Biologic correlates of COVID-19 resolution using single cell RNA sequecing
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA827153 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR18771434_1.fastq.gz | Fastqsanger.gz | |||
| SRR18771434_2.fastq.gz | Fastqsanger.gz | |||
| SRR18771435_1.fastq.gz | Fastqsanger.gz | |||
| SRR18771435_2.fastq.gz | Fastqsanger.gz | |||
| SRR18771436_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 10 |
Similar Datasets
Project description:We report a case of full resolution of severe COVID-19 due to convalescent plasma transfusion. Following transfusion, the patient showed fever remission, improved respiratory status, and rapidly decreased viral burden in respiratory fluids and SARS-CoV-2 RNAemia. Longitudinal single-cell transcriptomics of peripheral blood cells conducted prior to and at multiple times after convalescent plasma transfusion identified the key biological processes associated with the transition from severe disease to disease-free state. This included post-transfusion disappearance of a subset of monocytes characterized by hyperactivated Interferon responses and decreased TNF-α signaling.
2022-04-18 | GSE200896 | GEO
Project description:While the biomarkers of COVID-19 severity have been thoroughly investigated, the key biological dynamics associated with COVID-19 resolution are still insufficiently understood. We report a case of full resolution of severe COVID-19 due to convalescent plasma transfusion. Following transfusion, the patient showed fever remission, improved respiratory status, and rapidly decreased viral burden in respiratory fluids and SARS-CoV-2 RNAemia. Longitudinal unbiased proteomic analysis of plasma and single-cell transcriptomics of peripheral blood cells conducted prior to and at multiple times after convalescent plasma transfusion identified the key biological processes associated with the transition from severe disease to disease-free state. These included (i) temporally ordered upward and downward changes in plasma proteins reestablishing homeostasis and (ii) post-transfusion disappearance of a subset of monocytes characterized by hyperactivated Interferon responses and decreased TNF-α signaling. Monitoring specific dysfunctional myeloid cell subsets in peripheral blood may provide prognostic keys in COVID-19.
| S-EPMC9240225 | biostudies-literature
Project description:Manuscript describes the daily dynamics of transcriptional responses in whole blood, from acute to convalescent phase, in severe and non-severe COVID-19 patients.
2020-12-31 | E-MTAB-9721 | biostudies-arrayexpress
Project description:Post-acute sequelae of COVID-19 (PASC) represent an emerging global crisis. However, quantifiable risk-factors for PASC and their biological associations are poorly resolved. We executed a deep multi-omic, longitudinal investigation of 309 COVID-19 patients from initial diagnosis to convalescence (2-3 months later), integrated with clinical data, and patient-reported symptoms. We resolved four PASC-anticipating risk factors at the time of initial COVID-19 diagnosis: type 2 diabetes, SARS-CoV-2 RNAemia, Epstein-Barr virus viremia, and specific autoantibodies. In patients with gastrointestinal PASC, SARS-CoV-2-specific and CMV-specific CD8+ T cells exhibited unique dynamics during recovery from COVID-19. Analysis of symptom-associated immunological signatures revealed coordinated immunity polarization into four endotypes exhibiting divergent acute severity and PASC. We find that immunological associations between PASC factors diminish over time leading to distinct convalescent immune states. Detectability of most PASC factors at COVID-19 diagnosis emphasizes the importance of early disease measurements for understanding emergent chronic conditions and suggests PASC treatment strategies.
2022-02-01 | E-MTAB-10129 | biostudies-arrayexpress
Project description:Immunosuppression caused by cancer itself and cytotoxic treatment may pose a challenge to coronavirus disease 2019 (COVID-19) patients with hematological malignancies. Here, we use multidimensional flow cytometry (MFC) to analyze immune profiles in peripheral blood samples of 515 COVID-19 patients at presentation. In 14 cases, deep immunophenotyping of B- and T-cells was performed and six myeloid- and dendritic-cell subsets were FACSorted for transcriptome analysis using RNAseq. Of the 515 patients, 15 and 10 had solid and hematological tumors, respectively. Those with hematological cancer showed significantly higher rates of intensive care (50%) and death (30%) from COVID-19 vs cases with solid cancer and no tumor. Patients with hematological malignancies displayed altered immune profiles with significantly decreased absolute numbers of several subsets of myeloid and lymphoid cells. Myeloid- and dendritic-cell types from hematological cases showed differentially expression of genes coding transcription factors, toll-like receptors and proinflammatory interleukin receptors implicated in response to coronaviruses. The relative distribution of the B-cell compartment was notoriously altered in COVID-19 patients with hematological cancer, and progressively lower numbers of B- and T-cell subsets were observed in deceased cases. Altogether, our results suggest an association between impaired immune responses and poorer outcomes in COVID-19 patients with hematological malignancies.
2020-12-31 | GSE153610 | GEO
Project description:Immunologic characterization of COVID-19 patients with hematologic cancer: biologic and clinical significance
| PRJNA643420 | ENA
Project description:Single-cell RNA-sequencing reveals a shift from focused IFN alpha-driven signals in COVID-19 ICU patients who survive to broad pro-inflammatory responses in fatal COVID-19 – a feature not observed in severe influenza. We conclude that fatal COVID-19 infection is driven by uncoordinated inflammatory responses that drive a hierarchy of T cell activation, elements of which can serve as prognostic indicators and potential targets for immune intervention.
2021-06-18 | GSE178404 | GEO
Project description:The causative organism, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), exhibits a wide spectrum of clinical manifestations in disease-ridden patients. Differences in the severity of COVID-19 ranges from asymptomatic infections and mild cases to the severe form, leading to acute respiratory distress syndrome (ARDS) and multiorgan failure with poor survival. MiRNAs can regulate various cellular processes, including proliferation, apoptosis, and differentiation, by binding to the 3′UTR of target mRNAs inducing their degradation, thus serving a fundamental role in post-transcriptional repression. Alterations of miRNA levels in the blood have been described in multiple inflammatory and infectious diseases, including SARS-related coronaviruses. We used microarrays to delineate the miRNAs and snoRNAs signature in the peripheral blood of severe COVID-19 cases (n=9), as compared to mild (n=10) and asymptomatic (n=10) patients, and identified differentially expressed transcripts in severe versus asymptomatic, and others in severe versus mild COVID-19 cases. A cohort of 29 male age-matched patients were selected. All patients were previously diagnosed with COVID-19 using TaqPath COVID-19 Combo Kit (Thermo Fisher Scientific, Waltham, Massachusetts), or Cobas SARS-CoV-2 Test (Roche Diagnostics, Rotkreuz, Switzerland), with a CT value < 30. Additional criterion for selection was age between 35 and 75 years. Participants were grouped into severe, mild and asymptomatic. Classifying severe cases was based on requirement of high-flow oxygen support and ICU admission (n=9). Whereas mild patients were identified based on symptoms and positive radiographic findings with pulmonary involvement (n=10). Patients with no clinical presentation were labelled as asymptomatic cases (n=10).
2022-03-01 | E-MTAB-10970 | biostudies-arrayexpress
Project description:Sex differences have been observed in acute coronavirus disease 2019 (COVID-19) and Long Covid (LC) outcomes, with greater disease severity and mortality during acute infection in males and greater proportions of females developing LC. We hypothesized that sex-specific immune dysregulation contributes to LC pathogenesis. To investigate the immunologic underpinnings of LC development and symptom persistence, we performed multi-omic analyses on blood samples obtained during acute severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and 3 and 12 months post infection in a cohort of 45 patients who either developed LC or recovered. Several sex-specific immune pathways were associated with LC. Males who would later develop LC exhibited increases in transforming growth factor (TGF)-β signaling during acute infection, whereas females who would go on to develop LC had reduced TGFB1 expression. Females who developed LC demonstrated increased expression of XIST, an RNA gene implicated in autoimmunity, during acute infection compared with females who recovered. Many immune features of LC were also conserved across sexes, such as alterations in monocyte phenotype and activation state. Nuclear factor (NF)-κB transcription factors were up-regulated in many cell types at acute and convalescent time points. Those with ongoing LC demonstrated reduced ETS1 expression across lymphocyte subsets and elevated intracellular IL-4 in T cell subsets, suggesting that ETS1 alterations may drive aberrantly elevated Th2-like responses in LC. Altogether, this study describes multiple innate and adaptive immune correlates of LC, some of which differ by sex, and offers insights toward the pursuit of tailored therapeutics.
2024-11-13 | GSE270479 | GEO
Project description:Although a substantial proportion of severe COVID-19 pneumonia survivors exhibit long-term pulmonary sequalae, the underlying mechanisms or associated local and systemic immune correlates are not known. Here, we have performed high dimensional characterization of the pathophysiological and immune traits of aged COVID-19 convalescents, and correlated the local and systemic immune profiles with pulmonary function and lung imaging. In this cohort of aged COVID-19 convalescents, chronic lung impairment was accompanied by persistent systemic inflammation and respiratory immune alterations. Detailed evaluation of the lung immune compartment revealed dysregulated respiratory CD8+ T cell responses that likely underlie the impaired lung function following acute COVID-19 during aging. Single cell transcriptomic analysis identified the potential pathogenic subsets of respiratory CD8+ T cells causing persistent tissue conditions following COVID-19. Our results have revealed key pathophysiological and immune traits that support the development of lung sequelae following SARS-CoV2 pneumonia during aging, with implications for the treatment of chronic COVID-19 symptoms.
2021-09-17 | GSE176201 | GEO