Biotechnology Bulletin ›› 2023, Vol. 39 ›› Issue (4): 227-235.doi: 10.13560/j.cnki.biotech.bull.1985.2022-0940
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ZHANG Xin-bo(), CUI Hao-liang, SHI Pei-hua, GAO Jin-chun, ZHAO Shun-ran, TAO Chen-yu()
Received:
2022-07-28
Online:
2023-04-26
Published:
2023-05-16
ZHANG Xin-bo, CUI Hao-liang, SHI Pei-hua, GAO Jin-chun, ZHAO Shun-ran, TAO Chen-yu. Research Progress in Low-input Chromatin Immunoprecipitation Assay[J]. Biotechnology Bulletin, 2023, 39(4): 227-235.
方法Method | 传统ChIP Traditional ChIP | ULI-NChIP | TAT-ChIP |
---|---|---|---|
起始细胞量Initial cell volume | 107个细胞 | 103个细胞 | 100个细胞 |
样品处理Sample processing | 甲醛交联 | 无需甲醛交联 | 无需甲醛交联 |
DNA片段化DNA fragmentation | 超声处理 | MNase消化 | Tn5转座酶处理 |
接头序列Adaptor Sequence | 加A,加序列接头 | 加A,加序列接头 | Tn5转座酶直接加序列接头 |
扩增方式Amplification method | PCR | PCR | PCR |
DNA纯化DNA purification | 纯化 | 纯化 | 无需纯化 |
文库构建Library construction | 8-10周期 | 8-10周期 | |
测量项目Measurement items | hPTMs | hPTMs | hPTMs |
Table 1 Comparison of three technologies ChIP, ULI-NChIP and TAT-ChIP
方法Method | 传统ChIP Traditional ChIP | ULI-NChIP | TAT-ChIP |
---|---|---|---|
起始细胞量Initial cell volume | 107个细胞 | 103个细胞 | 100个细胞 |
样品处理Sample processing | 甲醛交联 | 无需甲醛交联 | 无需甲醛交联 |
DNA片段化DNA fragmentation | 超声处理 | MNase消化 | Tn5转座酶处理 |
接头序列Adaptor Sequence | 加A,加序列接头 | 加A,加序列接头 | Tn5转座酶直接加序列接头 |
扩增方式Amplification method | PCR | PCR | PCR |
DNA纯化DNA purification | 纯化 | 纯化 | 无需纯化 |
文库构建Library construction | 8-10周期 | 8-10周期 | |
测量项目Measurement items | hPTMs | hPTMs | hPTMs |
方法Method | 传统ChIP Conventional ChIP | LIFE-ChIP-seq | SurfaceChIP-seq | MOWChIP | mu-CM | PnP-ChIP-seq |
---|---|---|---|---|---|---|
起始细胞量Starting cell volume | 107个细胞 | 50个细胞 | 30-100个细胞 | 100个细胞 | 20个细胞 | 15 000个细胞 |
样品处理Sample processing | 甲醛交联 | 甲醛交联 | 无需甲醛交联 | 甲醛交联 | 无需甲醛交联 | 甲醛交联 |
DNA片段化DNA fragmentation | 超声处理 | 超声处理 | MNase消化 | 超声处理 | MNase酶解和 Tn5转座酶处理 | 超声处理 |
接头序列Adaptor Sequence | 加A,加序列接头 | 加A,加序列接头 | 加A,加序列接头 | 加A,加序列接头 | Tn5转座酶直接加序列接头 | 加A,加序列接头 |
扩增方式Amplification method | PCR | PCR | PCR | PCR | PCR | PCR |
DNA纯化DNA purification | 纯化 | 纯化 | 纯化 | 纯化 | 纯化 | 无需纯化 |
文库构建Library construction | 8-10周期 | 1 d | 10个周期 | |||
测量项目Measurement items | hPTMs | hPTMs | hPTMs | hPTMs | hPTMs | hPTMs |
实验周期Experimental period | 4-5 d | 1 h | 1 h | 2 d | 7 h | 5 h |
一次运行得到的数据集 Data set from one run | 单个 | 4个 | 8个 | 8个 | 8个 | 24个 |
Table 2 Comparison of five technologies ChIP, MOWChIP, LIFE-ChIP-seq, SurfaceChIP-seq, mu-CM and PnP-ChIP-seq
方法Method | 传统ChIP Conventional ChIP | LIFE-ChIP-seq | SurfaceChIP-seq | MOWChIP | mu-CM | PnP-ChIP-seq |
---|---|---|---|---|---|---|
起始细胞量Starting cell volume | 107个细胞 | 50个细胞 | 30-100个细胞 | 100个细胞 | 20个细胞 | 15 000个细胞 |
样品处理Sample processing | 甲醛交联 | 甲醛交联 | 无需甲醛交联 | 甲醛交联 | 无需甲醛交联 | 甲醛交联 |
DNA片段化DNA fragmentation | 超声处理 | 超声处理 | MNase消化 | 超声处理 | MNase酶解和 Tn5转座酶处理 | 超声处理 |
接头序列Adaptor Sequence | 加A,加序列接头 | 加A,加序列接头 | 加A,加序列接头 | 加A,加序列接头 | Tn5转座酶直接加序列接头 | 加A,加序列接头 |
扩增方式Amplification method | PCR | PCR | PCR | PCR | PCR | PCR |
DNA纯化DNA purification | 纯化 | 纯化 | 纯化 | 纯化 | 纯化 | 无需纯化 |
文库构建Library construction | 8-10周期 | 1 d | 10个周期 | |||
测量项目Measurement items | hPTMs | hPTMs | hPTMs | hPTMs | hPTMs | hPTMs |
实验周期Experimental period | 4-5 d | 1 h | 1 h | 2 d | 7 h | 5 h |
一次运行得到的数据集 Data set from one run | 单个 | 4个 | 8个 | 8个 | 8个 | 24个 |
方法Method | 传统ChIP Conventional ChIP | lobChIP | FARP-ChIP | ChIPmentation |
---|---|---|---|---|
起始细胞量 Initial cell volume | 107个细胞 | 106个细胞 | 500个细胞 | 104个细胞 |
样品处理 Sample processing | 甲醛交联 | 甲醛交联 | 甲醛交联合成DNA | 甲醛交联 |
DNA片段化 DNA fragmentation | 超声处理 | 超声处理 | 超声处理 | Tn5转座酶处理 |
接头序列 Adaptor Sequence | 加A,加序列接头 | 加A,加序列接头 | 加A,加序列接头。 | Tn5转座酶直接加序列接头 |
扩增方式 Amplification method | PCR | PCR | PCR | PCR |
DNA纯化 DNA purification | 纯化 | 无需纯化 | 纯化 | 纯化 |
文库构建 Library construction | 8-10周期 | 16-18个周期 | 12周期 | |
测量项目 Measurement items | TF和hPTMs | TF和hPTMs | hPTMs | hPTMs、TF、核小体 |
实验周期 Experimental period | 4-5 d | 1 d |
Table 3 Comparison of four technologies ChIP, lobChIP, FARP-ChIP and ChIPmentation
方法Method | 传统ChIP Conventional ChIP | lobChIP | FARP-ChIP | ChIPmentation |
---|---|---|---|---|
起始细胞量 Initial cell volume | 107个细胞 | 106个细胞 | 500个细胞 | 104个细胞 |
样品处理 Sample processing | 甲醛交联 | 甲醛交联 | 甲醛交联合成DNA | 甲醛交联 |
DNA片段化 DNA fragmentation | 超声处理 | 超声处理 | 超声处理 | Tn5转座酶处理 |
接头序列 Adaptor Sequence | 加A,加序列接头 | 加A,加序列接头 | 加A,加序列接头。 | Tn5转座酶直接加序列接头 |
扩增方式 Amplification method | PCR | PCR | PCR | PCR |
DNA纯化 DNA purification | 纯化 | 无需纯化 | 纯化 | 纯化 |
文库构建 Library construction | 8-10周期 | 16-18个周期 | 12周期 | |
测量项目 Measurement items | TF和hPTMs | TF和hPTMs | hPTMs | hPTMs、TF、核小体 |
实验周期 Experimental period | 4-5 d | 1 d |
[1] |
Gilmour DS, LIS JT. Detecting protein-DNA interactions in vivo: distribution of RNA polymerase on specific bacterial genes[J]. Proc Natl Acad Sci USA, 1984, 81(14): 4275-4279.
pmid: 6379641 |
[2] |
Solomon MJ, Varshavsky A. Formaldehyde-mediated DNA-protein crosslinking: a probe for in vivo chromatin structures[J]. Proc Natl Acad Sci USA, 1985, 82(19): 6470-6474.
pmid: 2995966 |
[3] |
Ren B, Robert F, Wyrick JJ, et al. Genome-wide location and function of DNA binding proteins[J]. Science, 2000, 290(5500): 2306-2309.
doi: 10.1126/science.290.5500.2306 pmid: 11125145 |
[4] |
Barski A, Cuddapah S, Cui KR, et al. High-resolution profiling of histone methylations in the human genome[J]. Cell, 2007, 129(4): 823-837.
doi: 10.1016/j.cell.2007.05.009 pmid: 17512414 |
[5] |
Johnson DS, Mortazavi A, Myers RM, et al. Genome-wide mapping of in vivo protein-DNA interactions[J]. Science, 2007, 316(5830): 1497-1502.
doi: 10.1126/science.1141319 pmid: 17540862 |
[6] |
Robertson G, Hirst M, Bainbridge M, et al. Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing[J]. Nat Methods, 2007, 4(8): 651-657.
doi: 10.1038/nmeth1068 pmid: 17558387 |
[7] |
Mikkelsen TS, Ku M, Jaffe DB, et al. Genome-wide maps of chromatin state in pluripotent and lineage-committed cells[J]. Nature, 2007, 448(7153): 553-560.
doi: 10.1038/nature06008 |
[8] |
Chen YW, Negre N, Li QH, et al. Systematic evaluation of factors influencing ChIP-seq fidelity[J]. Nat Methods, 2012, 9(6): 609-614.
doi: 10.1038/nmeth.1985 pmid: 22522655 |
[9] |
O'Neill LP, Turner BM. Immunoprecipitation of native chromatin: NChIP[J]. Methods, 2003, 31(1): 76-82.
pmid: 12893176 |
[10] |
Thorne AW, Myers FA, Hebbes TR. Native chromatin immunoprecipitation[J]. Methods Mol Biol, 2004, 287: 21-44.
pmid: 15273401 |
[11] |
Umlauf D, Goto Y, Feil R. Site-specific analysis of histone methylation and acetylation[J]. Methods Mol Biol, 2004, 287: 99-120.
pmid: 15273407 |
[12] |
O’Neill LP, Turner BM. Histone H4 acetylation distinguishes coding regions of the human genome from heterochromatin in a differentiation-dependent but transcription-independent manner[J]. EMBO J, 1995, 14(16): 3946-3957.
doi: 10.1002/j.1460-2075.1995.tb00066.x pmid: 7664735 |
[13] |
Hitchler MJ, Rice JC. Genome-wide epigenetic analysis of human pluripotent stem cells by ChIP and ChIP-Seq[J]. Methods Mol Biol, 2011, 767: 253-267.
doi: 10.1007/978-1-61779-201-4_19 pmid: 21822881 |
[14] |
Gilfillan GD, Hughes T, Sheng Y, et al. Limitations and possibilities of low cell number ChIP-seq[J]. BMC Genomics, 2012, 13: 645.
doi: 10.1186/1471-2164-13-645 pmid: 23171294 |
[15] |
Adli M, Zhu J, Bernstein BE. Genome-wide chromatin maps derived from limited numbers of hematopoietic progenitors[J]. Nat Methods, 2010, 7(8): 615-618.
doi: 10.1038/nmeth.1478 pmid: 20622861 |
[16] |
Schmidl C, Rendeiro AF, Sheffield NC, et al. ChIPmentation: fast, robust, low-input ChIP-seq for histones and transcription factors[J]. Nat Methods, 2015, 12(10): 963-965.
doi: 10.1038/nmeth.3542 pmid: 26280331 |
[17] |
Zhu BH, Hsieh YP, Murphy TW, et al. MOWChIP-seq for low-input and multiplexed profiling of genome-wide histone modifications[J]. Nat Protoc, 2019, 14(12): 3366-3394.
doi: 10.1038/s41596-019-0223-x pmid: 31666743 |
[18] |
Song JW, Xie C, Jiang LL, et al. Transcription factor AP-4 promotes tumorigenic capability and activates the Wnt/β-catenin pathway in hepatocellular carcinoma[J]. Theranostics, 2018, 8(13): 3571-3583.
doi: 10.7150/thno.25194 pmid: 30026867 |
[19] |
Iyer VR, Horak CE, Scafe CS, et al. Genomic binding sites of the yeast cell-cycle transcription factors SBF and MBF[J]. Nature, 2001, 409(6819): 533-538.
doi: 10.1038/35054095 |
[20] | Ramirez RN, Chowdhary K, Leon J, et al. FoxP3 associates with enhancer-promoter loops to regulate Treg-specific gene expression[J]. Sci Immunol, 2022, 7(67): eabj9836. |
[21] |
Lai FL, Cheng YB, Zou J, et al. Identification of histone modifications reveals a role of H2b monoubiquitination in transcriptional regulation of dmrt1 in Monopterus albus[J]. Int J Biol Sci, 2021, 17(8): 2009-2020.
doi: 10.7150/ijbs.59347 URL |
[22] |
Kim JY, Park M, Ohn J, et al. Twist2-driven chromatin remodeling governs the postnatal maturation of dermal fibroblasts[J]. Cell Rep, 2022, 39(7): 110821.
doi: 10.1016/j.celrep.2022.110821 URL |
[23] |
Cao LL, Zhu SM, Lu H, et al. Helicobacter pylori-induced RASAL2 through activation of nuclear factor-κB promotes gastric tumorigenesis via β-catenin signaling axis[J]. Gastroenterology, 2022, 162(6): 1716-1731.e17.
doi: 10.1053/j.gastro.2022.01.046 URL |
[24] |
Kato H, Tateishi K, Fujiwara H, et al. MNX1-HNF1B axis is indispensable for intraductal papillary mucinous neoplasm lineages[J]. Gastroenterology, 2022, 162(4): 1272-1287.e16.
doi: 10.1053/j.gastro.2021.12.254 URL |
[25] | Ostler JB, Thunuguntla P, Hendrickson BY, et al. Transactivation of Herpes simplex virus 1(HSV-1)infected cell protein 4 enhancer by glucocorticoid receptor and stress-induced transcription factors requires overlapping krüppel-like transcription factor 4/Sp1 binding sites[J]. J Virol, 2021, 95(4). |
[26] |
Li JN, Cao C, Xiang YL, et al. TLT2 suppresses Th1 response by promoting IL-6 production in monocyte through JAK/STAT3 signal pathway in tuberculosis[J]. Front Immunol, 2020, 11: 2031.
doi: 10.3389/fimmu.2020.02031 pmid: 33042115 |
[27] |
Kanagaraj R, Mitter R, Kantidakis T, et al. Integrated genome and transcriptome analyses reveal the mechanism of genome instability in Ataxia with oculomotor apraxia 2[J]. Proc Natl Acad Sci USA, 2022, 119(4): e2114314119.
doi: 10.1073/pnas.2114314119 URL |
[28] |
Chen Q, Wang HB, Li Z, et al. Circular RNA ACTN4 promotes intrahepatic cholangiocarcinoma progression by recruiting YBX1 to initiate FZD7 transcription[J]. J Hepatol, 2022, 76(1): 135-147.
doi: 10.1016/j.jhep.2021.08.027 URL |
[29] |
Wang YA, Yan QJ, Mo YZ, et al. Splicing factor derived circular RNA circCAMSAP1 accelerates nasopharyngeal carcinoma tumorigenesis via a SERPINH1/c-Myc positive feedback loop[J]. Mol Cancer, 2022, 21(1): 62.
doi: 10.1186/s12943-022-01502-2 pmid: 35227262 |
[30] |
Gavrilov AA, Sultanov RI, Magnitov MD, et al. RedChIP identifies noncoding RNAs associated with genomic sites occupied by Polycomb and CTCF proteins[J]. Proc Natl Acad Sci USA, 2022, 119(1): e2116222119.
doi: 10.1073/pnas.2116222119 URL |
[31] |
Feng YL, Cai LY, Hong WZ, et al. Rewiring of 3D chromatin topology orchestrates transcriptional reprogramming and the development of human dilated cardiomyopathy[J]. Circulation, 2022, 145(22): 1663-1683.
doi: 10.1161/CIRCULATIONAHA.121.055781 URL |
[32] |
Wang P, Nolan TM, Yin YH, et al. Identification of transcription factors that regulate ATG8 expression and autophagy in Arabidopsis[J]. Autophagy, 2020, 16(1): 123-139.
doi: 10.1080/15548627.2019.1598753 URL |
[33] |
Qiao JY, Jiang HZ, Lin YQ, et al. A novel miR167a-OsARF6-OsAUX3 module regulates grain length and weight in rice[J]. Mol Plant, 2021, 14(10): 1683-1698.
doi: 10.1016/j.molp.2021.06.023 pmid: 34186219 |
[34] |
Chen WJ, Hu Z, Yu MT, et al. A molecular link between autophagy and circadian rhythm in plants[J]. J Integr Plant Biol, 2022, 64(5): 1044-1058.
doi: 10.1111/jipb.13250 |
[35] |
Song SY, Tien CL, Cui H, et al. Myocardial rev-erb-mediated diurnal metabolic rhythm and obesity paradox[J]. Circulation, 2022, 145(6): 448-464.
doi: 10.1161/CIRCULATIONAHA.121.056076 pmid: 35034472 |
[36] |
Ullah I, Thölken C, Zhong YC, et al. RNA inhibits dMi-2/CHD4 chromatin binding and nucleosome remodeling[J]. Cell Rep, 2022, 39(9): 110895.
doi: 10.1016/j.celrep.2022.110895 URL |
[37] |
Bedi YS, Roach AN, Thomas KN, et al. Chromatin alterations during the epididymal maturation of mouse sperm refine the paternally inherited epigenome[J]. Epigenetics Chromatin, 2022, 15(1): 2.
doi: 10.1186/s13072-021-00433-4 pmid: 34991687 |
[38] |
Guo J, Deng XM, Zhang Y, et al. The flagellar transcriptional regulator FtcR controls Brucella melitensis 16M biofilm formation via a betI-mediated pathway in response to hyperosmotic stress[J]. Int J Mol Sci, 2022, 23(17): 9905.
doi: 10.3390/ijms23179905 URL |
[39] |
Rai KK, Singh S, Rai R, et al. Functional characterization of two WD40 family proteins, Alr0671 and All2352, from Anabaena PCC 7120 and deciphering their role in abiotic stress management[J]. Plant Mol Biol, 2022, 110: 545-563.
doi: 10.1007/s11103-022-01306-4 |
[40] |
Brind'Amour J, Liu S, Hudson M, et al. An ultra-low-input native ChIP-seq protocol for genome-wide profiling of rare cell populations[J]. Nat Commun, 2015, 6: 6033.
doi: 10.1038/ncomms7033 pmid: 25607992 |
[41] |
Akhtar J, More P, Albrecht S, et al. TAF-ChIP: an ultra-low input approach for genome-wide chromatin immunoprecipitation assay[J]. Life Sci Alliance, 2019, 2(4): e201900318.
doi: 10.26508/lsa.201900318 URL |
[42] |
Orlando V. Mapping chromosomal proteins in vivo by formaldehyde-crosslinked-chromatin immunoprecipitation[J]. Trends Biochem Sci, 2000, 25(3): 99-104.
pmid: 10694875 |
[43] |
Liu YD, Zhang YP, Yin JQ, et al. Distinct H3K9me3 and DNA methylation modifications during mouse spermatogenesis[J]. J Biol Chem, 2019, 294(49): 18714-18725.
doi: 10.1074/jbc.RA119.010496 pmid: 31662436 |
[44] |
Wang CF, Liu XY, Gao YW, et al. Reprogramming of H3K9me3-dependent heterochromatin during mammalian embryo development[J]. Nat Cell Biol, 2018, 20(5): 620-631.
doi: 10.1038/s41556-018-0093-4 pmid: 29686265 |
[45] | Akhtar J, More P, Albrecht S. ChIP-seq from limited starting material of K562 cells and Drosophila neuroblasts using tagmentation assisted fragmentation approach[J]. Bio-protocol, 2020, 10(4): e3520. |
[46] |
Consortium ENCOEEP. An integrated encyclopedia of DNA elements in the human genome[J]. Nature, 2012, 489(7414): 57-74.
doi: 10.1038/nature11247 |
[47] |
Murphy TW, Hsieh YP, Ma S, et al. Microfluidic low-input fluidized-bed enabled ChIP-seq device for automated and parallel analysis of histone modifications[J]. Anal Chem, 2018, 90(12): 7666-7674.
doi: 10.1021/acs.analchem.8b01541 pmid: 29842781 |
[48] |
Ma S, Hsieh YP, Ma J, et al. Low-input and multiplexed microfluidic assay reveals epigenomic variation across cerebellum and prefrontal cortex[J]. Sci Adv, 2018, 4(4): eaar8187.
doi: 10.1126/sciadv.aar8187 URL |
[49] |
Deng CY, Murphy TW, Zhang Q, et al. Multiplexed and ultralow-input ChIP-seq enabled by tagmentation-based indexing and facile microfluidics[J]. Anal Chem, 2020, 92(20): 13661-13666.
doi: 10.1021/acs.analchem.0c02550 URL |
[50] |
Dirks RAM, Thomas PC, Wu HY, et al. A plug and play microfluidic platform for standardized sensitive low-input chromatin immunoprecipitation[J]. Genome Res, 2021, 31(5): 919-933.
doi: 10.1101/gr.260745.120 pmid: 33707229 |
[51] |
Wallerman O, Nord H, Bysani M, et al. lobChIP: from cells to sequencing ready ChIP libraries in a single day[J]. Epigenetics Chromatin, 2015, 8: 25.
doi: 10.1186/s13072-015-0017-5 pmid: 26195988 |
[52] |
Zheng XB, Yue SB, Chen HY, et al. Low-cell-number epigenome profiling aids the study of lens aging and hematopoiesis[J]. Cell Rep, 2015, 13(7): 1505-1518.
doi: S2211-1247(15)01143-2 pmid: 26549448 |
[53] |
Motallebipour M, Ameur A, Reddy Bysani MS, et al. Differential binding and co-binding pattern of FOXA1 and FOXA3 and their relation to H3K4me3 in HepG2 cells revealed by ChIP-seq[J]. Genome Biol, 2009, 10(11): R129.
doi: 10.1186/gb-2009-10-11-r129 URL |
[54] |
Aldridge S, Watt S, Quail MA, et al. AHT-ChIP-seq: a completely automated robotic protocol for high-throughput chromatin immunoprecipitation[J]. Genome Biol, 2013, 14(11): R124.
doi: 10.1186/gb-2013-14-11-r124 URL |
[55] |
Verta JP, Barton HJ, Pritchard V, et al. Genetic drift dominates genome-wide regulatory evolution following an ancient whole-genome duplication in Atlantic salmon[J]. Genome Biol Evol, 2021, 13(5): evab059.
doi: 10.1093/gbe/evab059 URL |
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