(*contributed equally to this work) Published: Vol 10, Iss 4, Feb 20, 2020 DOI: 10.21769/BioProtoc.3520 Views: 3949
Reviewed by: Imre GáspárPrashanth N SuravajhalaNarendranath Bhokisham
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Abstract
Chromatin immunoprecipitation is extensively used to investigate the epigenetic profile and transcription factor binding sites in the genome. However, when the starting material is limited, the conventional ChIP-Seq approach cannot be implemented. This protocol describes a method that can be used to generate the chromatin profiles from as low as 100 human or 1,000 Drosophila cells. The method employs tagmentation to fragment the chromatin with concomitant addition of sequencing adaptors. The method generates datasets with high signal to noise ratio and can be subjected to standard tools for ChIP-Seq analysis.
Keywords: Low Input ChIP-SeqBackground
Epigenetic state and transcription factors occupancy are critical determinants of gene expression. To understand this regulation, the precise mapping of chromatin features are very important. Chromatin immunoprecipitation coupled with next generation sequencing is a powerful technique that gives valuable insight into genome wide distributions of chromatin features (Ghavi-Helm et al., 2016). Although powerful, this technique is limited in its application owing to the need of significant starting material which in some conditions are hard to meet, if not completely impossible. This limitation has driven many recent efforts to adapt ChIP-Seq approach for low amount starting material or for rare cell types (Adli et al., 2010; Zheng et al., 2015). One of the key limitations of these efforts is the use of sonication or MNAse for fragmenting the chromatin. The former approach is detrimental for the epitope when present in limited amount as it can lead to destruction of the epitope used for subsequent immunoprecipitation (Stathopulos et al., 2004). The MNAse approach on the other hand is hard to control for its efficacy and saturation. The recent application of CUT&RUN approach was successful in generating profiles from samples of 100 cells using antibody-targeted micrococcal nuclease (Skene et al., 2018). However, all these approaches still resort to ligation-based library preparation approach involving multiple steps, potentially leading to increased variability as well as of loss of complexity (Seguin-Orlando et al., 2013). The method described here overcomes these limitations by using commercially available Tn5 enzyme for fragmenting the chromatin with simultaneous preparation of libraries with fewer intermediate steps. The direct comparison of CUT&RUN approach and TAF-ChIP reveals superior signal to noise ratio in the later, making use of standard bioinformatics pipeline amenable to this approach.
Materials and Reagents
Primers | |
fw ATAC-seq primer, general, no index | AATGATACGGCGACCACCGAGATCTACACTCGTCGGCAGCGTCAGATGT*G |
rev ATAC-seq primer, Truseq index, 34 CATGGC | CAAGCAGAAGACGGCATACGAGATGCCATGGTCTCGTGGGCTCGGAGATG*T |
rev ATAC-seq primer, Truseq index, 48 TCGGCA | CAAGCAGAAGACGGCATACGAGATTGCCGAGTCTCGTGGGCTCGGAGATG*T |
rev ATAC-seq primer, Truseq index, 22 CGTACG | CAAGCAGAAGACGGCATACGAGATCGTACGGTCTCGTGGGCTCGGAGATG*T |
rev ATAC-seq primer, Truseq index, 15 ATGTCA | CAAGCAGAAGACGGCATACGAGATTGACATGTCTCGTGGGCTCGGAGATG*T |
rev ATAC-seq primer, Truseq index, 46 TCCCGA | CAAGCAGAAGACGGCATACGAGATTCGGGAGTCTCGTGGGCTCGGAGATG*T |
rev ATAC-seq primer, Truseq index, 45 TCATTC | CAAGCAGAAGACGGCATACGAGATGAATGAGTCTCGTGGGCTCGGAGATG*T |
rev ATAC-seq primer, Truseq index, 40 CTCAGA | CAAGCAGAAGACGGCATACGAGATTCTGAGGTCTCGTGGGCTCGGAGATG*T |
rev ATAC-seq primer, Truseq index, 39 CTATAC | CAAGCAGAAGACGGCATACGAGATGTATAGGTCTCGTGGGCTCGGAGATG*T |
rev ATAC-seq primer, Truseq index, 38 CTAGCT | CAAGCAGAAGACGGCATACGAGATAGCTAGGTCTCGTGGGCTCGGAGATG*T |
rev ATAC-seq primer, Truseq index, 37 CGGAAT | CAAGCAGAAGACGGCATACGAGATATTCCGGTCTCGTGGGCTCGGAGATG*T |
rev ATAC-seq primer, Truseq index, 36 CCAACA | CAAGCAGAAGACGGCATACGAGATTGTTGGGTCTCGTGGGCTCGGAGATG*T |
rev ATAC-seq primer, Truseq index, 35 CATTTT | CAAGCAGAAGACGGCATACGAGATAAAATGGTCTCGTGGGCTCGGAGATG*T |
rev ATAC-seq primer, Truseq index, 25 ACTGAT | CAAGCAGAAGACGGCATACGAGATATCAGTGTCTCGTGGGCTCGGAGATG*T |
rev ATAC-seq primer, Truseq index, 26 ATGAG | CAAGCAGAAGACGGCATACGAGATGCTCATGTCTCGTGGGCTCGGAGATG*T |
rev ATAC-seq primer, Truseq index, 27 ATTCCT | CAAGCAGAAGACGGCATACGAGATAGGAATGTCTCGTGGGCTCGGAGATG*T |
rev ATAC-seq primer, Truseq index, 28 CAAAAG | CAAGCAGAAGACGGCATACGAGATCTTTTGGTCTCGTGGGCTCGGAGATG*T |
rev ATAC-seq primer, Truseq index, 23 GAGTGG | CAAGCAGAAGACGGCATACGAGATCCACTCGTCTCGTGGGCTCGGAGATG*T |
rev ATAC-seq primer, Truseq index, 24 GGTAGC | CAAGCAGAAGACGGCATACGAGATGCTACCGTCTCGTGGGCTCGGAGATG*T |
rev ATAC-seq primer, Truseq index, 42 TAATCG | CAAGCAGAAGACGGCATACGAGATCGATTAGTCTCGTGGGCTCGGAGATG*T |
rev ATAC-seq primer, Truseq index, 41 GACGAC | CAAGCAGAAGACGGCATACGAGATGTCGTCGTCTCGTGGGCTCGGAGATG*T |
Equipment
Software
Procedure
Data analysis
Recipes
Acknowledgments
This work was supported by the Deutsche Forschungsgemeinschaft (DFG) grant DFG BE 4728 1-1 and 3-1. The International PhD Programme (IPP) of the Institute of Molecular Biology, Mainz for supporting the PhD work of S.A. and P.M. We would also like to thank IMB FACS core facility for helping us in sorting.
This work is a detailed and adapted version of our previously published work (Akhtar et al. , 2019). The FACS sorting workflow was adapted and modified from an earlier work (Berger et al. , 2012).
Competing interests
The authors declare no financial and non-financial competing interest.
Ethics
The described experiments in Drosophila were performed according to the guidelines (Invertebrates are not under animal welfare/ethics laws in Germany). None of the experiments were performed on human subjects.
References
Article Information
Copyright
© 2020 The Authors; exclusive licensee Bio-protocol LLC.
How to cite
Akhtar, J., More, P. and Albrecht, S. (2020). ChIP-Seq from Limited Starting Material of K562 Cells and Drosophila Neuroblasts Using Tagmentation Assisted Fragmentation Approach. Bio-protocol 10(4): e3520. DOI: 10.21769/BioProtoc.3520.
Category
Cell Biology > Organelle isolation > Nuclei
Molecular Biology > DNA > DNA sequencing
Systems Biology > Genomics > ChIP-seq
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