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TranscriptomicsSpecies- and condition-specific adaptation of the transcriptional landscapes in Candida albicans and Candida dubliniensis
Although Candida albicans and Candida dubliniensis are most closely related, both species significantly behave differently with respect to morphogenesis and virulence. In order to gain further insight into the divergent routes for morphogenetic adaptation in both species, we investigated qualitative...
ORGANISM(S): Candida albicans 
2013-04-17 | E-GEOD-41749 | biostudies-arrayexpress
UnknownProspective comparison of static versus dynamic images in abdominal ultrasound education - a randomised controlled trial
Not available
S-EPMC12285136 | biostudies-literature
ProteomicsComparison of Proteomic Responses
To facilitate antibiotic research, we have developed a compendium of proteomic responses that allows rapid classification of compounds into those with precedented and unprecedented modes of action. We gathered more than 100 proteomic response profiles of B. subtilis to treatment with antibiotics. To...
ORGANISM(S): Bacillus subtilis subsp. subtilis str. 168 
2020-10-01 | PXD011640 | Pride
Bacillus subtilis Marker proteins Antibiotics 
Genomicsena-DATASET-DKFZ-03-08-2020-18:14:14:560-2122 - samples
To investigate the immune response and mechanisms associated with severe COVID-19, we performed single-cell RNA-seq on nasopharyngeal and bronchial samples from 19 clinically well-characterized patients with moderate or critical disease and from 5 healthy controls. We identified airway epithelial ce...
EGAD00001006339 | EGA
2019 novel coronavirus infection 2019-nCoV infection coronavirus disease 2019 COVID-19 SARS-coronavirus 2 SARS-CoV-2 severe acute respiratory syndrome coronavirus 2 
GenomicsSingle-cell analysis of airway samples identifies immune cell activation correlating with COVID-19 disease severity
To investigate the immune response and mechanisms associated with severe COVID-19, we performed single-cell RNA-seq on nasopharyngeal and bronchial samples from 19 clinically well-characterized patients with moderate or critical disease and from 5 healthy controls. We identified airway epithelial ce...
EGAS00001004481 | EGA
2019 novel coronavirus infection 2019-nCoV infection coronavirus disease 2019 COVID-19 SARS-coronavirus 2 SARS-CoV-2 severe acute respiratory syndrome coronavirus 2 
GenomicsBIH COVID-19 airway single-cell data access committee.
Data Access Committee EGAC00001001627
EGAC00001001627 | EGA
Genomicsena-DATASET-DKFZ-24-12-2020-10:12:59:494-197 - samples
In Coronavirus Disease 2019 (COVID-19), hypertension and cardiovascular diseases are major risk factors for critical disease progression. However, the underlying reasons and the effect of the main anti-hypertensive therapies—angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin recep...
EGAD00001006828 | EGA
2019 novel coronavirus infection 2019-nCoV infection coronavirus disease 2019 COVID-19 SARS-coronavirus 2 SARS-CoV-2 severe acute respiratory syndrome coronavirus 2 
GenomicsHypertension delays viral clearance and exacerbates airway hyperinflammation in patients with COVID-19
In coronavirus disease 2019 (COVID-19), hypertension and cardiovascular diseases are major risk factors for critical disease progression. However, the underlying causes and the effects of the main anti-hypertensive therapies-angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin receptor b...
EGAS00001004772 | EGA
2019 novel coronavirus infection 2019-nCoV infection coronavirus disease 2019 COVID-19 SARS-coronavirus 2 SARS-CoV-2 severe acute respiratory syndrome coronavirus 2 
Genomicsena-DATASET-DKFZ-IBIOS-28-08-2015-09:49:06:632-229 - samples
RNA-sequencing data from teh hT-RPE-MycER cell line after MYC activation and after MINCR knock-down in conditions of MYC ON or OFF
EGAD00001001598 | EGA
Genomicsena-DATASET-DKFZ-IBIOS-16-07-2015-15:45:02:488-51 - samples
Despite the established role of the transcription factor MYC in cancer, little is known about the impact of a new class of transcriptional regulators, the long non-coding RNAs (lncRNAs), on the way MYC is able to influence cellular transcriptome. To this aim we have intersected RNA-sequencing data f...
EGAD00001001441 | EGA
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