scholarly journals Fluorescence-Activated Cell Sorting for Analysis of Cell Type-Specific Responses to Salinity Stress in Arabidopsis and Rice

2012 ◽  
pp. 265-276 ◽  
Author(s):  
Aurelie Evrard ◽  
Bastiaan O. R. Bargmann ◽  
Kenneth D. Birnbaum ◽  
Mark Tester ◽  
Ute Baumann ◽  
...  
2017 ◽  
Author(s):  
Wayo Matsushima ◽  
Veronika A Herzog ◽  
Tobias Neumann ◽  
Katharina Gapp ◽  
Johannes Zuber ◽  
...  

AbstractCell type-specific transcriptome analysis is an essential tool in understanding biological processes but can be challenging due to the limits of microdissection or fluorescence-activated cell sorting (FACS). Here, we report a novel in vivo sequencing method, which captures the transcriptome of a specific type of cells in a tissue without prior cellular or molecular sorting. SLAM-ITseq provides an accurate snapshot of the transcriptional state in vivo.


2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Georgia K. Atkin-Smith ◽  
Stephanie Paone ◽  
Damien J. Zanker ◽  
Mubing Duan ◽  
Than K. Phan ◽  
...  

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 3025-3025
Author(s):  
Tran Bich Nguyen ◽  
Mamiko Sakata-Yanagimoto ◽  
Yukitsugu Asabe ◽  
Kenichi Yoshida ◽  
Hideharu Muto ◽  
...  

Abstract [Backgrounds] Angioimmunoblastic T-cell lymphoma (AITL) is a distinct subtype of peripheral T-cell lymphoma (PTCL), characterized by generalized lymphadenopathy and autoimmune-like manifestations. Regarding genetic lesions of AITL, frequent mutations in TET2, IDH2, DNMT3A and RHOA have been identified. In some PTCL cases, TET2 and DNMT3A mutations were identified in cell populations beyond the CD4+ T-lymphocytes, in which the tumor cells are contained, suggesting that TET2 and DNMT3A mutations occurred earlier than the commitment to CD4+ T lymphocytes. [Objective] We performed this study to identify the cell-type-specific mutations and further explore mutational profiles in AITL and AITL-related cancer. [Methods] The dataset of targeted sequencing was analyzed for 76 genes in 79 PTCL samples. Mutational origin was analyzed by cell sorting and laser microdissection. [Results] Targeted sequencing identified 168 mutations in 33 genes. Recurrent mutations, in addition to the already known frequent mutations in RHOA/TET2/IDH2/DNMT3A, were found in ODZ1 [4/79 (5%)], Notch1, NAV2, and MTERFD3 [3/79 (4%) for each], MLL2, TET3, FAT2, and LAMA2 [2/79 (3%) for each]. TET2/DMNT3A mutations showed statistically higher allelic burden than the newly identified mutations, suggesting precedence of TET2/DNMT3A mutations. Cell sorting and laser microdissection, followed by amplicon sequencing, revealed that TET2/DNMT3A mutations were identified in both tumor cell-enriched and –depleted populations while RHOA and IDH2 mutations were confined to tumor cell-enriched populations. Most of the newly identified mutations were similarly classified into the above-mentioned two types. It is noteworthy that we found some mutations only in T-cell lymphoma cell-depleted CD20-positive population but not in the tumor-cell-enriched PD-1-positive population. [Conclusion and discussion] Differentiation stages that mutational events arise are likely to be multiple in AITL and AITL-related lymphoma. Moreover, in AITL, Epstein-Bar virus-infected B cells often grow in an oligoclonal manner, sometimes resulting in monoclonal proliferation with fully malignant features. Detection of B-cell specific mutations might suggest premalignant status of B cells in these cases. Disclosures No relevant conflicts of interest to declare.


Development ◽  
2018 ◽  
Vol 145 (13) ◽  
pp. dev164640 ◽  
Author(s):  
Wayo Matsushima ◽  
Veronika A. Herzog ◽  
Tobias Neumann ◽  
Katharina Gapp ◽  
Johannes Zuber ◽  
...  

2016 ◽  
Author(s):  
Benedict Anchang ◽  
Sylvia K. Plevritis

AbstractCell sorting or gating homogenous subpopulations from single-cell data enables cell-type specific characterization, such as cell-type genomic profiling as well as the study of tumor progression. This highlight summarizes recently developed automated gating algorithms that are optimized for both population identification and sorting homogeneous single cells in heterogeneous single-cell data. Data-driven gating strategies identify and/or sort homogeneous subpopulations from a heterogeneous population without relying on expert knowledge thereby removing human bias and variability. We further describe an optimized cell sorting strategy called CCAST based on Clustering, Classification and Sorting Trees which identifies the relevant gating markers, gating hierarchy and partitions that define underlying cell subpopulations. CCAST identifies more homogeneous subpopulations in several applications compared to prior sorting strategies and reveals simultaneous intracellular signaling across different lineage subtypes under different experimental conditions.


2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Elior Rahmani ◽  
Regev Schweiger ◽  
Brooke Rhead ◽  
Lindsey A. Criswell ◽  
Lisa F. Barcellos ◽  
...  

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