Bianca P. Hennig

Bianca P. Hennig

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Bianca P. Hennig

Center for Digital Health, Berlin Institute of Health (BIH) and Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 June 2020 in Nature Biotechnology
Verified
Journal Article
Open access
PDF file
RCRobert Lorenz Chua
Robert Lorenz Chua
SLSören Lukassen
Sören Lukassen
STSaskia Trump
Saskia Trump
BHBianca P. Hennig
Bianca P. Hennig
DWDaniel Wendisch
Daniel Wendisch
RERoland Eils
Roland Eils
To investigate the immune response and mechanisms associated with severe coronavirus disease 2019 (COVID-19), we performed single-cell RNA sequencing on nasopharyngeal and bronchial samples from 19 clinically well-characterized patients with moderate or critical disease and from five healthy controls. We identified airway epithelial cell types and states vulnerable to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. In patients with COVID-19, epithelial cells showed an average three-fold increase in expression of the SARS-CoV-2 entry receptor ACE2, which correlated with interferon signals by immune cells. Compared to moderate cases, critical cases exhibited stronger interactions between epithelial and immune cells, as indicated by ligand–receptor expression profiles, and activated immune cells, including inflammatory macrophages expressing CCL2, CCL3, CCL20, CXCL1, CXCL3, CXCL10, IL8, IL1B and TNF. The transcriptional differences in critical cases compared to moderate cases likely contribute to clinical observations of heightened inflammatory tissue damage, lung injury and respiratory failure. Our data suggest that pharmacologic inhibition of the CCR1 and/or CCR5 pathways might suppress immune hyperactivation in critical COVID-19.

20 March 2017 in Nature Cell Biology
Verified
Journal Article
Open access
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LVLars Velten
Lars Velten
SHSimon F. Haas
Simon F. Haas
SRSimon Raffel
Simon Raffel
SBSandra Blaszkiewicz
Sandra Blaszkiewicz
SISaiful Islam
Saiful Islam
LSLars M. Steinmetz
Lars M. Steinmetz
Blood formation is believed to occur through stepwise progression of haematopoietic stem cells (HSCs) following a tree-like hierarchy of oligo-, bi- and unipotent progenitors. However, this model is based on the analysis of predefined flow-sorted cell populations. Here we integrated flow cytometric, transcriptomic and functional data at single-cell resolution to quantitatively map early differentiation of human HSCs towards lineage commitment. During homeostasis, individual HSCs gradually acquire lineage biases along multiple directions without passing through discrete hierarchically organized progenitor populations. Instead, unilineage-restricted cells emerge directly from a ‘continuum of low-primed undifferentiated haematopoietic stem and progenitor cells’ (CLOUD-HSPCs). Distinct gene expression modules operate in a combinatorial manner to control stemness, early lineage priming and the subsequent progression into all major branches of haematopoiesis. These data reveal a continuous landscape of human steady-state haematopoiesis downstream of HSCs and provide a basis for the understanding of haematopoietic malignancies.

14 April 2020 in The EMBO Journal
Verified
Journal Article
Open access
PDF file
SLSören Lukassen
Sören Lukassen
RCRobert Lorenz Chua
Robert Lorenz Chua
TTTimo Trefzer
Timo Trefzer
NKNicolas C Kahn
Nicolas C Kahn
MSMarc A Schneider
Marc A Schneider
RERoland Eils
Roland Eils
The SARS‐CoV‐2 pandemic affecting the human respiratory system severely challenges public health and urgently demands for increasing our understanding of COVID‐19 pathogenesis, especially host factors facilitating virus infection and replication. SARS‐CoV‐2 was reported to enter cells via binding to ACE2, followed by its priming by TMPRSS2. Here, we investigate ACE2 and TMPRSS2 expression levels and their distribution across cell types in lung tissue (twelve donors, 39,778 cells) and in cells derived from subsegmental bronchial branches (four donors, 17,521 cells) by single nuclei and single cell RNA sequencing, respectively. While TMPRSS2 is strongly expressed in both tissues, in the subsegmental bronchial branches ACE2 is predominantly expressed in a transient secretory cell type. Interestingly, these transiently differentiating cells show an enrichment for pathways related to RHO GTPase function and viral processes suggesting increased vulnerability for SARS‐CoV‐2 infection. Our data provide a rich resource for future investigations of COVID‐19 infection and pathogenesis.

1 January 2018 in G3: Genes, Genomes, Genetics
Verified
Journal Article
Open access
PDF file
BHBianca P Hennig
Bianca P Hennig
LVLars Velten
Lars Velten
IRInes Racke
Ines Racke
CTChelsea Szu Tu
Chelsea Szu Tu
MTMatthias Thoms
Matthias Thoms
LSLars M Steinmetz
Lars M Steinmetz
Efficient preparation of high-quality sequencing libraries that well represent the biological sample is a key step for using next-generation sequencing in research. Tn5 enables fast, robust, and highly efficient processing of limited input material while scaling to the parallel processing of hundreds of samples. Here, we present a robust Tn5 transposase purification strategy based on an N-terminal His6-Sumo3 tag. We demonstrate that libraries prepared with our in-house Tn5 are of the same quality as those processed with a commercially available kit (Nextera XT), while they dramatically reduce the cost of large-scale experiments. We introduce improved purification strategies for two versions of the Tn5 enzyme. The first version carries the previously reported point mutations E54K and L372P, and stably produces libraries of constant fragment size distribution, even if the Tn5-to-input molecule ratio varies. The second Tn5 construct carries an additional point mutation (R27S) in the DNA-binding domain. This construct allows for adjustment of the fragment size distribution based on enzyme concentration during tagmentation, a feature that opens new opportunities for use of Tn5 in customized experimental designs. We demonstrate the versatility of our Tn5 enzymes in different experimental settings, including a novel single-cell polyadenylation site mapping protocol as well as ultralow input DNA sequencing.

24 December 2020 in Nature Biotechnology
Verified
Journal Article
Closed access
PDF file
STSaskia Trump
Saskia Trump
SLSören Lukassen
Sören Lukassen
MAMarkus S. Anker
Markus S. Anker
RCRobert Lorenz Chua
Robert Lorenz Chua
JLJohannes Liebig
Johannes Liebig
ILIrina Lehmann
Irina Lehmann

1 March 2010 in The American Journal of Human Genetics
Verified
Journal Article
Closed access
EKEva Klopocki
Eva Klopocki
BHBianca P. Hennig
Bianca P. Hennig
KDKatarina Dathe
Katarina Dathe
RKRandi Koll
Randi Koll
TRThomy de Ravel
Thomy de Ravel
SMStefan Mundlos
Stefan Mundlos