RNA-seq Profiling of Small Numbers of Drosophila Neurons

被引:20
|
作者
Abruzzi, Katharine [1 ,2 ]
Chen, Xiao [1 ,2 ]
Nagoshi, Emi [3 ]
Zadina, Abby [1 ,2 ]
Rosbash, Michael [1 ,2 ]
机构
[1] Brandeis Univ, Dept Biol, Howard Hughes Med Inst, Waltham, MA 02254 USA
[2] Brandeis Univ, Natl Ctr Behav Genom, Waltham, MA USA
[3] Univ Geneva, Dept Genet & Evolut, Geneva, Switzerland
关键词
INTEGRATIVE GENOMICS VIEWER; SINGLE-CELL; PACEMAKER NEURONS; MAMMALIAN-CELLS; GENE-EXPRESSION; CLOCK; BRAIN; TRANSCRIPTOME; REVEALS;
D O I
10.1016/bs.mie.2014.10.025
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Drosophila melanogaster has a robust circadian clock, which drives a rhythmic behavior pattern: locomotor activity increases in the morning shortly before lights on (M peak) and in the evening shortly before lights off (E peak). This pattern is controlled by similar to 75 pairs of circadian neurons in the Drosophila brain. One key group of neurons is the M-cells (PDF+ large and small LN(v)s), which control the M peak. A second key group is the E-cells, consisting of four LN(d)s and the fifth small LNv, which control the E peak. Recent studies show that the M-cells have a second role in addition to controlling the M peak; they communicate with the E-cells (as well as DN(1)s) to affect their timing, probably as a function of environmental conditions (Guo, Cerullo, Chen, & Rosbash, 2014). To learn about molecules within the M-cells important for their functional roles, we have adapted methods to manually sort fluorescent protein-expressing neurons of interest from dissociated Drosophila brains. We isolated mRNA and miRNA from sorted M-cells and amplified the resulting DNAs to create deep-sequencing libraries. Visual inspection of the libraries illustrates that they are specific to a particular neuronal subgroup; M-cell libraries contain timeless and dopaminergic cell libraries contain ple/TH. Using these data, it is possible to identify cycling transcripts as well as many mRNAs and miRNAs specific to or enriched in particular groups of neurons.
引用
收藏
页码:369 / 386
页数:18
相关论文
共 50 条
  • [21] Data on RNA-seq analysis of Drosophila melanogaster during ageing
    Bajgiran, Morteza
    Azlan, Azali
    Shamsuddin, Shaharum
    Azzam, Ghows
    Halim, Mardani Abdul
    DATA IN BRIEF, 2021, 38
  • [22] Transcriptomic profiling of haloarchaeal denitrification through RNA-Seq analysis
    Miralles-Robledillo, Jose Maria
    Martinez-Espinosa, Rosa Maria
    Pire, Carmen
    APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2024, 90 (06)
  • [23] Comprehensive RNA-seq transcriptomic profiling in the malignant progression of gliomas
    Zhao, Zheng
    Meng, Fanlin
    Wang, Wen
    Wang, Zheng
    Zhang, Chuanbao
    Jiang, Tao
    SCIENTIFIC DATA, 2017, 4
  • [24] RNA-SEQ PROFILING OF BOVINE PRE-IMPLANTATION EMBRYOS
    Krebs, S.
    Graf, A.
    Valeri, Z.
    Blum, H.
    Wolf, E.
    REPRODUCTION FERTILITY AND DEVELOPMENT, 2013, 25 (01) : 251 - 251
  • [25] Comprehensive RNA-seq transcriptomic profiling in the malignant progression of gliomas
    Zheng Zhao
    Fanlin Meng
    Wen Wang
    Zheng Wang
    Chuanbao Zhang
    Tao Jiang
    Scientific Data, 4
  • [26] Transcriptome profiling of CTLs regulated by rapamycin using RNA-Seq
    Mattson, Elliot
    Xu, Lingyang
    Li, Lei
    Liu, George E.
    Xiao, Zhengguo
    IMMUNOGENETICS, 2014, 66 (11) : 625 - 633
  • [27] RNA-seq and microarray complement each other in transcriptome profiling
    Sunitha Kogenaru
    Qing Yan
    Yinping Guo
    Nian Wang
    BMC Genomics, 13
  • [28] RNA-Seq profiling of silibinin effects on bladder cancer cells
    Yamamura, Soichiro
    Mitsui, Yozo
    Bucay, Nathan
    Saini, Sharanjot
    Majid, Shahana
    Deng, Guoren
    Shahryary, Varahram
    Dahiya, Rajvir
    Tanaka, Yuichiro
    CANCER RESEARCH, 2015, 75
  • [29] Antigen receptor repertoire profiling from RNA-seq data
    Dmitriy A Bolotin
    Stanislav Poslavsky
    Alexey N Davydov
    Felix E Frenkel
    Lorenzo Fanchi
    Olga I Zolotareva
    Saskia Hemmers
    Ekaterina V Putintseva
    Anna S Obraztsova
    Mikhail Shugay
    Ravshan I Ataullakhanov
    Alexander Y Rudensky
    Ton N Schumacher
    Dmitriy M Chudakov
    Nature Biotechnology, 2017, 35 : 908 - 911
  • [30] RNA-seq and microarray complement each other in transcriptome profiling
    Kogenaru, Sunitha
    Qing, Yan
    Guo, Yinping
    Wang, Nian
    BMC GENOMICS, 2012, 13