LIVIVO - Suchergebnisse -

Suchergebnis

Treffer 1 - 10 von insgesamt 32

Suchoptionen

Artikel: Identification of PBMC-based molecular signature associational with COVID-19 disease severity.

Shaath, Hibah / Alajez, Nehad M

2021 Band 7, Heft 5, Seite(n) e06866

Abstract: The longevity of COVID-19 as a global pandemic, and the devastating effects it has had on certain subsets of individuals thus far has highlighted the importance of identifying blood-based biomarkers associated with disease severity. We employed ... ...

Abstract	The longevity of COVID-19 as a global pandemic, and the devastating effects it has had on certain subsets of individuals thus far has highlighted the importance of identifying blood-based biomarkers associated with disease severity. We employed computational and transcriptome analyses of publicly available datasets from PBMCs from 126 patients with COVID-19 admitted to ICU (n = 50), COVID-19 not admitted to ICU (n = 50), non-COVID-19 admitted to ICU (n = 16) and non-COVID-19 not admitted to ICU (n = 10), and utilized the Gencode V33 assembly to analyze protein coding mRNA and long noncoding RNA (lncRNA) transcriptomes in the context of disease severity. Our data identified several aberrantly expressed mRNA and lncRNA based biomarkers associated with SARS-CoV-2 severity, which in turn significantly affected canonical, upstream, and disease functions in each group of patients. Immune, interferon, and antiviral responses were severely suppressed in COVID-19 patients admitted to ICU versus those who were not admitted to ICU. Our data suggests a possible therapeutic approach for severe COVID-19 through administration of interferon therapy. Delving further into these biomarkers, roles and their implications on the onset and disease severity of COVID-19 could play a crucial role in patient stratification and identifying varied therapeutic options with diverse clinical implications.
Sprache	Englisch
Erscheinungsdatum	2021-04-20
Erscheinungsland	England
Dokumenttyp	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2021.e06866
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

Zusatzmaterialien

Über subito bestellen

Dieser Service ist kostenpflichtig (siehe Lieferbedingungen von subito). Bestellungen, die einen Artikel nebst Supplementary Material umfassen, werden grundsätzlich wie mehrfache Bestellungen bearbeitet. Gebühren fallen in diesen Fällen für jede einzelne Bestellung an.

Details ▾
- Kostenpflichtig bestellen

Artikel ; Online: Identification of PBMC-based molecular signature associational with COVID-19 disease severity

Hibah Shaath / Nehad M. Alajez

Heliyon, Vol 7, Iss 5, Pp e06866- (2021)

2021

Abstract	The longevity of COVID-19 as a global pandemic, and the devastating effects it has had on certain subsets of individuals thus far has highlighted the importance of identifying blood-based biomarkers associated with disease severity. We employed computational and transcriptome analyses of publicly available datasets from PBMCs from 126 patients with COVID-19 admitted to ICU (n = 50), COVID-19 not admitted to ICU (n = 50), non-COVID-19 admitted to ICU (n = 16) and non-COVID-19 not admitted to ICU (n = 10), and utilized the Gencode V33 assembly to analyze protein coding mRNA and long noncoding RNA (lncRNA) transcriptomes in the context of disease severity. Our data identified several aberrantly expressed mRNA and lncRNA based biomarkers associated with SARS-CoV-2 severity, which in turn significantly affected canonical, upstream, and disease functions in each group of patients. Immune, interferon, and antiviral responses were severely suppressed in COVID-19 patients admitted to ICU versus those who were not admitted to ICU. Our data suggests a possible therapeutic approach for severe COVID-19 through administration of interferon therapy. Delving further into these biomarkers, roles and their implications on the onset and disease severity of COVID-19 could play a crucial role in patient stratification and identifying varied therapeutic options with diverse clinical implications.
Schlagwörter	COVID-19 ; Severity ; Biomarker ; Transcriptome ; PBMCs ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Thema/Rubrik (Code)	610
Sprache	Englisch
Erscheinungsdatum	2021-05-01T00:00:00Z
Verlag	Elsevier
Dokumenttyp	Artikel ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

Volltext online

Volltext online

Zusatzmaterialien

Fernleihe an ZB MED

Sie können sich den gewünschten Titel als lokale Nutzerin oder lokaler Nutzer von ZB MED direkt an den Standort Köln schicken lassen.

Artikel: Identification of PBMC-based molecular signature associational with COVID-19 disease severity

Shaath, Hibah / Alajez, Nehad M

Heliyon. 2021 May, v. 7, no. 5

2021

Abstract	The longevity of COVID-19 as a global pandemic, and the devastating effects it has had on certain subsets of individuals thus far has highlighted the importance of identifying blood-based biomarkers associated with disease severity. We employed computational and transcriptome analyses of publicly available datasets from PBMCs from 126 patients with COVID-19 admitted to ICU (n = 50), COVID-19 not admitted to ICU (n = 50), non-COVID-19 admitted to ICU (n = 16) and non-COVID-19 not admitted to ICU (n = 10), and utilized the Gencode V33 assembly to analyze protein coding mRNA and long noncoding RNA (lncRNA) transcriptomes in the context of disease severity. Our data identified several aberrantly expressed mRNA and lncRNA based biomarkers associated with SARS-CoV-2 severity, which in turn significantly affected canonical, upstream, and disease functions in each group of patients. Immune, interferon, and antiviral responses were severely suppressed in COVID-19 patients admitted to ICU versus those who were not admitted to ICU. Our data suggests a possible therapeutic approach for severe COVID-19 through administration of interferon therapy. Delving further into these biomarkers, roles and their implications on the onset and disease severity of COVID-19 could play a crucial role in patient stratification and identifying varied therapeutic options with diverse clinical implications.
Schlagwörter	COVID-19 infection ; Severe acute respiratory syndrome coronavirus 2 ; biomarkers ; data collection ; disease severity ; interferons ; longevity ; non-coding RNA ; pandemic ; patients ; therapeutics ; transcriptome
Sprache	Englisch
Erscheinungsverlauf	2021-05
Erscheinungsort	Elsevier Ltd
Dokumenttyp	Artikel
Anmerkung	NAL-AP-2-clean
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2021.e06866
Datenquelle	NAL Katalog (AGRICOLA)

Zusatzmaterialien

Über subito bestellen

Details ▾
- Kostenpflichtig bestellen

Artikel: Computational and Transcriptome Analyses Revealed Preferential Induction of Chemotaxis and Lipid Synthesis by SARS-CoV-2.

Shaath, Hibah / Alajez, Nehad M

Biology

2020 Band 9, Heft 9

Abstract: The continuous and rapid emergence of new viral strains calls for a better understanding of the fundamental changes occurring within the host cell upon viral infection. In this study, we analyzed RNA-seq transcriptome data from Calu-3 human lung ... ...

Abstract	The continuous and rapid emergence of new viral strains calls for a better understanding of the fundamental changes occurring within the host cell upon viral infection. In this study, we analyzed RNA-seq transcriptome data from Calu-3 human lung epithelial cells infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) compared to five other viruses namely, severe acute respiratory syndrome coronavirus (SARS-CoV), Middle East Respiratory Syndrome (SARS-MERS), influenzavirus A (FLUA), influenzavirus B (FLUB), and rhinovirus (RHINO) compared to mock-infected cells and characterized their coding and noncoding RNA transcriptional portraits. The induction of interferon, inflammatory, and immune response was a hallmark of SARS-CoV-2 infection. Comprehensive bioinformatics revealed the activation of immune response and defense response to the virus as a common feature of viral infection. Interestingly however, the degree of functional categories and signaling pathways activation varied among different viruses. Ingenuity pathways analysis highlighted altered conical and casual pathways related to TNF, IL1A, and TLR7, which are seen more predominantly during SARS-CoV-2 infection. Nonetheless, the activation of chemotaxis and lipid synthesis was prominent in SARS-CoV-2-infected cells. Despite the commonality among all viruses, our data revealed the hyperactivation of chemotaxis and immune cell trafficking as well as the enhanced fatty acid synthesis as plausible mechanisms that could explain the inflammatory cytokine storms associated with severe cases of COVID-19 and the rapid spread of the virus, respectively.
Schlagwörter	covid19
Sprache	Englisch
Erscheinungsdatum	2020-09-01
Erscheinungsland	Switzerland
Dokumenttyp	Journal Article
ZDB-ID	2661517-4
ISSN	2079-7737
ISSN	2079-7737
DOI	10.3390/biology9090260
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

Zusatzmaterialien

Über subito bestellen

Details ▾
- Kostenpflichtig bestellen

Artikel ; Online: Computational and Transcriptome Analyses Revealed Preferential Induction of Chemotaxis and Lipid Synthesis by SARS-CoV-2

Hibah Shaath / Nehad M. Alajez

Biology, Vol 9, Iss 260, p

2020 Band 260

Abstract	The continuous and rapid emergence of new viral strains calls for a better understanding of the fundamental changes occurring within the host cell upon viral infection. In this study, we analyzed RNA-seq transcriptome data from Calu-3 human lung epithelial cells infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) compared to five other viruses namely, severe acute respiratory syndrome coronavirus (SARS-CoV), Middle East Respiratory Syndrome (SARS-MERS), influenzavirus A (FLUA), influenzavirus B (FLUB), and rhinovirus (RHINO) compared to mock-infected cells and characterized their coding and noncoding RNA transcriptional portraits. The induction of interferon, inflammatory, and immune response was a hallmark of SARS-CoV-2 infection. Comprehensive bioinformatics revealed the activation of immune response and defense response to the virus as a common feature of viral infection. Interestingly however, the degree of functional categories and signaling pathways activation varied among different viruses. Ingenuity pathways analysis highlighted altered conical and casual pathways related to TNF, IL1A, and TLR7, which are seen more predominantly during SARS-CoV-2 infection. Nonetheless, the activation of chemotaxis and lipid synthesis was prominent in SARS-CoV-2-infected cells. Despite the commonality among all viruses, our data revealed the hyperactivation of chemotaxis and immune cell trafficking as well as the enhanced fatty acid synthesis as plausible mechanisms that could explain the inflammatory cytokine storms associated with severe cases of COVID-19 and the rapid spread of the virus, respectively.
Schlagwörter	COVID-19 ; SARS-CoV-2 ; SARS-CoV ; SARS-MERS ; influenza A ; influenza B ; Biology (General) ; QH301-705.5 ; covid19
Thema/Rubrik (Code)	570 ; 572
Sprache	Englisch
Erscheinungsdatum	2020-09-01T00:00:00Z
Verlag	MDPI AG
Dokumenttyp	Artikel ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

Volltext online

Volltext online

Zusatzmaterialien

Fernleihe an ZB MED

Sie können sich den gewünschten Titel als lokale Nutzerin oder lokaler Nutzer von ZB MED direkt an den Standort Köln schicken lassen.

Artikel: Computational and Transcriptome Analyses Revealed Preferential Induction of Chemotaxis and Lipid Synthesis by SARS-CoV-2

Shaath, Hibah / Alajez, Nehad M

Biology. 2020 Sept. 01, v. 9, no. 9

2020

Abstract	The continuous and rapid emergence of new viral strains calls for a better understanding of the fundamental changes occurring within the host cell upon viral infection. In this study, we analyzed RNA-seq transcriptome data from Calu-3 human lung epithelial cells infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) compared to five other viruses namely, severe acute respiratory syndrome coronavirus (SARS-CoV), Middle East Respiratory Syndrome (SARS-MERS), influenzavirus A (FLUA), influenzavirus B (FLUB), and rhinovirus (RHINO) compared to mock-infected cells and characterized their coding and noncoding RNA transcriptional portraits. The induction of interferon, inflammatory, and immune response was a hallmark of SARS-CoV-2 infection. Comprehensive bioinformatics revealed the activation of immune response and defense response to the virus as a common feature of viral infection. Interestingly however, the degree of functional categories and signaling pathways activation varied among different viruses. Ingenuity pathways analysis highlighted altered conical and casual pathways related to TNF, IL1A, and TLR7, which are seen more predominantly during SARS-CoV-2 infection. Nonetheless, the activation of chemotaxis and lipid synthesis was prominent in SARS-CoV-2-infected cells. Despite the commonality among all viruses, our data revealed the hyperactivation of chemotaxis and immune cell trafficking as well as the enhanced fatty acid synthesis as plausible mechanisms that could explain the inflammatory cytokine storms associated with severe cases of COVID-19 and the rapid spread of the virus, respectively.
Schlagwörter	Alphainfluenzavirus ; Betainfluenzavirus ; Coronavirus infections ; Enterovirus ; Severe acute respiratory syndrome coronavirus ; bioinformatics ; chemotaxis ; cytokines ; epithelial cells ; fatty acids ; humans ; immune response ; infection ; interferons ; lungs ; non-coding RNA ; sequence analysis ; signal transduction ; strains ; synthesis ; transcription (genetics) ; transcriptome ; viruses
Sprache	Englisch
Erscheinungsverlauf	2020-0901
Erscheinungsort	Multidisciplinary Digital Publishing Institute
Dokumenttyp	Artikel
Anmerkung	NAL-light
ZDB-ID	2661517-4
ISSN	2079-7737
ISSN	2079-7737
DOI	10.3390/biology9090260
Datenquelle	NAL Katalog (AGRICOLA)

Zusatzmaterialien

Über subito bestellen

Details ▾
- Kostenpflichtig bestellen

Artikel: Molecular Classification of Breast Cancer Utilizing Long Non-Coding RNA (lncRNA) Transcriptomes Identifies Novel Diagnostic lncRNA Panel for Triple-Negative Breast Cancer.

Shaath, Hibah / Elango, Ramesh / Alajez, Nehad M

Cancers

2021 Band 13, Heft 21

Abstract: Breast cancer remains the world's most prevalent cancer, responsible for around 685,000 deaths globally despite international research efforts and advances in clinical management. While estrogen receptor positive (ER+), progesterone receptor positive (PR+ ...

Abstract	Breast cancer remains the world's most prevalent cancer, responsible for around 685,000 deaths globally despite international research efforts and advances in clinical management. While estrogen receptor positive (ER+), progesterone receptor positive (PR+), and human epidermal growth factor receptor positive (HER2+) subtypes are easily classified and can be targeted, there remains no direct diagnostic test for triple-negative breast cancer (TNBC), except for the lack of receptors expression. The identification of long non-coding RNAs (lncRNAs) and the roles they play in cancer progression has recently proven to be beneficial. In the current study, we utilize RNA sequencing data to identify lncRNA-based biomarkers associated with TNBC, ER+ subtypes, and normal breast tissue. The Marker Finder algorithm identified the lncRNA transcript panel most associated with each molecular subtype and the receiver operating characteristic (ROC) analysis was used to validate the diagnostic potential (area under the curve (AUC) of ≥8.0 and
Sprache	Englisch
Erscheinungsdatum	2021-10-26
Erscheinungsland	Switzerland
Dokumenttyp	Journal Article
ZDB-ID	2527080-1
ISSN	2072-6694
ISSN	2072-6694
DOI	10.3390/cancers13215350
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

Zusatzmaterialien

Über subito bestellen

Details ▾
- Kostenpflichtig bestellen

Artikel ; Online: Therapeutic targeting of the TPX2/TTK network in colorectal cancer.

Shaath, Hibah / Vishnubalaji, Radhakrishnan / Elango, Ramesh / Velayutham, Dinesh / Jithesh, Puthen Veettil / Alajez, Nehad M

Cell communication and signaling : CCS

2023 Band 21, Heft 1, Seite(n) 265

Abstract: Background: While the increased screening, changes in lifestyle, and recent advances in treatment regimen have decreased colorectal cancer (CRC) mortality, metastatic disease and recurrence remains a major clinical challenge. In the era of precision ... ...

Abstract	Background: While the increased screening, changes in lifestyle, and recent advances in treatment regimen have decreased colorectal cancer (CRC) mortality, metastatic disease and recurrence remains a major clinical challenge. In the era of precision medicine, the identification of actionable novel therapeutic targets could ultimately offer an alternative treatment strategy for CRC. Methods: RNA-Seq was conducted using the illumina platform, while bioinformatics analyses were conducted using CLC genomics workbench and iDEP.951. Colony forming unit, flow cytometry, and fluorescent microscopy were used to assess cell proliferation, cell cycle distribution, and cell death, respectively. The growth potential of CRC cells under 3-dimensional (3D) conditions was assessed using Matrigel. STRING database (v11.5) and Ingenuity Pathway Analysis (IPA) tool were used for network and pathway analyses. CRISPR-Cas9 perturbational effects database was used to identify potential therapeutic targets for CRC, through integration with gene-drug interaction database. Structural modeling and molecular docking were used to assess the interaction between candidate drugs and their targets. Results: In the current study, we investigated the therapeutic potential of targeting TPX2, TTK, DDX39A, and LRP8, commonly upregulated genes in CRC identified through differential expression analysis in CRC and adjacent non-cancerous tissue. Targeted depletion of TPX2 and TTK impaired CRC proliferation, cell cycle progression, and organoid formation under 3D culture conditions, while suppression of DDX39A and LRP8 had modest effects on CRC colony formation. Differential expression analysis and bioinformatics on TPX2 and TTK-deficient cells identified cell cycle regulation as the hallmark associated with loss of TPX2 and TTK. Elevated expression of TPX2 and TTK correlated with an oncogenic state in tumor tissue from patients with colon adenocarcinoma, thus corroborating an oncogenic role for the TPX2/TTK network in the pathogenesis of CRC. Gene set enrichment and pathway analysis of TPX2 Conclusions: Our data has implicated an essential role for TPX2 and TTK in CRC pathogenesis and identified numerous potential therapeutic targets and their drug interactions, suggesting their potential clinical use as a novel therapeutic strategy for patients with CRC. Video Abstract.
Mesh-Begriff(e)	Humans ; Colonic Neoplasms/genetics ; Colorectal Neoplasms/drug therapy ; Colorectal Neoplasms/genetics ; Colorectal Neoplasms/metabolism ; Adenocarcinoma/pathology ; Molecular Docking Simulation ; Cell Proliferation ; Gene Expression Regulation, Neoplastic ; Microtubule-Associated Proteins/genetics ; Microtubule-Associated Proteins/metabolism ; Cell Cycle Proteins/genetics ; Cell Cycle Proteins/metabolism ; Protein-Tyrosine Kinases/metabolism ; Protein Serine-Threonine Kinases/metabolism
Chemische Substanzen	TPX2 protein, human ; Microtubule-Associated Proteins ; Cell Cycle Proteins ; TTK protein, human (EC 2.7.12.1) ; Protein-Tyrosine Kinases (EC 2.7.10.1) ; Protein Serine-Threonine Kinases (EC 2.7.11.1)
Sprache	Englisch
Erscheinungsdatum	2023-09-28
Erscheinungsland	England
Dokumenttyp	Video-Audio Media ; Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2126315-2
ISSN	1478-811X ; 1478-811X
ISSN (online)	1478-811X
ISSN	1478-811X
DOI	10.1186/s12964-023-01290-2
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

Zusatzmaterialien

Über subito bestellen

Details ▾
- Kostenpflichtig bestellen

Artikel ; Online: Therapeutic targeting of the TPX2/TTK network in colorectal cancer

Hibah Shaath / Radhakrishnan Vishnubalaji / Ramesh Elango / Dinesh Velayutham / Puthen Veettil Jithesh / Nehad M. Alajez

Cell Communication and Signaling, Vol 21, Iss 1, Pp 1-

2023 Band 17

Abstract: Abstract Background While the increased screening, changes in lifestyle, and recent advances in treatment regimen have decreased colorectal cancer (CRC) mortality, metastatic disease and recurrence remains a major clinical challenge. In the era of ... ...

Abstract	Abstract Background While the increased screening, changes in lifestyle, and recent advances in treatment regimen have decreased colorectal cancer (CRC) mortality, metastatic disease and recurrence remains a major clinical challenge. In the era of precision medicine, the identification of actionable novel therapeutic targets could ultimately offer an alternative treatment strategy for CRC. Methods RNA-Seq was conducted using the illumina platform, while bioinformatics analyses were conducted using CLC genomics workbench and iDEP.951. Colony forming unit, flow cytometry, and fluorescent microscopy were used to assess cell proliferation, cell cycle distribution, and cell death, respectively. The growth potential of CRC cells under 3-dimensional (3D) conditions was assessed using Matrigel. STRING database (v11.5) and Ingenuity Pathway Analysis (IPA) tool were used for network and pathway analyses. CRISPR-Cas9 perturbational effects database was used to identify potential therapeutic targets for CRC, through integration with gene-drug interaction database. Structural modeling and molecular docking were used to assess the interaction between candidate drugs and their targets. Results In the current study, we investigated the therapeutic potential of targeting TPX2, TTK, DDX39A, and LRP8, commonly upregulated genes in CRC identified through differential expression analysis in CRC and adjacent non-cancerous tissue. Targeted depletion of TPX2 and TTK impaired CRC proliferation, cell cycle progression, and organoid formation under 3D culture conditions, while suppression of DDX39A and LRP8 had modest effects on CRC colony formation. Differential expression analysis and bioinformatics on TPX2 and TTK-deficient cells identified cell cycle regulation as the hallmark associated with loss of TPX2 and TTK. Elevated expression of TPX2 and TTK correlated with an oncogenic state in tumor tissue from patients with colon adenocarcinoma, thus corroborating an oncogenic role for the TPX2/TTK network in the pathogenesis of CRC. Gene ...
Schlagwörter	Colorectal cancer ; Precision medicine ; TPX2 ; TTK ; DDX39A ; LRP8 ; Medicine ; R ; Cytology ; QH573-671
Thema/Rubrik (Code)	610
Sprache	Englisch
Erscheinungsdatum	2023-09-01T00:00:00Z
Verlag	BMC
Dokumenttyp	Artikel ; Online
Datenquelle	BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

Volltext online

Volltext online

Zusatzmaterialien

Fernleihe an ZB MED

Sie können sich den gewünschten Titel als lokale Nutzerin oder lokaler Nutzer von ZB MED direkt an den Standort Köln schicken lassen.

Artikel: Molecular subtyping and functional validation of TTK, TPX2, UBE2C, and LRP8 in sensitivity of TNBC to paclitaxel.

Elango, Ramesh / Vishnubalaji, Radhakrishnan / Shaath, Hibah / Alajez, Nehad M

Molecular therapy. Methods & clinical development

2021 Band 20, Seite(n) 601–614

Abstract: Triple-negative breast cancer (TNBC) patients exhibit variable responses to chemotherapy, suggesting an underlying molecular heterogeneity. In the current study, we analyzed publicly available transcriptome data from 360 TNBC and 88 normal breast tissues, ...

Abstract	Triple-negative breast cancer (TNBC) patients exhibit variable responses to chemotherapy, suggesting an underlying molecular heterogeneity. In the current study, we analyzed publicly available transcriptome data from 360 TNBC and 88 normal breast tissues, which revealed activation of nucleosome and cell cycle as the hallmarks of TNBC. Mechanistic network analysis identified activation of FOXM1 and ERBB2, and suppression of TP53 and NURP1 networks in TNBC. Employing Iterative Clustering and Guide-gene Selection (ICGS), Uniform Manifold Approximation and Projection (UMAP), and dimensionality reduction analyses, we classified TNBC into seven molecular subtypes, each exhibiting a unique molecular signature, including immune infiltration (CD19, CD8, and macrophages) and mesenchymal signature, which correlated with variable disease outcomes in a larger cohort (1,070) of BC. Mechanistically, depletion of
Sprache	Englisch
Erscheinungsdatum	2021-01-26
Erscheinungsland	United States
Dokumenttyp	Journal Article
ZDB-ID	2872938-9
ISSN	2329-0501 ; 2329-0501
ISSN (online)	2329-0501
ISSN	2329-0501
DOI	10.1016/j.omtm.2021.01.013
Datenquelle	MEDical Literature Analysis and Retrieval System OnLINE

Zusatzmaterialien

Verfügbar in ZB MED Köln/Königswinter

Zs.A 7107: Hefte anzeigen

Standort:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

Über subito bestellen

Details ▾
- Im ZB MED-Bestand
- Kostenpflichtig bestellen

Zum Seitenanfang

Zusatzmaterialien

Kategorien

Über subito bestellen

Volltext online

Zusatzmaterialien

Kategorien

Fernleihe an ZB MED

Zusatzmaterialien

Kategorien

Über subito bestellen

Zusatzmaterialien

Kategorien

Über subito bestellen

Volltext online

Zusatzmaterialien

Kategorien

Fernleihe an ZB MED

Zusatzmaterialien

Kategorien

Über subito bestellen

Zusatzmaterialien

Kategorien

Über subito bestellen

Zusatzmaterialien

Kategorien

Über subito bestellen

Volltext online

Zusatzmaterialien

Kategorien

Fernleihe an ZB MED

Zusatzmaterialien

Kategorien

Verfügbar in ZB MED Köln/Königswinter

Über subito bestellen