Single-cell landscape of immunological responses in patients with COVID-19

Zhang, Ji Yuan; Wang, Xiang Ming; Xing, Xudong; Xu, Zhe; Zhang, Chao; Song, Jin‐Wen; Fan, Xing; Xia, Peng; Fu, Jun; Wang, Si Yu; Xu, Ruo Nan; Dai, Xiao; Shi, Lei; Huang, Lei; Jiang, Tian; Shi, Ming; Zhang, Yuxia; Zumla, Alimuddin; Maeurer, Markus; Bai, Fan; Wang, Fu Sheng

doi:10.1038/s41590-020-0762-x

Cited by 520 publications

(434 citation statements)

References 47 publications

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“…Indeed, several recent studies reported initial results from profiling B cell receptor (BCR) and TCR repertoires in COVID-19 patients (27,45,67,68). Consistent with the data from other virus infections, they report convergent B cell clonotypic responses closely associated with SARS-CoV-2 AB.…”

Section: A Need For Decoding Reactivities Phenotypes and Recognizedsupporting

confidence: 58%

“…The importance of T cells is further illustrated by the T cell lymphopenia and exhaustion or dysfunction in both SARS and COVID-19 which increase with disease severity (5,16,(22)(23)(24)(25)(26)(27)(28). T cells clonally expand in COVID-19, and convalescence is associated with T cell recovery and memory formation.…”

Section: The Case For T Cellsmentioning

confidence: 99%

“…Somatic hypermutation analyses suggest a primary immune response involving naive B cells. Higher somatic hypermutation is associated with more severe disease, which also showed skewed BCR gene usage (27). Moreover, SARS-CoV-2 T cell responses were highly clonal in active disease and driven by TCR clusters shared between patients particularly after recovery, which showed characteristic clonotype trajectories over the disease course.…”

Section: A Need For Decoding Reactivities Phenotypes and Recognizedmentioning

confidence: 99%

“…Moreover, SARS-CoV-2 T cell responses were highly clonal in active disease and driven by TCR clusters shared between patients particularly after recovery, which showed characteristic clonotype trajectories over the disease course. Reduced T cell clonal expansion and skewed TCR gene usage in severe disease could indicate that different immunodominant antigen epitopes drive distinct T cell clonotypes and fates in mild vs. severe COVID-19 (27). A vaccine therefore may need to exclude B cell and T cell epitopes driving severe disease.…”

Section: A Need For Decoding Reactivities Phenotypes and Recognizedmentioning

confidence: 99%

See 3 more Smart Citations

An Effective COVID-19 Vaccine Needs to Engage T Cells

Sauer¹,

Harris²

2020

Front. Immunol.

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Section: A Need For Decoding Reactivities Phenotypes and Recognizedsupporting

confidence: 58%

Section: The Case For T Cellsmentioning

confidence: 99%

Section: A Need For Decoding Reactivities Phenotypes and Recognizedmentioning

confidence: 99%

Section: A Need For Decoding Reactivities Phenotypes and Recognizedmentioning

confidence: 99%

See 2 more Smart Citations

An Effective COVID-19 Vaccine Needs to Engage T Cells

Sauer¹,

Harris²

2020

Front. Immunol.

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“…The adaptive immune response may kick in before the target cells are depleted, slowing the infection and interfering with the innate immune response's ability to kill off most of the virus quickly [36][37][38] . Zhang et al reported that patients with COVID-19 showed a strong interferon-α response and an overall acute inflammatory response 39 . They demonstrated that severe patients showed an altered interferon response, profound immune exhaustion with a skewed T cell receptor repertoire and broad T cell expansion 39,40 .…”

Section: Characteristicsmentioning

confidence: 99%

Dynamic profiles of SARS-Cov-2 infection from five Chinese family clusters in the early stage of the COVID-19 pandemic

Kong

Geng

Zhang

et al. 2020

Sci Rep

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Although several cases of family clusters with SARS-Cov-2 infection have been reported, there are still limited data preventing conclusions from being drawn regarding the characteristics and laboratory findings in the COVID-19 population within family clusters. In the present study, we retrospectively collected five family clusters with COVID-19 and summarized the dynamic profiles of the clinical characteristics, laboratory findings, immune markers, treatment and prognosis of this population. Furthermore, we also compared clinical and laboratory data between the SARS-Cov-2 infection with family cluster (n = 21) and those without family cluster (n = 16). We demonstrated that the duration of SARS-Cov-2 replication might be varied based on the different family clusters due to their different genetic backgrounds. The onset improved lung radiology might start at the end of the SARS-Cov-2 positive period. Furthermore, the obtained results demonstrated that similar basic characteristics and clinical findings seem to exist between the cases with SARS-Cov-2 and without family clusters. The serum level of ferritin might have a different biological function and be a new biomarker for the family cluster. Further studies with larger numbers of patients are required.

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Multiplexing Methods for Simultaneous Large‐Scale Transcriptomic Profiling of Samples at Single‐Cell Resolution

et al. 2021

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Barcoding technology has greatly improved the throughput of cells and genes detected in single-cell RNA sequencing (scRNA-seq) studies. Recently, increasing studies have paid more attention to the use of this technology to increase the throughput of samples, as it has greatly reduced the processing time, technical batch effects, and library preparation costs, and lowered the per-sample cost. In this review, the various DNA-based barcoding methods for sample multiplexing are focused on, specifically, on the four major barcoding strategies. A detailed comparison of the barcoding methods is also presented, focusing on aspects such as sample/cell throughput and gene detection, and guidelines for choosing the most appropriate barcoding technique according to the personalized requirements are developed. Finally, the critical applications of sample multiplexing and technical challenges in combinatorial labeling, barcoding in vivo, and multimodal tagging at the spatially resolved resolution, as well as, the future prospects of multiplexed scRNA-seq, for example, prioritizing and predicting the severity of coronavirus disease 2019 (COVID-19) in patients of different gender and age are highlighted.

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Single-cell landscape of immunological responses in patients with COVID-19

Cited by 520 publications

References 47 publications

An Effective COVID-19 Vaccine Needs to Engage T Cells

An Effective COVID-19 Vaccine Needs to Engage T Cells

Dynamic profiles of SARS-Cov-2 infection from five Chinese family clusters in the early stage of the COVID-19 pandemic

Multiplexing Methods for Simultaneous Large‐Scale Transcriptomic Profiling of Samples at Single‐Cell Resolution

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