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  1. Dissertation / Habilitation ; Online: Multiscale Approaches to Complex Human Diseases

    Beckmann, Noam D.

    2018  

    Abstract: Elucidating the fundamental biological mechanisms underlying complex diseases remains, to date, a challenging task. Genetic approaches have been used to implicate genes and pathways in disease, but classical (reverse) and population (forward) genetic ... ...

    Abstract Elucidating the fundamental biological mechanisms underlying complex diseases remains, to date, a challenging task. Genetic approaches have been used to implicate genes and pathways in disease, but classical (reverse) and population (forward) genetic approaches have fallen short of bringing new understanding to multi-factorial disorders. With the emergence of rapidly advancing, new technologies and the dramatic reduction of their costs, new algorithms and analytical models that maximally leverage the data these technologies generate, are being developed to uncover novel biological insights for complex traits. Furthermore, the integration of multiple strata of biological information permits the creation of better representations of disease. This thesis aims to leverage some of these models on novel multi-scale datasets to explore the mechanisms of Alzheimer’s disease and the variability of induced pluripotent stem cells.
    Schlagwörter Genetics|Systematic biology|Bioinformatics
    Sprache ENG
    Erscheinungsdatum 2018-01-01 00:00:01.0
    Verlag Icahn School of Medicine at Mount Sinai
    Erscheinungsland us
    Dokumenttyp Dissertation / Habilitation ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel: Characterizing cell type specific transcriptional differences between the living and postmortem human brain.

    Vornholt, Eric / Liharska, Lora E / Cheng, Esther / Hashemi, Alice / Park, You Jeong / Ziafat, Kimia / Wilkins, Lillian / Silk, Hannah / Linares, Lisa M / Thompson, Ryan C / Sullivan, Brendan / Moya, Emily / Nadkarni, Girish N / Sebra, Robert / Schadt, Eric E / Kopell, Brian H / Charney, Alexander W / Beckmann, Noam D

    medRxiv : the preprint server for health sciences

    2024  

    Abstract: Single-nucleus RNA sequencing (snRNA-seq) is often used to define gene expression patterns characteristic of brain cell types as well as to identify cell type specific gene expression signatures of neurological and mental illnesses in postmortem human ... ...

    Abstract Single-nucleus RNA sequencing (snRNA-seq) is often used to define gene expression patterns characteristic of brain cell types as well as to identify cell type specific gene expression signatures of neurological and mental illnesses in postmortem human brains. As methods to obtain brain tissue from living individuals emerge, it is essential to characterize gene expression differences associated with tissue originating from either living or postmortem subjects using snRNA-seq, and to assess whether and how such differences may impact snRNA-seq studies of brain tissue. To address this, human prefrontal cortex single nuclei gene expression was generated and compared between 31 samples from living individuals and 21 postmortem samples. The same cell types were consistently identified in living and postmortem nuclei, though for each cell type, a large proportion of genes were differentially expressed between samples from postmortem and living individuals. Notably, estimation of cell type proportions by cell type deconvolution of pseudo-bulk data was found to be more accurate in samples from living individuals. To allow for future integration of living and postmortem brain gene expression, a model was developed that quantifies from gene expression data the probability a human brain tissue sample was obtained postmortem. These probabilities are established as a means to statistically account for the gene expression differences between samples from living and postmortem individuals. Together, the results presented here provide a deep characterization of both differences between snRNA-seq derived from samples from living and postmortem individuals, as well as qualify and account for their effect on common analyses performed on this type of data.
    Sprache Englisch
    Erscheinungsdatum 2024-05-01
    Erscheinungsland United States
    Dokumenttyp Preprint
    DOI 10.1101/2024.05.01.24306590
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel: Dual-specificity protein phosphatase 6 (DUSP6) overexpression reduces amyloid load and improves memory deficits in male 5xFAD mice.

    Pan, Allen L / Audrain, Mickael / Sakakibara, Emmy / Joshi, Rajeev / Zhu, Xiaodong / Wang, Qian / Wang, Minghui / Beckmann, Noam D / Schadt, Eric E / Gandy, Sam / Zhang, Bin / Ehrlich, Michelle E / Salton, Stephen R

    bioRxiv : the preprint server for biology

    2023  

    Abstract: Background: Dual specificity protein phosphatase 6 (DUSP6) was recently identified as a key hub gene in a causal network that regulates late-onset Alzheimer's disease. Importantly, decreased DUSP6 levels are correlated with an increased clinical ... ...

    Abstract Background: Dual specificity protein phosphatase 6 (DUSP6) was recently identified as a key hub gene in a causal network that regulates late-onset Alzheimer's disease. Importantly, decreased DUSP6 levels are correlated with an increased clinical dementia rating in human subjects, and DUSP6 levels are additionally decreased in the 5xFAD amyloidopathy mouse model.
    Methods: AAV5-DUSP6 or AAV5-GFP (control) were stereotactically injected into the dorsal hippocampus (dHc) of female and male 5xFAD or wild type mice to overexpress DUSP6 or GFP. Spatial learning memory of these mice was assessed in the Barnes maze, after which hippocampal tissues were isolated for downstream analysis.
    Results: Barnes maze testing indicated that DUSP6 overexpression in the dHc of 5xFAD mice improved memory deficits and was associated with reduced amyloid plaque load, Aß
    Conclusions: In summary, our data indicate that DUSP6 overexpression in dHc reduced amyloid deposition and memory deficits in male but not female 5xFAD mice, whereas reduced neuroinflammation and microglial activation were observed in both males and females. The sex-dependent regulation of synaptic pathways by DUSP6 overexpression, however, correlated with the improvement of spatial memory deficits in male but not female 5xFAD.
    Sprache Englisch
    Erscheinungsdatum 2023-08-25
    Erscheinungsland United States
    Dokumenttyp Preprint
    DOI 10.1101/2023.08.24.554335
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel ; Online: Dual-Specificity Protein Phosphatase 4 (DUSP4) Overexpression Improves Learning Behavior Selectively in Female 5xFAD Mice, and Reduces β-Amyloid Load in Males and Females.

    Pan, Allen L / Audrain, Mickael / Sakakibara, Emmy / Joshi, Rajeev / Zhu, Xiaodong / Wang, Qian / Wang, Minghui / Beckmann, Noam D / Schadt, Eric E / Gandy, Sam / Zhang, Bin / Ehrlich, Michelle E / Salton, Stephen R

    Cells

    2022  Band 11, Heft 23

    Abstract: Recent multiscale network analyses of banked brains from subjects who died of late-onset sporadic Alzheimer's disease converged ... ...

    Abstract Recent multiscale network analyses of banked brains from subjects who died of late-onset sporadic Alzheimer's disease converged on
    Mesh-Begriff(e) Animals ; Female ; Male ; Mice ; Alzheimer Disease/genetics ; Alzheimer Disease/pathology ; Amyloid beta-Peptides/metabolism ; Extracellular Signal-Regulated MAP Kinases/metabolism ; Hippocampus/metabolism ; Protein Tyrosine Phosphatases/genetics ; Learning
    Chemische Substanzen Amyloid beta-Peptides ; Extracellular Signal-Regulated MAP Kinases (EC 2.7.11.24) ; MKP2 protein, mouse (EC 3.1.3.48) ; Protein Tyrosine Phosphatases (EC 3.1.3.48)
    Sprache Englisch
    Erscheinungsdatum 2022-12-01
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2661518-6
    ISSN 2073-4409 ; 2073-4409
    ISSN (online) 2073-4409
    ISSN 2073-4409
    DOI 10.3390/cells11233880
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel ; Online: Persistent complement dysregulation with signs of thromboinflammation in active Long Covid.

    Cervia-Hasler, Carlo / Brüningk, Sarah C / Hoch, Tobias / Fan, Bowen / Muzio, Giulia / Thompson, Ryan C / Ceglarek, Laura / Meledin, Roman / Westermann, Patrick / Emmenegger, Marc / Taeschler, Patrick / Zurbuchen, Yves / Pons, Michele / Menges, Dominik / Ballouz, Tala / Cervia-Hasler, Sara / Adamo, Sarah / Merad, Miriam / Charney, Alexander W /
    Puhan, Milo / Brodin, Petter / Nilsson, Jakob / Aguzzi, Adriano / Raeber, Miro E / Messner, Christoph B / Beckmann, Noam D / Borgwardt, Karsten / Boyman, Onur

    Science (New York, N.Y.)

    2024  Band 383, Heft 6680, Seite(n) eadg7942

    Abstract: Long Covid is a debilitating condition of unknown etiology. We performed multimodal proteomics analyses of blood serum from COVID-19 patients followed up to 12 months after confirmed severe acute respiratory syndrome coronavirus 2 infection. Analysis of > ...

    Abstract Long Covid is a debilitating condition of unknown etiology. We performed multimodal proteomics analyses of blood serum from COVID-19 patients followed up to 12 months after confirmed severe acute respiratory syndrome coronavirus 2 infection. Analysis of >6500 proteins in 268 longitudinal samples revealed dysregulated activation of the complement system, an innate immune protection and homeostasis mechanism, in individuals experiencing Long Covid. Thus, active Long Covid was characterized by terminal complement system dysregulation and ongoing activation of the alternative and classical complement pathways, the latter associated with increased antibody titers against several herpesviruses possibly stimulating this pathway. Moreover, markers of hemolysis, tissue injury, platelet activation, and monocyte-platelet aggregates were increased in Long Covid. Machine learning confirmed complement and thromboinflammatory proteins as top biomarkers, warranting diagnostic and therapeutic interrogation of these systems.
    Mesh-Begriff(e) Humans ; Complement Activation ; Complement System Proteins/analysis ; Complement System Proteins/metabolism ; Post-Acute COVID-19 Syndrome/blood ; Post-Acute COVID-19 Syndrome/complications ; Post-Acute COVID-19 Syndrome/immunology ; Thromboinflammation/blood ; Thromboinflammation/immunology ; Biomarkers/blood ; Proteome ; Proteomics ; Male ; Female ; Young Adult ; Adult ; Middle Aged ; Aged
    Chemische Substanzen Complement System Proteins (9007-36-7) ; Biomarkers ; Proteome
    Sprache Englisch
    Erscheinungsdatum 2024-01-19
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 128410-1
    ISSN 1095-9203 ; 0036-8075
    ISSN (online) 1095-9203
    ISSN 0036-8075
    DOI 10.1126/science.adg7942
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Artikel ; Online: Detecting epigenetic motifs in low coverage and metagenomics settings.

    Beckmann, Noam D / Karri, Sashank / Fang, Gang / Bashir, Ali

    BMC bioinformatics

    2014  Band 15 Suppl 9, Seite(n) S16

    Abstract: Background: It has recently become possible to rapidly and accurately detect epigenetic signatures in bacterial genomes using third generation sequencing data. Monitoring the speed at which a single polymerase inserts a base in the read strand enables ... ...

    Abstract Background: It has recently become possible to rapidly and accurately detect epigenetic signatures in bacterial genomes using third generation sequencing data. Monitoring the speed at which a single polymerase inserts a base in the read strand enables one to infer whether a modification is present at that specific site on the template strand. These sites can be challenging to detect in the absence of high coverage and reliable reference genomes.
    Methods: Here we provide a new method for detecting epigenetic motifs in bacteria on datasets with low-coverage, with incomplete references, and with mixed samples (i.e. metagenomic data). Our approach treats motif inference as a kmer comparison problem. First, genomes (or contigs) are deconstructed into kmers. Then, native genome-wide distributions of interpulse durations (IPDs) for kmers are compared with corresponding whole genome amplified (WGA, modification free) IPD distributions using log likelihood ratios. Finally, kmers are ranked and greedily selected by iteratively correcting for sequences within a particular kmer's neighborhood.
    Conclusions: Our method can detect multiple types of modifications, even at very low-coverage and in the presence of mixed genomes. Additionally, we are able to predict modified motifs when genomes with "neighbor" modified motifs exist within the sample. Lastly, we show that these motifs can provide an alternative source of information by which to cluster metagenomics contigs and that iterative refinement on these clustered contigs can further improve both sensitivity and specificity of motif detection.
    Availability: https://github.com/alibashir/EMMCKmer.
    Mesh-Begriff(e) Algorithms ; Bacteria/genetics ; Base Sequence ; Computer Simulation ; Epigenesis, Genetic ; Genome, Bacterial ; Metagenomics/methods ; Models, Genetic ; Nucleotide Motifs
    Sprache Englisch
    Erscheinungsdatum 2014-09-10
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2041484-5
    ISSN 1471-2105 ; 1471-2105
    ISSN (online) 1471-2105
    ISSN 1471-2105
    DOI 10.1186/1471-2105-15-S9-S16
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  7. Artikel ; Online: A new molecular signature method for prediction of driver cancer pathways from transcriptional data.

    Rykunov, Dmitry / Beckmann, Noam D / Li, Hui / Uzilov, Andrew / Schadt, Eric E / Reva, Boris

    Nucleic acids research

    2016  Band 44, Heft 11, Seite(n) e110

    Abstract: Assigning cancer patients to the most effective treatments requires an understanding of the molecular basis of their disease. While DNA-based molecular profiling approaches have flourished over the past several years to transform our understanding of ... ...

    Abstract Assigning cancer patients to the most effective treatments requires an understanding of the molecular basis of their disease. While DNA-based molecular profiling approaches have flourished over the past several years to transform our understanding of driver pathways across a broad range of tumors, a systematic characterization of key driver pathways based on RNA data has not been undertaken. Here we introduce a new approach for predicting the status of driver cancer pathways based on signature functions derived from RNA sequencing data. To identify the driver cancer pathways of interest, we mined DNA variant data from TCGA and nominated driver alterations in seven major cancer pathways in breast, ovarian and colon cancer tumors. The activation status of these driver pathways were then characterized using RNA sequencing data by constructing classification signature functions in training datasets and then testing the accuracy of the signatures in test datasets. The signature functions differentiate well tumors with nominated pathway activation from tumors with no signs of activation: average AUC equals to 0.83. Our results confirm that driver genomic alterations are distinctively displayed at the transcriptional level and that the transcriptional signatures can generally provide an alternative to DNA sequencing methods in detecting specific driver pathways.
    Mesh-Begriff(e) Algorithms ; Biomarkers, Tumor ; Computational Biology/methods ; Databases, Genetic ; Female ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Genetic Markers ; Genomics/methods ; Humans ; Machine Learning ; Male ; Neoplasms/genetics ; Neoplasms/metabolism ; Signal Transduction ; Transcriptome
    Chemische Substanzen Biomarkers, Tumor ; Genetic Markers
    Sprache Englisch
    Erscheinungsdatum 2016-04-20
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 186809-3
    ISSN 1362-4962 ; 1362-4954 ; 0301-5610 ; 0305-1048
    ISSN (online) 1362-4962 ; 1362-4954
    ISSN 0301-5610 ; 0305-1048
    DOI 10.1093/nar/gkw269
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  8. Artikel ; Online: Analysis of Transcriptional Variability in a Large Human iPSC Library Reveals Genetic and Non-genetic Determinants of Heterogeneity.

    Carcamo-Orive, Ivan / Hoffman, Gabriel E / Cundiff, Paige / Beckmann, Noam D / D'Souza, Sunita L / Knowles, Joshua W / Patel, Achchhe / Hendry, Caroline / Papatsenko, Dimitri / Abbasi, Fahim / Reaven, Gerald M / Whalen, Sean / Lee, Philip / Shahbazi, Mohammad / Henrion, Marc Y R / Zhu, Kuixi / Wang, Sven / Roussos, Panos / Schadt, Eric E /
    Pandey, Gaurav / Chang, Rui / Quertermous, Thomas / Lemischka, Ihor

    Cell stem cell

    2022  Band 29, Heft 10, Seite(n) 1505

    Sprache Englisch
    Erscheinungsdatum 2022-09-20
    Erscheinungsland United States
    Dokumenttyp Published Erratum
    ZDB-ID 2375354-7
    ISSN 1875-9777 ; 1934-5909
    ISSN (online) 1875-9777
    ISSN 1934-5909
    DOI 10.1016/j.stem.2022.08.011
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  9. Artikel: A study of gene expression in the living human brain.

    Liharska, Lora E / Park, You Jeong / Ziafat, Kimia / Wilkins, Lillian / Silk, Hannah / Linares, Lisa M / Vornholt, Eric / Sullivan, Brendan / Cohen, Vanessa / Kota, Prashant / Feng, Claudia / Cheng, Esther / Moya, Emily / Thompson, Ryan C / Johnson, Jessica S / Rieder, Marysia-Kolbe / Huang, Jia / Scarpa, Joseph / Hashemi, Alice /
    Polanco, Jairo / Levin, Matthew A / Nadkarni, Girish N / Sebra, Robert / Crary, John / Schadt, Eric E / Beckmann, Noam D / Kopell, Brian H / Charney, Alexander W

    medRxiv : the preprint server for health sciences

    2023  

    Abstract: A goal of medical research is to determine the molecular basis of human brain health and illness. One way to achieve this goal is through observational studies of gene expression in human brain tissue. Due to the unavailability of brain tissue from ... ...

    Abstract A goal of medical research is to determine the molecular basis of human brain health and illness. One way to achieve this goal is through observational studies of gene expression in human brain tissue. Due to the unavailability of brain tissue from living people, most such studies are performed using tissue from postmortem brain donors. An assumption underlying this practice is that gene expression in the postmortem human brain is an accurate representation of gene expression in the living human brain. Here, this assumption - which, until now, had not been adequately tested - is tested by comparing human prefrontal cortex gene expression between 275 living samples and 243 postmortem samples. Expression levels differed significantly for nearly 80% of genes, and a systematic examination of alternative explanations for this observation determined that these differences are not a consequence of cell type composition, RNA quality, postmortem interval, age, medication, morbidity, symptom severity, tissue pathology, sample handling, batch effects, or computational methods utilized. Analyses integrating the data generated for this study with data from earlier landmark studies that used tissue from postmortem brain donors showed that postmortem brain gene expression signatures of neurological and mental illnesses, as well as of normal traits such as aging, may not be accurate representations of these gene expression signatures in the living brain. By using tissue from large cohorts living people, future observational studies of human brain biology have the potential to (1) determine the medical research questions that can be addressed using postmortem tissue as a proxy for living tissue and (2) expand the scope of medical research to include questions about the molecular basis of human brain health and illness that can only be addressed in living people (e.g., "What happens at the molecular level in the brain as a person experiences an emotion?").
    Sprache Englisch
    Erscheinungsdatum 2023-08-01
    Erscheinungsland United States
    Dokumenttyp Preprint
    DOI 10.1101/2023.04.21.23288916
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  10. Artikel: Multiomic foundations of human prefrontal cortex tissue function.

    Kopell, Brian H / Kaji, Deepak A / Liharska, Lora E / Vornholt, Eric / Valentine, Alissa / Lund, Anina / Hashemi, Alice / Thompson, Ryan C / Lohrenz, Terry / Johnson, Jessica S / Bussola, Nicole / Cheng, Esther / Park, You Jeong / Shah, Punit / Ma, Weiping / Searfoss, Richard / Qasim, Salman / Miller, Gregory M / Chand, Nischal Mahaveer /
    Aristel, Alisha / Humphrey, Jack / Wilkins, Lillian / Ziafat, Kimia / Silk, Hannah / Linares, Lisa M / Sullivan, Brendan / Feng, Claudia / Batten, Seth R / Bang, Dan / Barbosa, Leonardo S / Twomey, Thomas / White, Jason P / Vannucci, Marina / Hadj-Amar, Beniamino / Cohen, Vanessa / Kota, Prashant / Moya, Emily / Rieder, Marysia-Kolbe / Figee, Martijn / Nadkarni, Girish N / Breen, Michael S / Kishida, Kenneth T / Scarpa, Joseph / Ruderfer, Douglas M / Narain, Niven R / Wang, Pei / Kiebish, Michael A / Schadt, Eric E / Saez, Ignacio / Montague, P Read / Beckmann, Noam D / Charney, Alexander W

    medRxiv : the preprint server for health sciences

    2024  

    Abstract: The prefrontal cortex (PFC) is a region of the brain that in humans is involved in the production of higher-order functions such as cognition, emotion, perception, and behavior. Neurotransmission in the PFC produces higher-order functions by integrating ... ...

    Abstract The prefrontal cortex (PFC) is a region of the brain that in humans is involved in the production of higher-order functions such as cognition, emotion, perception, and behavior. Neurotransmission in the PFC produces higher-order functions by integrating information from other areas of the brain. At the foundation of neurotransmission, and by extension at the foundation of higher-order brain functions, are an untold number of coordinated molecular processes involving the DNA sequence variants in the genome, RNA transcripts in the transcriptome, and proteins in the proteome. These "multiomic" foundations are poorly understood in humans, perhaps in part because most modern studies that characterize the molecular state of the human PFC use tissue obtained when neurotransmission and higher-order brain functions have ceased (i.e., the postmortem state). Here, analyses are presented on data generated for the Living Brain Project (LBP) to investigate whether PFC tissue from individuals with intact higher-order brain function has characteristic multiomic foundations. Two complementary strategies were employed towards this end. The first strategy was to identify in PFC samples obtained from living study participants a signature of RNA transcript expression associated with neurotransmission measured intracranially at the time of PFC sampling, in some cases while participants performed a task engaging higher-order brain functions. The second strategy was to perform multiomic comparisons between PFC samples obtained from individuals with intact higher-order brain function at the time of sampling (i.e., living study participants) and PFC samples obtained in the postmortem state. RNA transcript expression within multiple PFC cell types was associated with fluctuations of dopaminergic, serotonergic, and/or noradrenergic neurotransmission in the substantia nigra measured while participants played a computer game that engaged higher-order brain functions. A subset of these associations - termed the "transcriptional program associated with neurotransmission" (TPAWN) - were reproduced in analyses of brain RNA transcript expression and intracranial neurotransmission data obtained from a second LBP cohort and from a cohort in an independent study. RNA transcripts involved in TPAWN were found to be (1) enriched for RNA transcripts associated with measures of neurotransmission in rodent and cell models, (2) enriched for RNA transcripts encoded by evolutionarily constrained genes, (3) depleted of RNA transcripts regulated by common DNA sequence variants, and (4) enriched for RNA transcripts implicated in higher-order brain functions by human population genetic studies. In PFC excitatory neurons of living study participants, higher expression of the genes in TPAWN tracked with higher expression of RNA transcripts that in rodent PFC samples are markers of a class of excitatory neurons that connect the PFC to deep brain structures. TPAWN was further reproduced by RNA transcript expression patterns differentiating living PFC samples from postmortem PFC samples, and significant differences between living and postmortem PFC samples were additionally observed with respect to (1) the expression of most primary RNA transcripts, mature RNA transcripts, and proteins, (2) the splicing of most primary RNA transcripts into mature RNA transcripts, (3) the patterns of co-expression between RNA transcripts and proteins, and (4) the effects of some DNA sequence variants on RNA transcript and protein expression. Taken together, this report highlights that studies of brain tissue obtained in a safe and ethical manner from large cohorts of living individuals can help advance understanding of the multiomic foundations of brain function.
    Sprache Englisch
    Erscheinungsdatum 2024-05-17
    Erscheinungsland United States
    Dokumenttyp Preprint
    DOI 10.1101/2024.05.17.24307537
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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