenitors, mediates sustained increased responsiveness to secondary challenges. Here, we investigated whether anti-tumor immunity can be enhanced through induction of trained immunity. Pre-treatment of mice with β-glucan, a fungal-derived prototypical agonist of trained immunity, resulted in diminished tumor growth. The anti-tumor effect of β-glucan-induced trained immunity was associated with transcriptomic and epigenetic rewiring of granulopoiesis and neutrophil reprogramming toward an anti-tumor phenotype; this process required type I interferon signaling irrespective of adaptive immunity in the host. Adoptive transfer of neutrophils from β-glucan-trained mice to naive recipients suppressed tumor growth in the latter in a ROS-dependent manner. Moreover, the anti-tumor effect of β-glucan-induced trained granulopoiesis was transmissible by bone marrow transplantation to recipient naive mice. Our findings identify a novel and therapeutically relevant anti-tumor facet of trained immunity involving appropriate rewiring of granulopoiesis.
Brunner A., Thielert M., Vasilopoulou C., Ammar C., Coscia F., Mund A., Hoerning O.B., Bache N., Apalategui A., Lubeck M., Richter S., Fischer D.S., Raether O., Park M.A., Meier F., et. al.
Molecular Systems Biology scimago Q1 wos Q1 Open Access
2022-02-28 citations by CoLab: 359
Kardell O., Gronauer T., von Toerne C., Merl-Pham J., König A., Barth T.K., Mergner J., Ludwig C., Tüshaus J., Giesbertz P., Breimann S., Schweizer L., Müller T., Kliewer G., Distler U., et. al.
Journal of Proteome Research scimago Q1 wos Q1
2025-02-07 citations by CoLab: 0
Kabatnik S., Zheng X., Pappas G., Steigerwald S., Padula M.P., Mann M.
npj Precision Oncology scimago Q1 wos Q1 Open Access
2025-02-05 citations by CoLab: 0 PDF Abstract  
Abstract Signet Ring Cell Carcinoma (SRCC) is a rare and highly malignant form of adenocarcinoma with increasing incidence and poor prognosis due to late diagnosis and limited treatment options. We employed Deep Visual Proteomics (DVP), which combines AI-directed cell segmentation and classification with laser microdissection and ultra-high sensitivity mass spectrometry, for cell-type-specific proteomic analysis of SRCC across the bladder, prostate, seminal vesicle, and a lymph node of a single patient. DVP identified significant alterations in DNA damage response (DDR) proteins, particularly within the ATR and mismatch repair (MMR) pathways, indicating replication stress as a crucial factor in SRCC mutagenicity. Additionally, we observed substantial enrichment of immune-related proteins, reflecting high levels of cytotoxic T lymphocyte infiltration and elevated PD-1 expression. These findings suggest that pembrolizumab immunotherapy may be more effective than conventional chemotherapy for this patient. Our results provide novel insights into the proteomic landscape of SRCC, identify potential targets, and open up for personalized therapeutic strategies in managing SRCC.
Garriga F., Martínez-Hernández J., Parra-Balaguer A., Llavanera M., Yeste M.
Scientific Reports scimago Q1 wos Q1 Open Access
2025-02-04 citations by CoLab: 0 PDF Abstract  
Liquid storage is the primary preservation method in the swine breeding industry because of its advantages over cryopreservation. Calcium (Ca2+), a key regulator of cell physiology, plays a crucial role during liquid preservation. Sarcoplasmic/Endoplasmic Reticulum Ca2+ ATPases (SERCA) belong to a family of P-type ATPases that regulate Ca2+ homeostasis within cells and have been previously described to play a function in the sperm of various mammalian species. Herein, we hypothesized that SERCA2 is present in pig sperm and is involved in the resilience of this cell to liquid preservation at 17 °C. For this purpose, sperm were incubated with different concentrations of thapsigargin (Thg; 0, 5, 25, and 50 µM) and stored at 17 °C for ten days. The presence and localization of SERCA2 were evaluated using immunoblotting and immunofluorescence, respectively. On days 0, 4, and 10, sperm motility was assessed using a computer-assisted sperm analysis (CASA) system, and sperm viability, membrane lipid disorder, acrosome integrity, mitochondrial membrane potential (MMP), and intracellular levels of Ca2+, superoxides and total reactive oxygen species (ROS) were evaluated by flow cytometry. We localized SERCA2 in the acrosome and midpiece of pig sperm. Furthermore, inhibition of SERCA with Thg resulted in reduced sperm viability and membrane stability, and increased MMP, and Ca2+ and ROS levels. In conclusion, the activity of SERCA prevents the accumulation of intracellular Ca2+ in sperm, which is detrimental to sperm quality and function during liquid storage at 17 °C. We thus suggest that the function of SERCA is crucial for the preservation of pig semen.
Guinart A., Doellerer D., Qutbuddin Y., Zivkovic H., Branca C., Hrebik D., Schwille P., Feringa B.L.
Langmuir scimago Q1 wos Q2
2025-02-03 citations by CoLab: 0
Li Y., Chen D., Tang T., Shen X.
Pattern Recognition scimago Q1 wos Q1
2025-02-01 citations by CoLab: 3 Abstract  
We explore the application of Vision Transformer (ViT) for handwritten text recognition. The limited availability of labeled data in this domain poses challenges for achieving high performance solely relying on ViT. Previous transformer-based models required external data or extensive pre-training on large datasets to excel. To address this limitation, we introduce a data-efficient ViT method that uses only the encoder of the standard transformer. We find that incorporate a Convolutional Neural Network (CNN) for feature extraction instead of the original patch embedding and employ Sharpness-Aware Minimization (SAM) optimizer to ensure that the model can converge towards flatter minima yield notable enhancements. Furthermore, our introduction of the span mask technique, which masks interconnected features in the feature map, acts as an effective regularizer. Empirically, our approach competes favarably with traditional CNN-based models on small datasets like IAM and READ2016. Additionally, it establishes a new benchmark on the LAM dataset, currently the largest dataset with 19,830 training text lines. The code will be publicly available at: https://github.com/YutingLi0606/HTR-VT.
Chakraborty S., Martinez-Sanchez A., Beck F., Toro-Nahuelpan M., Hwang I., Noh K., Baumeister W., Mahamid J.
2025-01-31 citations by CoLab: 1 Abstract  
The functional architecture of the long-lived neuronal microtubule (MT) cytoskeleton is maintained by various MT-associated proteins (MAPs), most of which are known to bind to the MT outer surface. However, electron microscopy (EM) has long ago revealed the presence of particles inside the lumens of neuronal MTs, of yet unknown identity and function. Here, we use cryogenic electron tomography (cryo-ET) to analyze the three-dimensional (3D) organization and structures of MT lumenal particles in primary hippocampal neurons, human induced pluripotent stem cell–derived neurons, and pluripotent and differentiated P19 cells. We obtain in situ density maps of several lumenal particles from the respective cells and detect common structural features underscoring their potential overarching functions. Mass spectrometry-based proteomics combined with structural modeling suggest that a subset of lumenal particles could be tubulin-binding cofactors (TBCs) bound to tubulin monomers. A different subset of smaller particles, which remains unidentified, exhibits densities that bridge across the MT protofilaments. We show that increased lumenal particle concentration within MTs is concomitant with neuronal differentiation and correlates with higher MT curvatures. Enrichment of lumenal particles around MT lattice defects and at freshly polymerized MT open-ends suggests a MT protective role. Together with the identified structural resemblance of a subset of particles to TBCs, these results hint at a role in local tubulin proteostasis for the maintenance of long-lived neuronal MTs.
Barrera-Paez J.D., Bacman S.R., Balla T., Van Booven D., Gannamedi D.P., Stewart J.B., Mok B., Liu D.R., Lombard D.B., Griswold A.J., Nedialkova D.D., Moraes C.T.
Science Translational Medicine scimago Q1 wos Q1
2025-01-29 citations by CoLab: 0 Abstract  
Primary mitochondrial disorders are most often caused by deleterious mutations in the mitochondrial DNA (mtDNA). Here, we used a mitochondrial DddA-derived cytosine base editor (DdCBE) to introduce a compensatory edit in a mouse model that carries the pathological mutation in the mitochondrial transfer RNA (tRNA) alanine (mt-tRNA Ala ) gene. Because the original m.5024C→T mutation (G→A in the mt-tRNA Ala ) destabilizes the mt-tRNA Ala aminoacyl stem, we designed a compensatory m.5081G→A edit (C→T in the mt-tRNA Ala ) that could restore the secondary structure of the tRNA Ala aminoacyl stem. For this, the DdCBE gene construct was initially tested in an m.5024C→T mutant cell line. The reduced mt-tRNA Ala amounts in these cells were increased after editing up to 78% of the mtDNA. Then, DdCBE was packaged in recombinant adeno-associated virus 9 (AAV9) and intravenously administered by retro-orbital injections into mice. Expression of the transduced DdCBE was observed in the heart and skeletal muscle. Total mt-tRNA Ala amounts were restored in heart and muscle by the m.5081G→A edit in a dose-dependent manner. Lactate amounts, which were increased in the heart, were also decreased in treated mice. However, the highest dose tested of AAV9-DdCBE also induced severe adverse effects in vivo because of the extensive mtDNA off-target editing that it generated. These results show that although DdCBE is a promising gene therapy tool for mitochondrial disorders, the doses of the therapeutic constructs must be carefully monitored to avoid deleterious off-target editing.
Muhar M.F., Farnung J., Cernakova M., Hofmann R., Henneberg L.T., Pfleiderer M.M., Denoth-Lippuner A., Kalčic F., Nievergelt A.S., Peters Al-Bayati M., Sidiropoulos N.D., Beier V., Mann M., Jessberger S., Jinek M., et. al.
Nature scimago Q1 wos Q1
2025-01-29 citations by CoLab: 3 Abstract  
Abstract During normal cellular homeostasis, unfolded and mislocalized proteins are recognized and removed, preventing the build-up of toxic byproducts1. When protein homeostasis is perturbed during ageing, neurodegeneration or cellular stress, proteins can accumulate several forms of chemical damage through reactive metabolites2,3. Such modifications have been proposed to trigger the selective removal of chemically marked proteins3–6; however, identifying modifications that are sufficient to induce protein degradation has remained challenging. Here, using a semi-synthetic chemical biology approach coupled to cellular assays, we found that C-terminal amide-bearing proteins (CTAPs) are rapidly cleared from human cells. A CRISPR screen identified FBXO31 as a reader of C-terminal amides. FBXO31 is a substrate receptor for the SKP1–CUL1–F-box protein (SCF) ubiquitin ligase SCF–FBXO31, which ubiquitylates CTAPs for subsequent proteasomal degradation. A conserved binding pocket enables FBXO31 to bind to almost any C-terminal peptide bearing an amide while retaining exquisite selectivity over non-modified clients. This mechanism facilitates binding and turnover of endogenous CTAPs that are formed after oxidative stress. A dominant human mutation found in neurodevelopmental disorders reverses CTAP recognition, such that non-amidated neosubstrates are now degraded and FBXO31 becomes markedly toxic. We propose that CTAPs may represent the vanguard of a largely unexplored class of modified amino acid degrons that could provide a general strategy for selective yet broad surveillance of chemically damaged proteins.
Kraus F., He Y., Swarup S., Overmyer K.A., Jiang Y., Brenner J., Capitanio C., Bieber A., Jen A., Nightingale N.M., Anderson B.J., Lee C., Paulo J.A., Smith I.R., Plitzko J.M., et. al.
Science advances scimago Q1 wos Q1 Open Access
2025-01-24 citations by CoLab: 0 PDF Abstract  
Lysosomal storage diseases (LSDs) comprise ~50 monogenic disorders marked by the buildup of cellular material in lysosomes, yet systematic global molecular phenotyping of proteins and lipids is lacking. We present a nanoflow-based multiomic single-shot technology (nMOST) workflow that quantifies HeLa cell proteomes and lipidomes from over two dozen LSD mutants. Global cross-correlation analysis between lipids and proteins identified autophagy defects, notably the accumulation of ferritinophagy substrates and receptors, especially in NPC1 −/− and NPC2 −/− mutants, where lysosomes accumulate cholesterol. Autophagic and endocytic cargo delivery failures correlated with elevated lysophosphatidylcholine species and multilamellar structures visualized by cryo–electron tomography. Loss of mitochondrial cristae, MICOS complex components, and OXPHOS components rich in iron-sulfur cluster proteins in NPC2 −/− cells was largely alleviated when iron was provided through the transferrin system. This study reveals how lysosomal dysfunction affects mitochondrial homeostasis and underscores nMOST as a valuable discovery tool for identifying molecular phenotypes across LSDs.
Skowronek P., Wallmann G., Wahle M., Willems S., Mann M.
Nature Protocols scimago Q1 wos Q1
2025-01-17 citations by CoLab: 0 Abstract  
Deep and accurate proteome analysis is crucial for understanding cellular processes and disease mechanisms; however, it is challenging to implement in routine settings. In this protocol, we combine a robust chromatographic platform with a high-performance mass spectrometric setup to enable routine yet in-depth proteome coverage for a broad community. This entails tip-based sample preparation and pre-formed gradients (Evosep One) combined with a trapped ion mobility time-of-flight mass spectrometer (timsTOF, Bruker). The timsTOF enables parallel accumulation–serial fragmentation (PASEF), in which ions are accumulated and separated by their ion mobility, maximizing ion usage and simplifying spectra. Combined with data-independent acquisition (DIA), it offers high peak sampling rates and near-complete ion coverage. Here, we explain how to balance quantitative accuracy, specificity, proteome coverage and sensitivity by choosing the best PASEF and DIA method parameters. The protocol describes how to set up the liquid chromatography–mass spectrometry system and enables PASEF method generation and evaluation for varied samples by using the py_diAID tool to optimally position isolation windows in the mass-to-charge and ion mobility space. Biological projects (e.g., triplicate proteome analysis in two conditions) can be performed in 3 d with ~3 h of hands-on time and minimal marginal cost. This results in reproducible quantification of 7,000 proteins in a human cancer cell line in quadruplicate 21-min injections and 29,000 phosphosites for phospho-enriched quadruplicates. Synchro-PASEF, a highly efficient, specific and novel scan mode, can be analyzed by Spectronaut or AlphaDIA, resulting in superior quantitative reproducibility because of its high sampling efficiency. Aligning trapped ion mobility with a mass-selective quadrupole and time-of-flight mass spectrometry enables parallel accumulation–serial fragmentation, which improves proteomic analysis. This protocol comprehensively describes PASEF workflows.
Pousa S., Ramos-Bermúdez P.E., Besada V., Cabrales-Rico A., Guirola Cruz O., Garay H.E., Rodríguez-Mallón A., Zettl K., Wiśniewski J.R., González L.J.
The Analyst scimago Q2 wos Q2
2025-01-16 citations by CoLab: 0 Abstract  
Keyhole limpet haemocyanins (KLH1 and KLH2) from Megathura crenulata, are multi-subunit oxygen-carrying metalloproteins of approximately 3900 amino acids, that are widely used as carrier proteins in conjugate vaccines and in immunotherapy.
Egea‐Rodriguez S., Váraljai R., Nordmann T.M., Lubis R., Philip M., Rambow F., Roesch A., Flaig M., Horn S., Stoll R., Zhao F., Paschen A., Klebl B., Hickson I.D., Schadendorf D., et. al.
2025-01-15 citations by CoLab: 0 PDF Abstract  
AbstractBackgroundCancer immunotherapy has transformed metastatic cancer treatment, yet challenges persist regarding therapeutic efficacy. RECQL4, a RecQ‐like helicase, plays a central role in DNA replication and repair as part of the DNA damage response, a pathway implicated in enhancing efficacy of immune checkpoint inhibitor (ICI) therapies. However, its role in patient response to ICI remains unclear.MethodsWe analysed whole exome and bulk RNA sequencing data from a pan‐cancer cohort of 25 775 patients and cutaneous melanoma cohorts (untreated: n = 471, anti‐progressive disease [PD]‐1 treated: n = 212). RECQL4 copy number variations and expression levels were assessed for patient outcomes. We performed gene set enrichment analysis to identify RECQL4‐dependent signalling pathways and explored the association between RECQL4 levels and immunoscores. We evaluated the interplay of ICI response and RECQL4 expression in melanoma cohorts of 95 responders and 85 non‐responders prior to and after ICI‐targeted therapy and tested the prognostic power of RECQL4. Finally, we generated genetically engineered RECQL4 variants and conducted comprehensive multi‐omic profiling, employing techniques such as liquid chromatography with tandem mass spectrometry, to elucidate mechanistic insights.ResultsWe identified RECQL4 as a critical negative regulator of poor prognosis and response to ICI therapy, but also demonstrated its suitability as an independent biomarker in melanoma. High tumour purity and limited signatures of tumour immunogenicity associated with response to anti‐PD‐1 correlated with high RECQL4 activity. We found alterations in the secretion profile of immune regulatory factors and immune‐related pathways robustly suppressed in tumours with high RECQL4 levels, underscoring its crucial role in fostering immune evasion. Mechanistically, we identified RECQL4‐mediated regulation of major histocompatibility complex class II molecule expression and uncovered class II major histocompatibility complex transactivator as a mediator bridging this regulation.ConclusionsOur findings unraveled the pivotal role of RECQL4 in immune modulation and its potential as both a predictive biomarker and therapeutic target for optimising immunotherapeutic strategies across various cancer types.Highlights High RECQL4 expression limits survival and can act as an independent prognostic factor in melanoma patients. RECQL4 has the potential to act as a negative feedback mediator of immune checkpoint‐targeted therapy by limiting signatures associated with therapeutic efficacy. RECQL4 favours an immune‐evasive phenotype by downregulating major histocompatibility complex class II molecules.
Xu R., Li K., Chen A., Chen Y., Sheng R., Chen C., Qin H., Zhang W., Liu Y., Rodríguez H.V., Kanaparti D., Zhu B.
2025-01-12 citations by CoLab: 0 Abstract  
ABSTRACTThe abandonment of cultivated fields notably affects soil characteristics. However, its impact on soil microbial community composition, particularly under different fertilization regimes, remains poorly understood. Therefore, we evaluated the effects of abandoned paddy fields with different fertilization histories (no fertilization, NK, NP, and NPK) on the abundance, composition, and their predicted function of soil bacteria and fungi. Our findings revealed that the abandonment led to a considerable decrease in soil bacterial and fungal biomass. Fertilization history and abandonment each significantly affected on the bacterial community, resulting in increased relative proportions of Acidobacteria and decreased relative proportions of Proteobacteria in the NP and NPK treatments compared to those in the CK and NK treatments. The fungal community only exhibited a notable response to abandonment, with variations in the relative abundance of Ascomycota, Mucoromycota, and Basidiomycota. Canonical correspondence analysis revealed the significant association between soil bacterial community and pH, total phosphorus, and available phosphorus, whereas the pH and NO3−–N were key drivers of fungal community variations in abandoned soils. Network analysis indicated that abandonment enhanced the complexity but decreased the stability of the bacterial community, while fungi exhibited the opposite trend. Our findings highlight that changes in bacterial functions caused by residual nutrients, particularly high residual phosphorus, may accelerate soil organic C decomposition. Overall, this study provides a novel insight into the shifts in soil bacterial and fungal communities and their ecological functions after the abandonment of cultivated fields.
Pegoraro C., Karpova E., Qutbuddin Y., Sanchis E.M., Dimitrijevs P., Huck‐Iriart C., Gavrilović S., Arsenyan P., Schwille P., Felip‐León C., Duro‐Castano A., Conejos‐Sanchez I., Vicent M.J.
Advanced Materials scimago Q1 wos Q1
2025-01-10 citations by CoLab: 3 Abstract  
AbstractMitochondria play critical roles in regulating cell fate, with dysfunction correlating with the development of multiple diseases, emphasizing the need for engineered nanomedicines that cross biological barriers. Said nanomedicines often target fluctuating mitochondrial properties and/or present inefficient/insufficient cytosolic delivery (resulting in poor overall activity), while many require complex synthetic procedures involving targeting residues (hindering clinical translation). The synthesis/characterization of polypeptide‐based cell penetrating diblock copolymers of poly‐L‐ornithine (PLO) and polyproline (PLP) (PLOn‐PLPm, n:m ratio 1:3) are described as mitochondria‐targeting nanocarriers. Synthesis involves a simple two‐step methodology based on N‐carboxyanhydride ring‐opening polymerization, with the scale‐up optimization using a “design of experiments” approach. The molecular mechanisms behind targetability and therapeutic activity are investigated through physical/biological processes for diblock copolymers themselves or as targeting moieties in a poly‐L‐glutamic (PGA)‐based conjugate. Diblock copolymers prompt rapid cell entry via energy‐independent mechanisms and recognize mitochondria through the mitochondria‐specific phospholipid cardiolipin (CL). Stimuli‐driven conditions and mitochondria polarization dynamics, which decrease efficacy depending on disease type/stage, do not compromise diblock copolymer uptake/targetability. Diblock copolymers exhibit inherent concentration‐dependent anti‐tumorigenic activity at the mitochondrial level. The diblock copolymer conjugate possesses improved safety, significant cell penetration, and mitochondrial accumulation via cardiolipin recognition. These findings may support the development of efficient and safe mitochondrial‐targeting nanomedicines.

Since 1950

Total publications
9421
Total citations
721758
Citations per publication
76.61
Average publications per year
125.61
Average authors per publication
6.69
h-index
328
Metrics description

Top-30

Fields of science

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Molecular Biology, 2888, 30.65%
Biochemistry, 2223, 23.6%
Cell Biology, 1821, 19.33%
General Medicine, 1053, 11.18%
Structural Biology, 947, 10.05%
Genetics, 874, 9.28%
General Biochemistry, Genetics and Molecular Biology, 860, 9.13%
Multidisciplinary, 720, 7.64%
Biophysics, 655, 6.95%
General Chemistry, 617, 6.55%
Microbiology, 335, 3.56%
Molecular Medicine, 331, 3.51%
Immunology, 328, 3.48%
Organic Chemistry, 311, 3.3%
General Neuroscience, 289, 3.07%
Cancer Research, 278, 2.95%
General Physics and Astronomy, 277, 2.94%
Biotechnology, 249, 2.64%
Clinical Biochemistry, 240, 2.55%
Analytical Chemistry, 233, 2.47%
General Immunology and Microbiology, 222, 2.36%
Drug Discovery, 205, 2.18%
Oncology, 203, 2.15%
Developmental Biology, 192, 2.04%
Immunology and Allergy, 186, 1.97%
Ecology, Evolution, Behavior and Systematics, 184, 1.95%
Hematology, 183, 1.94%
Virology, 175, 1.86%
Physiology, 162, 1.72%
Physical and Theoretical Chemistry, 159, 1.69%
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USA, 1522, 16.16%
United Kingdom, 648, 6.88%
Switzerland, 505, 5.36%
France, 420, 4.46%
Denmark, 412, 4.37%
Netherlands, 312, 3.31%
Italy, 265, 2.81%
Austria, 263, 2.79%
Sweden, 234, 2.48%
Japan, 204, 2.17%
Spain, 202, 2.14%
Australia, 181, 1.92%
China, 152, 1.61%
Canada, 141, 1.5%
Israel, 139, 1.48%
Belgium, 124, 1.32%
Poland, 113, 1.2%
Hungary, 71, 0.75%
Finland, 56, 0.59%
Russia, 54, 0.57%
Portugal, 50, 0.53%
Republic of Korea, 45, 0.48%
Singapore, 44, 0.47%
India, 38, 0.4%
Czech Republic, 36, 0.38%
Brazil, 35, 0.37%
Norway, 34, 0.36%
Philippines, 27, 0.29%
Slovenia, 25, 0.27%
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  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
  • Publications published earlier than 1950 are ignored in the statistics.
  • The horizontal charts show the 30 top positions.
  • Journals quartiles values are relevant at the moment.