Sorting of Rare Cells

1992 ◽  
pp. 159-167 ◽  
Author(s):  
W. Weichel ◽  
S. Irlenbusch ◽  
K. Kato ◽  
A. Radbruch
Keyword(s):  
BMC Genomics ◽  
2020 ◽  
Vol 21 (S11) ◽  
Author(s):  
Adam Cornish ◽  
Shrabasti Roychoudhury ◽  
Krishna Sarma ◽  
Suravi Pramanik ◽  
Kishor Bhakat ◽  
...  

Abstract Background Single-cell sequencing enables us to better understand genetic diseases, such as cancer or autoimmune disorders, which are often affected by changes in rare cells. Currently, no existing software is aimed at identifying single nucleotide variations or micro (1-50 bp) insertions and deletions in single-cell RNA sequencing (scRNA-seq) data. Generating high-quality variant data is vital to the study of the aforementioned diseases, among others. Results In this study, we report the design and implementation of Red Panda, a novel method to accurately identify variants in scRNA-seq data. Variants were called on scRNA-seq data from human articular chondrocytes, mouse embryonic fibroblasts (MEFs), and simulated data stemming from the MEF alignments. Red Panda had the highest Positive Predictive Value at 45.0%, while other tools—FreeBayes, GATK HaplotypeCaller, GATK UnifiedGenotyper, Monovar, and Platypus—ranged from 5.8–41.53%. From the simulated data, Red Panda had the highest sensitivity at 72.44%. Conclusions We show that our method provides a novel and improved mechanism to identify variants in scRNA-seq as compared to currently existing software. However, methods for identification of genomic variants using scRNA-seq data can be still improved.


2012 ◽  
Vol 4 (141) ◽  
pp. 141ra92-141ra92 ◽  
Author(s):  
D. Issadore ◽  
J. Chung ◽  
H. Shao ◽  
M. Liong ◽  
A. A. Ghazani ◽  
...  
Keyword(s):  
Ex Vivo ◽  

Small ◽  
2021 ◽  
pp. 2101743
Author(s):  
Shiuan‐Haur Su ◽  
Yujing Song ◽  
Michael W. Newstead ◽  
Tao Cai ◽  
MengXi Wu ◽  
...  
Keyword(s):  

RSC Advances ◽  
2016 ◽  
Vol 6 (55) ◽  
pp. 50027-50033 ◽  
Author(s):  
S. Bakhtiaridoost ◽  
H. Habibiyan ◽  
S. Muhammadnejad ◽  
M. Haddadi ◽  
H. Ghafoorifard ◽  
...  

Wavelet transform and SVM applied to Raman spectra makes a powerful and accurate tool for identification of rare cells such as CTCs.


2021 ◽  
pp. 2102070
Author(s):  
Xiaofeng Chen ◽  
Hongming Ding ◽  
Dongdong Zhang ◽  
Kaifeng Zhao ◽  
Jiafeng Gao ◽  
...  

2021 ◽  
pp. 106689692110004
Author(s):  
Hongzhi Xu ◽  
Elizabeth M. Genega ◽  
Liyan Zhuang ◽  
Ming Zhou

Urothelial carcinoma usually shows divergent differentiation and variant histology with squamous and glandular morphology being most common. In this report, we present a case of divergent malignant melanocytic differentiation in a high-grade urothelial carcinoma. A 98-year-old East Asian woman with an anterior bladder wall mass underwent resection, which revealed a high-grade poorly differentiated tumor. A minor component of high-grade papillary urothelial carcinoma and carcinoma in situ is also present. The majority of the tumor cells are morphologically and immunohistochemically consistent with melanoma, a minority of cells are positive for urothelial markers, and rare cells coexpress both melanocytic and urothelial markers. Cells that express melanocytic markers or urothelial markers are intimately admixed together. Taken together, a diagnosis of high-grade urothelial carcinoma with malignant melanocytic differentiation was rendered. This is the first report in the literature of malignant melanocytic differentiation in a high-grade urothelial carcinoma, a finding that may have important diagnostic and therapeutic implications.


2021 ◽  
Author(s):  
Ce Wang ◽  
Yuting Ma ◽  
Zhiguo Pei ◽  
Feifei Song ◽  
Jinfeng Zhong ◽  
...  
Keyword(s):  

2018 ◽  
Vol 9 (1) ◽  
Author(s):  
Aashi Jindal ◽  
Prashant Gupta ◽  
Jayadeva ◽  
Debarka Sengupta

2021 ◽  
Author(s):  
Bianca A Ulloa ◽  
Samima S Habbsa ◽  
Kathryn S Potts ◽  
Alana Lewis ◽  
Mia McKinstry ◽  
...  

Hematopoietic stem cells (HSCs) are rare cells that arise in the embryo and sustain adult hematopoiesis. Although the functional potential of nascent HSCs is detectable by transplantation, their native contribution during development is unknown, in part due to the overlapping genesis and marker gene expression with other embryonic blood progenitors. Using single cell transcriptomics, we defined gene signatures that distinguish nascent HSCs from embryonic blood progenitors. Applying a new lineage tracing approach, we selectively tracked HSC output in situ and discovered significantly delayed lymphomyeloid contribution. Using a novel inducible HSC injury model, we demonstrated a negligible impact on larval lymphomyelopoiesis following HSC depletion. HSCs are not merely dormant at this developmental stage as they showed robust regeneration after injury. Combined, our findings illuminate that nascent HSCs self-renew but display differentiation latency, while HSC-independent embryonic progenitors sustain developmental hematopoiesis. Understanding the differences among embryonic HSC and progenitor populations will guide improved de novo generation and expansion of functional HSCs.


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