JoVE 비디오를 활용하시려면 도서관을 통한 기관 구독이 필요합니다. 전체 비디오를 보시려면 로그인하거나 무료 트라이얼을 시작하세요.
* These authors contributed equally
Here, we describe a high-speed magnetic tweezer setup that performs nanomechanical measurements on force-sensitive biomolecules at the maximum rate of 1.2 kHz. We introduce its application to DNA hairpins and SNARE complexes as model systems, but it will be also applicable to other molecules involved in mechanobiological events.
Single-molecule magnetic tweezers (MTs) have served as powerful tools to forcefully interrogate biomolecules, such as nucleic acids and proteins, and are therefore poised to be useful in the field of mechanobiology. Since the method commonly relies on image-based tracking of magnetic beads, the speed limit in recording and analyzing images, as well as the thermal fluctuations of the beads, has long hampered its application in observing small and fast structural changes in target molecules. This article describes detailed methods for the construction and operation of a high-resolution MT setup that can resolve nanoscale, millisecond dynamics of biomolecules and their complexes. As application examples, experiments with DNA hairpins and SNARE complexes (membrane-fusion machinery) are demonstrated, focusing on how their transient states and transitions can be detected in the presence of piconewton-scale forces. We expect that high-speed MTs will continue to enable high-precision nanomechanical measurements on molecules that sense, transmit, and generate forces in cells, and thereby deepen our molecular-level understanding of mechanobiology.
Cells actively sense and respond to mechanical stimuli. In doing so, many biomolecules display force-dependent properties that enable dynamic structural changes. Well-appreciated examples include mechanosensitive ion channels and cytoskeletal elements that provide the cells with key mechanical information from their surrounding environment.
In addition, molecules that show a unique force-bearing nature can also be considered mechanosensitive in a broader sense. For example, local formation and melting of nucleic acid duplexes, as well as higher-order structures such as G-quadruplexes, play crucial roles in replication, transcription, recomb....
All materials and equipment described in this protocol are listed in the Table of Materials. LabVIEW software to operate the high-speed MT setup described below, as well as the MATLAB scripts to analyze sample data, are deposited on GitHub (https://github.com/ShonLab/Magnetic-Tweezers) and publicly available.
1. Construction of apparatus
NOTE: The general principle of the high-speed MT construction is similar to standard, conventional.......
Force calibration
The results from the two force measurement methods (beads' lateral displacement variance and power spectrum analysis) differed by 0-2 pN (Figure 2G). According to the results in Figure 2F, we can reliably reach up to 30 pN with regular neodymium magnets.
Two-state transitions of an 8 bp DNA hairpin
We first investigated the nanomechanics of a short DNA hairpin (
In this work, we introduced a single-molecule force spectroscopy setup that can observe structural changes of biomolecules at high spatiotemporal precision. The high-speed CMOS camera used acquires 1,200 frames s−1 at 1,280 x 1,024 resolution, enabling 1.2 kHz bead tracking. However, the speed of measurements is currently limited by the bead tracking software, so the ROI is typically reduced to smaller areas in high-speed measurements. The high power of the SLD provides a bright illumination that is crit.......
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (NRF-2022R1C1C1012176, NRF-2021R1A4A1031754, and NRF- 2021R1A6A1A10042944). S.-H.R. was supported by the NRF grant (2021R1C1C2009717).
....Name | Company | Catalog Number | Comments |
Materials for construct synthesis | |||
Agarose gel electrophoresis system | Advance | Mupid-2plus | |
DNA ladder | Bioneer | D-1037 | |
nTaq polymerase | Enzynomics | P050A | |
PCR purification kit | LaboPass | CMR0112 | |
PEGylated SMCC crosslinker / SM(PEG)2 | ThermoFisher Scientific | 22102 | For SNARE–DNA coupling |
Primer B | Bioneer | 5'-Biotin/TCGCCACCATCATTTCCA-3' | For 5-kbp force calibration construct and DNA handles |
Primer B_hp | IDT | 5'-Biotin/TTTTTTTTTTGTTCTCTATTT TTTTAGAGAAC /AP site/ /AP site/ TCGCCACCATCATTTCCA-3' | For hairpin construct |
Primer N | Bioneer | 5'-C6Amine/CATGTGGGTGACGCGAAA-3' | For DNA handles |
Primer Z | Bioneer | 5'-Azide/TCGCCACCATCATTTCCA-3' | For DNA handles |
Primer Z_5k | Bioneer | 5'-Azide/TTAGAGAGTATGGGTATATGACA TCG-3' | For 5-kbp force calibration construct |
Primer Z_hp | Bioneer | 5'-Azide/GTGGCAGCATGACACC-3' | For hairpin construct |
SYBR Safe DNA Gel Stain | ThermoFisher Scientific | S33102 | |
λ-DNA | Bioneer | D-2510 | Template strand for PCR |
DNA sequences for SNARE proteins | |||
6×His-tagged SNAP-25b (2-206; capitalized) in pET28a | homemade | tggcgaatgggacgcgccctgtagcggcgca ttaagcgcggcgggtgtggtggttacgcgca gcgtgaccgctacacttgccagcgccctagc gcccgctcctttcgctttcttcccttccttt ctcgccacgttcgccggctttccccgtcaag ctctaaatcgggggctccctttagggttccg atttagtgctttacggcacctcgaccccaaa aaacttgattagggtgatggttcacgtagtg ggccatcgccctgatagacggtttttcgccc tttgacgttggagtccacgttctttaatagt ggactcttgttccaaactggaacaacactca accctatctcggtctattcttttgatttata agggattttgccgatttcggcctattggtta aaaaatgagctgatttaacaaaaatttaacg cgaattttaacaaaatattaacgtttacaat ttcaggtggcacttttcggggaaatgtgcgc ggaacccctatttgtttatttttctaaatac attcaaatatgtatccgctcatgaattaatt cttagaaaaactcatcgagcatcaaatgaaa ctgcaatttattcatatcaggattatcaata ccatatttttgaaaaagccgtttctgtaatg aaggagaaaactcaccgaggcagttccatag gatggcaagatcctggtatcggtctgcgatt ccgactcgtccaacatcaatacaacctatta atttcccctcgtcaaaaataaggttatcaag tgagaaatcaccatgagtgacgactgaatcc ggtgagaatggcaaaagtttatgcatttctt tccagacttgttcaacaggccagccattacg ctcgtcatcaaaatcactcgcatcaaccaaa ccgttattcattcgtgattgcgcctgagcga gacgaaatacgcgatcgctgttaaaaggaca attacaaacaggaatcgaatgcaaccggcgc aggaacactgccagcgcatcaacaatatttt cacctgaatcaggatattcttctaatacctg gaatgctgttttcccggggatcgcagtggtg agtaaccatgcatcatcaggagtacggataa aatgcttgatggtcggaagaggcataaattc cgtcagccagtttagtctgaccatctcatct gtaacatcattggcaacgctacctttgccat gtttcagaaacaactctggcgcatcgggctt cccatacaatcgatagattgtcgcacctgat tgcccgacattatcgcgagcccatttatacc catataaatcagcatccatgttggaatttaa tcgcggcctagagcaagacgtttcccgttga atatggctcataacaccccttgtattactgt ttatgtaagcagacagttttattgttcatga ccaaaatcccttaacgtgagttttcgttcca ctgagcgtcagaccccgtagaaaagatcaaa ggatcttcttgagatcctttttttctgcgcg taatctgctgcttgcaaacaaaaaaaccacc gctaccagcggtggtttgtttgccggatcaa gagctaccaactctttttccgaaggtaactg gcttcagcagagcgcagataccaaatactgt ccttctagtgtagccgtagttaggccaccac ttcaagaactctgtagcaccgcctacatacc tcgctctgctaatcctgttaccagtggctgc tgccagtggcgataagtcgtgtcttaccggg ttggactcaagacgatagttaccggataagg cgcagcggtcgggctgaacggggggttcgtg cacacagcccagcttggagcgaacgacctac accgaactgagatacctacagcgtgagctat gagaaagcgccacgcttcccgaagggagaaa ggcggacaggtatccggtaagcggcagggtc ggaacaggagagcgcacgagggagcttcca gggggaaacgcctggtatctttatagtcctgt cgggtttcgccacctctgacttgagcgtcga tttttgtgatgctcgtcaggggggcggagcc tatggaaaaacgccagcaacgcggccttttt acggttcctggccttttgctggccttttgct cacatgttctttcctgcgttatcccctgatt ctgtggataaccgtattaccgcctttgagtg agctgataccgctcgccgcagccgaacgacc gagcgcagcgagtcagtgagcgaggaagcgg aagagcgcctgatgcggtattttctccttac gcatctgtgcggtatttcacaccgcatatat ggtgcactctcagtacaatctgctctgatgc cgcatagttaagccagtatacactccgctat cgctacgtgactgggtcatggctgcgccccg acacccgccaacacccgctgacgcgccctga cgggcttgtctgctcccggcatccgcttaca gacaagctgtgaccgtctccgggagctgcat gtgtcagaggttttcaccgtcatcaccgaaa cgcgcgaggcagctgcggtaaagctcatcag cgtggtcgtgaagcgattcacagatgtctgc ctgttcatccgcgtccagctcgttgagtttc tccagaagcgttaatgtctggcttctgataa agcgggccatgttaagggcggttttttcctg tttggtcactgatgcctccgtgtaaggggga tttctgttcatgggggtaatgataccgatga aacgagagaggatgctcacgatacgggttac tgatgatgaacatgcccggttactggaacgt tgtgagggtaaacaactggcggtatggatgc ggcgggaccagagaaaaatcactcagggtc aatgccagcgcttcgttaatacagatgtaggt gttccacagggtagccagcagcatcctgcga tgcagatccggaacataatggtgcagggcgc tgacttccgcgtttccagactttacgaaaca cggaaaccgaagaccattcatgttgttgctc aggtcgcagacgttttgcagcagcagtcgct tcacgttcgctcgcgtatcggtgattcattc tgctaaccagtaaggcaaccccgccagccta gccgggtcctcaacgacaggagcacgatcat gcgcacccgtggggccgccatgccggcgata atggcctgcttctcgccgaaacgtttggtgg cgggaccagtgacgaaggcttgagcgagggc gtgcaagattccgaataccgcaagcgacagg ccgatcatcgtcgcgctccagcgaaagcggt cctcgccgaaaatgacccagagcgctgccgg cacctgtcctacgagttgcatgataaagaag acagtcataagtgcggcgacgatagtcatgc cccgcgcccaccggaaggagctgactgggtt gaaggctctcaagggcatcggtcgagatccc ggtgcctaatgagtgagctaacttacattaa ttgcgttgcgctcactgcccgctttccagtc gggaaacctgtcgtgccagctgcattaatga atcggccaacgcgcggggagaggcggtttgc gtattgggcgccagggtggtttttcttttca ccagtgagacgggcaacagctgattgccctt caccgcctggccctgagagagttgcagcaag cggtccacgctggtttgccccagcaggcgaa aatcctgtttgatggtggttaacggcgggat ataacatgagctgtcttcggtatcgtcgtat cccactaccgagatatccgcaccaacgcgca gcccggactcggtaatggcgcgcattgcgcc cagcgccatctgatcgttggcaaccagcatc gcagtgggaacgatgccctcattcagcattt gcatggtttgttgaaaaccggacatggcact ccagtcgccttcccgttccgctatcggctga atttgattgcgagtgagatatttatgccagc cagccagacgcagacgcgccgagacagaa cttaatgggcccgctaacagcgcgatttgctgg tgacccaatgcgaccagatgctccacgccca gtcgcgtaccgtcttcatgggagaaaataat actgttgatgggtgtctggtcagagacatca agaaataacgccggaacattagtgcaggcag cttccacagcaatggcatcctggtcatccag cggatagttaatgatcagcccactgacgcgt tgcgcgagaagattgtgcaccgccgctttac aggcttcgacgccgcttcgttctaccatcga caccaccacgctggcacccagttgatcggcg cgagatttaatcgccgcgacaatttgcgacg gcgcgtgcagggccagactggaggtggcaac gccaatcagcaacgactgtttgcccgccagt tgttgtgccacgcggttgggaatgtaattca gctccgccatcgccgcttccactttttcccg cgttttcgcagaaacgtggctggcctggttc accacgcgggaaacggtctgataagagacac cggcatactctgcgacatcgtataacgttac tggtttcacattcaccaccctgaattgactc tcttccgggcgctatcatgccataccgcgaa aggttttgcgccattcgatggtgtccgggat ctcgacgctctcccttatgcgactcctgcat taggaagcagcccagtagtaggttgaggccg ttgagcaccgccgccgcaaggaatggtgcat gcaaggagatggcgcccaacagtcccccggc cacggggcctgccaccatacccacgccgaaa caagcgctcatgagcccgaagtggcgagccc gatcttccccatcggtgatgtcggcgatata ggcgccagcaaccgcacctgtggcgccggtg atgccggccacgatgcgtccggcgtagagga tcgagatctcgatcccgcgaaattaatacga ctcactataggggaattgtgagcggataaca attcccctctagaaataattttgtttaactt taagaaggagatataccATGGGCAGC AGCCATCATCATCATCATCACA GCAGCGGCCTGGTGCCGCGC GGCAGCCATACTAGCGGAGAT ATCGCCGAGGACGCAGACAT GCGCAATGAGCTGGAGGAGA TGCAGAGGAGGGCTGACCAG CTGGCTGATGAGTCCCTGGA AAGCACCCGTCGCATGCTGC AGCTGGTTGAAGAGAGTAAA GATGCTGGCATCAGGACTTT GGTTATGTTGGATGAGCAAG GCGAACAACTGGAACGCATT GAGGAAGGGATGGACCAAAT CAATAAGGACATGAAAGAAG CAGAAAAGAATTTGACGGAC CTAGGAAAATTCGCCGGCCT TGCCGTGGCCCCCGCCAAC AAGCTTAAATCCAGTGATGC TTACAAAAAAGCCTGGGGC AATAATCAGGATGGAGTAGT GGCCAGCCAGCCTGCCCG TGTGGTGGATGAACGGGAG CAGATGGCCATCAGTGGTG GCTTCATCCGCAGGGTAAC AAATGATGCCCGGGAAAAT GAGATGGATGAGAACCTG GAGCAGGTGAGCGGCATC ATCGGAAACCTCCGCCAC ATGGCTCTAGACATGGGCA ATGAGATTGACACCCAGA ATCGCCAGATCGACAGGA TCATGGAGAAGGCTGATT CCAACAAAACCAGAATTG ATGAAGCCAACCAACGTG CAACAAAGATGCTGGGAA GTGGTTAAggatccgaattcgag ctccgtcgacaagcttgcggccgcactc gagcaccaccaccaccaccactgagat ccggctgctaacaaagcccgaaagga agctgagttggctgctgccaccgctgag caataactagcataaccccttggggcct ctaaacgggtcttgaggggttttttgctga aaggaggaactatatccggat | |
6×His-tagged VAMP2 (2-97, L32C/I97C; capitalized) in pET28a | homemade | tggcgaatgggacgcgccctgtagcggcgca ttaagcgcggcgggtgtggtggttacgcgca gcgtgaccgctacacttgccagcgccctagc gcccgctcctttcgctttcttcccttccttt ctcgccacgttcgccggctttccccgtcaag ctctaaatcgggggctccctttagggttccg atttagtgctttacggcacctcgaccccaaa aaacttgattagggtgatggttcacgtagtg ggccatcgccctgatagacggtttttcgccc tttgacgttggagtccacgttctttaatagt ggactcttgttccaaactggaacaacactca accctatctcggtctattcttttgatttata agggattttgccgatttcggcctattggtta aaaaatgagctgatttaacaaaaatttaacg cgaattttaacaaaatattaacgtttacaat ttcaggtggcacttttcggggaaatgtgcgc ggaacccctatttgtttatttttctaaatac attcaaatatgtatccgctcatgaattaatt cttagaaaaactcatcgagcatcaaatgaaa ctgcaatttattcatatcaggattatcaata ccatatttttgaaaaagccgtttctgtaatg aaggagaaaactcaccgaggcagttccatag gatggcaagatcctggtatcggtctgcgatt ccgactcgtccaacatcaatacaacctatta atttcccctcgtcaaaaataaggttatcaag tgagaaatcaccatgagtgacgactgaatcc ggtgagaatggcaaaagtttatgcatttctt tccagacttgttcaacaggccagccattacg ctcgtcatcaaaatcactcgcatcaaccaaa ccgttattcattcgtgattgcgcctgagcga gacgaaatacgcgatcgctgttaaaaggaca attacaaacaggaatcgaatgcaaccggcgc aggaacactgccagcgcatcaacaatatttt cacctgaatcaggatattcttctaatacctg gaatgctgttttcccggggatcgcagtggtg agtaaccatgcatcatcaggagtacggataa aatgcttgatggtcggaagaggcataaattc cgtcagccagtttagtctgaccatctcatct gtaacatcattggcaacgctacctttgccat gtttcagaaacaactctggcgcatcgggctt cccatacaatcgatagattgtcgcacctgat tgcccgacattatcgcgagcccatttatacc catataaatcagcatccatgttggaatttaa tcgcggcctagagcaagacgtttcccgttga atatggctcataacaccccttgtattactgt ttatgtaagcagacagttttattgttcatga ccaaaatcccttaacgtgagttttcgttcca ctgagcgtcagaccccgtagaaaagatcaaa ggatcttcttgagatcctttttttctgcgcg taatctgctgcttgcaaacaaaaaaaccacc gctaccagcggtggtttgtttgccggatcaa gagctaccaactctttttccgaaggtaactg gcttcagcagagcgcagataccaaatactgt ccttctagtgtagccgtagttaggccaccac ttcaagaactctgtagcaccgcctacatacc tcgctctgctaatcctgttaccagtggctgc tgccagtggcgataagtcgtgtcttaccggg ttggactcaagacgatagttaccggataagg cgcagcggtcgggctgaacggggggttcgtg cacacagcccagcttggagcgaacgacctac accgaactgagatacctacagcgtgagctatg agaaagcgccacgcttcccgaagggagaaa ggcggacaggtatccggtaagcggcagggtc ggaacaggagagcgcacgagggagcttcca gggggaaacgcctggtatctttatagtcctgt cgggtttcgccacctctgacttgagcgtcga tttttgtgatgctcgtcaggggggcggagcc tatggaaaaacgccagcaacgcggccttttt acggttcctggccttttgctggccttttgct cacatgttctttcctgcgttatcccctgatt ctgtggataaccgtattaccgcctttgagtg agctgataccgctcgccgcagccgaacgacc gagcgcagcgagtcagtgagcgaggaagc ggaagagcgcctgatgcggtattttctccttac gcatctgtgcggtatttcacaccgcatatat ggtgcactctcagtacaatctgctctgatgc cgcatagttaagccagtatacactccgctat cgctacgtgactgggtcatggctgcgccccg acacccgccaacacccgctgacgcgccctga cgggcttgtctgctcccggcatccgcttaca gacaagctgtgaccgtctccgggagctgcat gtgtcagaggttttcaccgtcatcaccgaaa cgcgcgaggcagctgcggtaaagctcatcag cgtggtcgtgaagcgattcacagatgtctgc ctgttcatccgcgtccagctcgttgagtttc tccagaagcgttaatgtctggcttctgataa agcgggccatgttaagggcggttttttcctg tttggtcactgatgcctccgtgtaaggggga tttctgttcatgggggtaatgataccgatga aacgagagaggatgctcacgatacgggttac tgatgatgaacatgcccggttactggaacgt tgtgagggtaaacaactggcggtatggatgc ggcgggaccagagaaaaatcactcagggtc aatgccagcgcttcgttaatacagatgtaggt gttccacagggtagccagcagcatcctgcga tgcagatccggaacataatggtgcagggcgc tgacttccgcgtttccagactttacgaaaca cggaaaccgaagaccattcatgttgttgctc aggtcgcagacgttttgcagcagcagtcgct tcacgttcgctcgcgtatcggtgattcattc tgctaaccagtaaggcaaccccgccagccta gccgggtcctcaacgacaggagcacgatcat gcgcacccgtggggccgccatgccggcgata atggcctgcttctcgccgaaacgtttggtgg cgggaccagtgacgaaggcttgagcgagggc gtgcaagattccgaataccgcaagcgacagg ccgatcatcgtcgcgctccagcgaaagcggt cctcgccgaaaatgacccagagcgctgccgg cacctgtcctacgagttgcatgataaagaag acagtcataagtgcggcgacgatagtcatgc cccgcgcccaccggaaggagctgactgggtt gaaggctctcaagggcatcggtcgagatccc ggtgcctaatgagtgagctaacttacattaa ttgcgttgcgctcactgcccgctttccagtc gggaaacctgtcgtgccagctgcattaatga atcggccaacgcgcggggagaggcggtttgc gtattgggcgccagggtggtttttcttttca ccagtgagacgggcaacagctgattgccctt caccgcctggccctgagagagttgcagcaag cggtccacgctggtttgccccagcaggcgaa aatcctgtttgatggtggttaacggcgggat ataacatgagctgtcttcggtatcgtcgtat cccactaccgagatatccgcaccaacgcgca gcccggactcggtaatggcgcgcattgcgcc cagcgccatctgatcgttggcaaccagcatc gcagtgggaacgatgccctcattcagcattt gcatggtttgttgaaaaccggacatggcact ccagtcgccttcccgttccgctatcggctga atttgattgcgagtgagatatttatgccagc cagccagacgcagacgcgccgagacagaa cttaatgggcccgctaacagcgcgatttgctgg tgacccaatgcgaccagatgctccacgccca gtcgcgtaccgtcttcatgggagaaaataat actgttgatgggtgtctggtcagagacatca agaaataacgccggaacattagtgcaggcag cttccacagcaatggcatcctggtcatccag cggatagttaatgatcagcccactgacgcgt tgcgcgagaagattgtgcaccgccgctttac aggcttcgacgccgcttcgttctaccatcga caccaccacgctggcacccagttgatcggcg cgagatttaatcgccgcgacaatttgcgacg gcgcgtgcagggccagactggaggtggcaac gccaatcagcaacgactgtttgcccgccagt tgttgtgccacgcggttgggaatgtaattca gctccgccatcgccgcttccactttttcccg cgttttcgcagaaacgtggctggcctggttc accacgcgggaaacggtctgataagagacac cggcatactctgcgacatcgtataacgttac tggtttcacattcaccaccctgaattgactc tcttccgggcgctatcatgccataccgcgaa aggttttgcgccattcgatggtgtccgggat ctcgacgctctcccttatgcgactcctgcat taggaagcagcccagtagtaggttgaggccg ttgagcaccgccgccgcaaggaatggtgcat gcaaggagatggcgcccaacagtcccccggc cacggggcctgccaccatacccacgccgaaa caagcgctcatgagcccgaagtggcgagccc gatcttccccatcggtgatgtcggcgatata ggcgccagcaaccgcacctgtggcgccggtg atgccggccacgatgcgtccggcgtagagga tcgagatctcgatcccgcgaaattaatacga ctcactataggggaattgtgagcggataaca attcccctctagaaataattttgtttaactt taagaaggagatataccATGGGCAGC AGCCATCATCATCATCATCAC AGCAGCGGCCTGGTGCCGC GCGGCAGCCATATGGCAGAT CTCTCGGCTACCGCTGCCAC CGTCCCGCCTGCCGCCCCG GCCGGCGAGGGTGGCCCCC CTGCACCTCCTCCAAATCTTA CCAGTAACAGGAGATGCCAG CAGACCCAGGCCCAGGTGG ATGAGGTGGTGGACATCATG AGGGTGAATGTGGACAAGGT CCTGGAGCGAGACCAGAAG CTATCGGAACTGGATGATCG CGCAGATGCCCTCCAGGCA GGGGCCTCCCAGTTTGAAA CAAGTGCAGCCAAGCTCAA GCGCAAATACTGGTGGAAA AACCTCAAGATGATGTGCTA Aggatccgaattcgagctccgtcg acaagcttgcggccgcactcgagcaccacca ccaccaccactgagatccggctgctaacaaa gcccgaaaggaagctgagttggctgctgcca ccgctgagcaataactagcataaccccttgg ggcctctaaacgggtcttgaggggttttttg ctgaaaggaggaactatatccggat | |
6×His-tagged ΔN-VAMP2 (49–96; capitalized) and Syntaxin-1A (191–267, I202C/I266C; capitalized) in pETDuet-1 | homemade | ggggaattgtgagcggataacaattcccctc tagaaataattttgtttaactttaagaagga gatataccATGGGCAGCAGCCATCA TCATCATCATCACAGCAGCGG CCTGGAAGTTCTGTTCCAGGG GCCCGGTAATGTGGACAAGGT CCTGGAGCGAGACCAGAAGCT ATCGGAACTGGATGATCGCGC AGATGCCCTCCAGGCAGGGGC CTCCCAGTTTGAAACAAGTGC AGCCAAGCTCAAGCGCAAATAC TGGTGGAAAAACCTCAAGATGAT GTAAgcggccgcataatgcttaagtcgaaca gaaagtaatcgtattgtacacggccgcataa tcgaaattaatacgactcactataggggaat tgtgagcggataacaattccccatcttagta tattagttaagtataagaaggagatatacat ATGGCCCTCAGTGAGATCGAGA CCAGGCACAGTGAGTGCATC AAGTTGGAGAACAGCATCCG GGAGCTACACGATATGTTCAT GGACATGGCCATGCTGGTGG AGAGCCAGGGGGAGATGATT GACAGGATCGAGTACAATGTG GAACACGCTGTGGACTACGTG GAGAGGGCCGTGTCTGACACC AAGAAGGCCGTCAAGTACCAG AGCAAGGCACGCAGGAAGAA GTGCATGATCTAActcgagtc tggtaaagaaaccgctgctgcgaaatttgaa cgccagcacatggactcgtctactagcgcag cttaattaacctaggctgctgccaccgctga gcaataactagcataaccccttggggcctct aaacgggtcttgaggggttttttgctgaaag gaggaactatatccggattggcgaatgggac gcgccctgtagcggcgcattaagcgcggcgg gtgtggtggttacgcgcagcgtgaccgctac acttgccagcgccctagcgcccgctcctttc gctttcttcccttcctttctcgccacgttcg ccggctttccccgtcaagctctaaatcgggg gctccctttagggttccgatttagtgcttta cggcacctcgaccccaaaaaacttgattagg gtgatggttcacgtagtgggccatcgccctg atagacggtttttcgccctttgacgttggag tccacgttctttaatagtggactcttgttcc aaactggaacaacactcaaccctatctcggt ctattcttttgatttataagggattttgccg atttcggcctattggttaaaaaatgagctga tttaacaaaaatttaacgcgaattttaacaa aatattaacgtttacaatttctggcggcacg atggcatgagattatcaaaaaggatcttcac ctagatccttttaaattaaaaatgaagtttt aaatcaatctaaagtatatatgagtaaactt ggtctgacagttaccaatgcttaatcagtga ggcacctatctcagcgatctgtctatttcgt tcatccatagttgcctgactccccgtcgtgt agataactacgatacgggagggcttaccatc tggccccagtgctgcaatgataccgcgagac ccacgctcaccggctccagatttatcagcaa taaaccagccagccggaagggccgagcgca gaagtggtcctgcaactttatccgcctccatc cagtctattaattgttgccgggaagctagag taagtagttcgccagttaatagtttgcgcaa cgttgttgccattgctacaggcatcgtggtg tcacgctcgtcgtttggtatggcttcattca gctccggttcccaacgatcaaggcgagttac atgatcccccatgttgtgcaaaaaagcggtt agctccttcggtcctccgatcgttgtcagaa gtaagttggccgcagtgttatcactcatggt tatggcagcactgcataattctcttactgtc atgccatccgtaagatgcttttctgtgactg gtgagtactcaaccaagtcattctgagaata gtgtatgcggcgaccgagttgctcttgcccg gcgtcaatacgggataataccgcgccacata gcagaactttaaaagtgctcatcattggaaa acgttcttcggggcgaaaactctcaaggatc ttaccgctgttgagatccagttcgatgtaac ccactcgtgcacccaactgatcttcagcatc ttttactttcaccagcgtttctgggtgagcaaa aacaggaaggcaaaatgccgcaaaaaagg gaataagggcgacacggaaatgttgaatact catactcttcctttttcaatcatgattgaag catttatcagggttattgtctcatgagcgga tacatatttgaatgtatttagaaaaataaac aaataggtcatgaccaaaatcccttaacgtg agttttcgttccactgagcgtcagaccccgt agaaaagatcaaaggatcttcttgagatcct ttttttctgcgcgtaatctgctgcttgcaaa caaaaaaaccaccgctaccagcggtggtttg tttgccggatcaagagctaccaactcttttt ccgaaggtaactggcttcagcagagcgcaga taccaaatactgtccttctagtgtagccgta gttaggccaccacttcaagaactctgtagca ccgcctacatacctcgctctgctaatcctgt taccagtggctgctgccagtggcgataagtc gtgtcttaccgggttggactcaagacgatag ttaccggataaggcgcagcggtcgggctgaa cggggggttcgtgcacacagcccagcttgga gcgaacgacctacaccgaactgagataccta cagcgtgagctatgagaaagcgccacgcttccc gaagggagaaaggcggacaggtatccggta agcggcagggtcggaacaggagagcgcac gagggagcttccagggggaaacgcctggtatc tttatagtcctgtcgggtttcgccacctctg acttgagcgtcgatttttgtgatgctcgtca ggggggcggagcctatggaaaaacgccagc aacgcggcctttttacggttcctggccttttg ctggccttttgctcacatgttctttcctgcg ttatcccctgattctgtggataaccgtatta ccgcctttgagtgagctgataccgctcgccgc agccgaacgaccgagcgcagcgagtcagtg agcgaggaagcggaagagcgcctgatgcgg tattttctccttacgcatctgtgcggtatttc acaccgcatatatggtgcactctcagtacaa tctgctctgatgccgcatagttaagccagta tacactccgctatcgctacgtgactgggtca tggctgcgccccgacacccgccaacacccgc tgacgcgccctgacgggcttgtctgctcccg gcatccgcttacagacaagctgtgaccgtct ccgggagctgcatgtgtcagaggttttcacc gtcatcaccgaaacgcgcgaggcagctgcgg taaagctcatcagcgtggtcgtgaagcgatt cacagatgtctgcctgttcatccgcgtccag ctcgttgagtttctccagaagcgttaatgtc tggcttctgataaagcgggccatgttaaggg cggttttttcctgtttggtcactgatgcctc cgtgtaagggggatttctgttcatgggggta atgataccgatgaaacgagagaggatgctca cgatacgggttactgatgatgaacatgcccg gttactggaacgttgtgagggtaaacaactg gcggtatggatgcggcgggaccagagaaaaa tcactcagggtcaatgccagcgcttcgttaa tacagatgtaggtgttccacagggtagccag cagcatcctgcgatgcagatccggaacataa tggtgcagggcgctgacttccgcgtttccag actttacgaaacacggaaaccgaagaccatt catgttgttgctcaggtcgcagacgttttgc agcagcagtcgcttcacgttcgctcgcgtat cggtgattcattctgctaaccagtaaggcaa ccccgccagcctagccgggtcctcaacgaca ggagcacgatcatgctagtcatgccccgcgc ccaccggaaggagctgactgggttgaaggct ctcaagggcatcggtcgagatcccggtgcct aatgagtgagctaacttacattaattgcgtt gcgctcactgcccgctttccagtcgggaaac ctgtcgtgccagctgcattaatgaatcggcc aacgcgcggggagaggcggtttgcgtattgg gcgccagggtggtttttcttttcaccagtga gacgggcaacagctgattgcccttcaccgcc tggccctgagagagttgcagcaagcggtcca cgctggtttgccccagcaggcgaaaatcctg tttgatggtggttaacggcgggatataacat gagctgtcttcggtatcgtcgtatcccacta ccgagatgtccgcaccaacgcgcagcccgga ctcggtaatggcgcgcattgcgcccagcgcc atctgatcgttggcaaccagcatcgcagtgg gaacgatgccctcattcagcatttgcatggt ttgttgaaaaccggacatggcactccagtcg ccttcccgttccgctatcggctgaatttgat tgcgagtgagatatttatgccagccagccag acgcagacgcgccgagacagaacttaatggg cccgctaacagcgcgatttgctggtgaccca atgcgaccagatgctccacgcccagtcgcgt accgtcttcatgggagaaaataatactgttg atgggtgtctggtcagagacatcaagaaata acgccggaacattagtgcaggcagcttccac agcaatggcatcctggtcatccagcggatag ttaatgatcagcccactgacgcgttgcgcga gaagattgtgcaccgccgctttacaggcttc gacgccgcttcgttctaccatcgacaccacc acgctggcacccagttgatcggcgcgagatt taatcgccgcgacaatttgcgacggcgcgtg cagggccagactggaggtggcaacgccaatc agcaacgactgtttgcccgccagttgttgtg ccacgcggttgggaatgtaattcagctccgc catcgccgcttccactttttcccgcgttttc gcagaaacgtggctggcctggttcaccacgc gggaaacggtctgataagagacaccggcata ctctgcgacatcgtataacgttactggtttc acattcaccaccctgaattgactctcttccg ggcgctatcatgccataccgcgaaaggtttt gcgccattcgatggtgtccgggatctcgacg ctctcccttatgcgactcctgcattaggaag cagcccagtagtaggttgaggccgttgagca ccgccgccgcaaggaatggtgcatgcaagga gatggcgcccaacagtcccccggccacgggg cctgccaccatacccacgccgaaacaagcgc tcatgagcccgaagtggcgagcccgatcttc cccatcggtgatgtcggcgatataggcgcca gcaaccgcacctgtggcgccggtgatgccgg ccacgatgcgtccggcgtagaggatcgagat cgatctcgatcccgcgaaattaatacgactc actata | |
SNAP-25b (1–206, all C to A; capitalized) in pET28a | homemade | tggcgaatgggacgcgccctgtagcggcgca ttaagcgcggcgggtgtggtggttacgcgca gcgtgaccgctacacttgccagcgccctagc gcccgctcctttcgctttcttcccttccttt ctcgccacgttcgccggctttccccgtcaag ctctaaatcgggggctccctttagggttccg atttagtgctttacggcacctcgaccccaaa aaacttgattagggtgatggttcacgtagtg ggccatcgccctgatagacggtttttcgccc tttgacgttggagtccacgttctttaatagt ggactcttgttccaaactggaacaacactca accctatctcggtctattcttttgatttata agggattttgccgatttcggcctattggtta aaaaatgagctgatttaacaaaaatttaacg cgaattttaacaaaatattaacgtttacaat ttcaggtggcacttttcggggaaatgtgcgc ggaacccctatttgtttatttttctaaatac attcaaatatgtatccgctcatgaattaatt cttagaaaaactcatcgagcatcaaatgaaa ctgcaatttattcatatcaggattatcaata ccatatttttgaaaaagccgtttctgtaatg aaggagaaaactcaccgaggcagttccatag gatggcaagatcctggtatcggtctgcgatt ccgactcgtccaacatcaatacaacctatta atttcccctcgtcaaaaataaggttatcaag tgagaaatcaccatgagtgacgactgaatcc ggtgagaatggcaaaagtttatgcatttctt tccagacttgttcaacaggccagccattacg ctcgtcatcaaaatcactcgcatcaaccaaa ccgttattcattcgtgattgcgcctgagcga gacgaaatacgcgatcgctgttaaaaggaca attacaaacaggaatcgaatgcaaccggcgc aggaacactgccagcgcatcaacaatatttt cacctgaatcaggatattcttctaatacctg gaatgctgttttcccggggatcgcagtggtg agtaaccatgcatcatcaggagtacggataa aatgcttgatggtcggaagaggcataaattc cgtcagccagtttagtctgaccatctcatct gtaacatcattggcaacgctacctttgccat gtttcagaaacaactctggcgcatcgggctt cccatacaatcgatagattgtcgcacctgat tgcccgacattatcgcgagcccatttatacc catataaatcagcatccatgttggaatttaa tcgcggcctagagcaagacgtttcccgttga atatggctcataacaccccttgtattactgt ttatgtaagcagacagttttattgttcatga ccaaaatcccttaacgtgagttttcgttcca ctgagcgtcagaccccgtagaaaagatcaaa ggatcttcttgagatcctttttttctgcgcg taatctgctgcttgcaaacaaaaaaaccacc gctaccagcggtggtttgtttgccggatcaa gagctaccaactctttttccgaaggtaactg gcttcagcagagcgcagataccaaatactgt ccttctagtgtagccgtagttaggccaccac ttcaagaactctgtagcaccgcctacatacc tcgctctgctaatcctgttaccagtggctgc tgccagtggcgataagtcgtgtcttaccggg ttggactcaagacgatagttaccggataagg cgcagcggtcgggctgaacggggggttcgtg cacacagcccagcttggagcgaacgacctac accgaactgagatacctacagcgtgagctatg agaaagcgccacgcttcccgaagggagaaa ggcggacaggtatccggtaagcggcagggtc ggaacaggagagcgcacgagggagcttcc agggggaaacgcctggtatctttatagtcctgt cgggtttcgccacctctgacttgagcgtcga tttttgtgatgctcgtcaggggggcggagcc tatggaaaaacgccagcaacgcggccttttt acggttcctggccttttgctggccttttgct cacatgttctttcctgcgttatcccctgatt ctgtggataaccgtattaccgcctttgagtg agctgataccgctcgccgcagccgaacgacc gagcgcagcgagtcagtgagcgaggaagc ggaagagcgcctgatgcggtattttctccttac gcatctgtgcggtatttcacaccgcatatat ggtgcactctcagtacaatctgctctgatgc cgcatagttaagccagtatacactccgctat cgctacgtgactgggtcatggctgcgccccg acacccgccaacacccgctgacgcgccctga cgggcttgtctgctcccggcatccgcttaca gacaagctgtgaccgtctccgggagctgcat gtgtcagaggttttcaccgtcatcaccgaaa cgcgcgaggcagctgcggtaaagctcatcag cgtggtcgtgaagcgattcacagatgtctgc ctgttcatccgcgtccagctcgttgagtttc tccagaagcgttaatgtctggcttctgataa agcgggccatgttaagggcggttttttcctg tttggtcactgatgcctccgtgtaaggggga tttctgttcatgggggtaatgataccgatga aacgagagaggatgctcacgatacgggttac tgatgatgaacatgcccggttactggaacgt tgtgagggtaaacaactggcggtatggatgc ggcgggaccagagaaaaatcactcagggtc aatgccagcgcttcgttaatacagatgtaggt gttccacagggtagccagcagcatcctgcga tgcagatccggaacataatggtgcagggcgc tgacttccgcgtttccagactttacgaaaca cggaaaccgaagaccattcatgttgttgctc aggtcgcagacgttttgcagcagcagtcgct tcacgttcgctcgcgtatcggtgattcattc tgctaaccagtaaggcaaccccgccagccta gccgggtcctcaacgacaggagcacgatcat gcgcacccgtggggccgccatgccggcgata atggcctgcttctcgccgaaacgtttggtgg cgggaccagtgacgaaggcttgagcgagggc gtgcaagattccgaataccgcaagcgacagg ccgatcatcgtcgcgctccagcgaaagcggt cctcgccgaaaatgacccagagcgctgccgg cacctgtcctacgagttgcatgataaagaag acagtcataagtgcggcgacgatagtcatgc cccgcgcccaccggaaggagctgactgggtt gaaggctctcaagggcatcggtcgagatccc ggtgcctaatgagtgagctaacttacattaa ttgcgttgcgctcactgcccgctttccagtc gggaaacctgtcgtgccagctgcattaatga atcggccaacgcgcggggagaggcggtttgc gtattgggcgccagggtggtttttcttttca ccagtgagacgggcaacagctgattgccctt caccgcctggccctgagagagttgcagcaag cggtccacgctggtttgccccagcaggcgaa aatcctgtttgatggtggttaacggcgggat ataacatgagctgtcttcggtatcgtcgtat cccactaccgagatatccgcaccaacgcgca gcccggactcggtaatggcgcgcattgcgcc cagcgccatctgatcgttggcaaccagcatc gcagtgggaacgatgccctcattcagcattt gcatggtttgttgaaaaccggacatggcact ccagtcgccttcccgttccgctatcggctga atttgattgcgagtgagatatttatgccagc cagccagacgcagacgcgccgagacagaa cttaatgggcccgctaacagcgcgatttgctgg tgacccaatgcgaccagatgctccacgccca gtcgcgtaccgtcttcatgggagaaaataat actgttgatgggtgtctggtcagagacatca agaaataacgccggaacattagtgcaggcag cttccacagcaatggcatcctggtcatccag cggatagttaatgatcagcccactgacgcgt tgcgcgagaagattgtgcaccgccgctttac aggcttcgacgccgcttcgttctaccatcga caccaccacgctggcacccagttgatcggcg cgagatttaatcgccgcgacaatttgcgacg gcgcgtgcagggccagactggaggtggcaac gccaatcagcaacgactgtttgcccgccagt tgttgtgccacgcggttgggaatgtaattca gctccgccatcgccgcttccactttttcccg cgttttcgcagaaacgtggctggcctggttc accacgcgggaaacggtctgataagagacac cggcatactctgcgacatcgtataacgttac tggtttcacattcaccaccctgaattgactc tcttccgggcgctatcatgccataccgcgaa aggttttgcgccattcgatggtgtccgggat ctcgacgctctcccttatgcgactcctgcat taggaagcagcccagtagtaggttgaggccg ttgagcaccgccgccgcaaggaatggtgcat gcaaggagatggcgcccaacagtcccccggc cacggggcctgccaccatacccacgccgaaa caagcgctcatgagcccgaagtggcgagccc gatcttccccatcggtgatgtcggcgatata ggcgccagcaaccgcacctgtggcgccggtg atgccggccacgatgcgtccggcgtagagga tcgagatctcgatcccgcgaaattaatacga ctcactataggggaattgtgagcggataaca attcccctctagaaataattttgtttaactt taagaaggagatataccATGGCCGA GGACGCAGACATGCGCAATG AGCTGGAGGAGATGCAGAGG AGGGCTGACCAGCTGGCTGA TGAGTCCCTGGAAAGCACCC GTCGCATGCTGCAGCTGGTT GAAGAGAGTAAAGATGCTGG CATCAGGACTTTGGTTATGTT GGATGAGCAAGGCGAACAAC TGGAACGCATTGAGGAAGGG ATGGACCAAATCAATAAGGAC ATGAAAGAAGCAGAAAAGAAT TTGACGGACCTAGGAAAATTC GCCGGCCTTGCCGTGGCCCC CGCCAACAAGCTTAAATCCAG TGATGCTTACAAAAAAGCCTG GGGCAATAATCAGGATGGAGT AGTGGCCAGCCAGCCTGCCC GTGTGGTGGATGAACGGGAG CAGATGGCCATCAGTGGTGGC TTCATCCGCAGGGTAACAAAT GATGCCCGGGAAAATGAGATG GATGAGAACCTGGAGCAGGT GAGCGGCATCATCGGAAACCT CCGCCACATGGCTCTAGACAT GGGCAATGAGATTGACACCCA GAATCGCCAGATCGACAGGAT CATGGAGAAGGCTGATTCCAA CAAAACCAGAATTGATGAAGC CAACCAACGTGCAACAAAGAT GCTGGGAAGTGGTTAA ctcgagcaccaccaccaccaccactgag atccggctgctaacaaagcccgaaagga agctgagttggctgctgccaccgctgagc aataactagcataaccccttggggcctc taaacgggtcttgaggggttttttgctgaa aggaggaactatatccggat | |
Materials for protein purificaiton | |||
2-Mercaptoethanol | SIGMA | M3148-25ML | |
Agar | LPS Solution | AGA500 | |
Ampicillin, Sodium salt | PLS | AC1043-005-00 | |
Chloramphenicol | PLS | CR1023-050-00 | |
Competent cells (E. coli) | Novagen | 70956 | Rosetta(DE3)pLysS |
Glycerol | SIGMA | G5516-500ML | |
HEPES | SIGMA | H4034-100G | |
Hydrochloric acid / HCl | SIGMA | 320331-500ML | |
Imidazole | SIGMA | I2399-100G | |
Isopropyl β-D-1-thiogalactopyranoside / IPTG | SIGMA | 10724815001 | |
Kanamycin Sulfate | PLS | KC1001-005-02 | |
Luria-Bertani (LB) Broth | LPS Solution | LB-05 | |
Ni-NTA resin | Qiagen | 30210 | |
PD MiniTrap G-25 (desalting column) | Cytiva | GE28-9180-07 | For instructions, see: https://www.cytivalifesciences.com/en/us/shop/chromatography/prepacked-columns/desalting-and-buffer-exchange/pd-minitrap-desalting-columns-with-sephadex-g-25-resin-p-06174 |
Phenylmethylsulfonyl fluoride / PMSF | ThermoFisher Scientific | 36978 | |
Plasmids for SNARE proteins | cloned in house | N/A | Available upon request |
Protease inhibitor cocktail | genDEPOT | P3100 | |
Sodium chloride | SIGMA | S5886-500G | |
Sodium phosphate dibasic / Na2HPO4 | SIGMA | S7907-100G | |
Sodium phosphate monobasic / NaH2PO4 | SIGMA | S3139-250G | |
Tris(2-carboxyethyl)phosphine / TCEP | SIGMA | C4706-2G | |
Trizma base | SIGMA | T1503-250G | |
Materials for sample assembly | |||
Biotin-PEG-SVA | LAYSAN BIO | BIO-PEG-SVA-5K-100MG & MPEG-SVA-5K-1g | For PEGylation |
Dibenzocyclooctyne-amine / DBCO-NH2 | SIGMA | 761540-10MG | For bead coating |
Double-sided tape | 3M | 136 | For flow cell assembly |
Epoxy glue | DEVCON | S-208 | For flow cell assembly |
Glass coverslip for bottom surface | VWR | 48393-251 | Rectangular, 60×24 mm, #1.5 |
Glass coverslip for top surface | VWR | 48393-241 | Rectangular, 50×24 mm, #1.5 |
Magnetic bead | ThermoFisher Scientific | 14301 | Dynabeads M-270 Epoxy, 2.8 μm |
mPEG-SVA | LAYSAN BIO | mPEG-SVA 1g | For PEGylation |
N,N-Dimethylformamide / DMF | SIGMA | D4551-250ML | For bead coating |
N-[3-(trimethoxysilyl)propyl]ethylenediamine | SIGMA | 104884-100ML | For PEGylation |
Neutravidin | ThermoFisher Scientific | 31000 | For sample tethering |
Phosphate buffered saline / PBS, pH 7.2 | PLS | PR2007-100-00 | |
Plastic syringe | Norm-ject | A5 | 5 ml, luer tip |
Polyethylene Tubing | SCI | BB31695-PE/4 | PE-60 |
Reference bead | SPHEROTECH | SVP-30-5 | Streptavidin-coated Polystyrene Particles; 3.0-3.4 µm |
Syringe needle | Kovax | 21G-1 1/4'' | 21 G |
Syringe pump | KD SCIENTIFIC | 788210 | |
Equipment for magnetic tweezer instrument | |||
1-axis motorized microtranslation stage | PI | M-126.PD1 | For vertical positioning of magnets |
2-axis manual translation stage | ST1 | LEE400 | For alignment of magnets to the optical axis |
Acrylic holder for magnets | DaiKwang Precision | custum order | Drawing available upon request |
Frame grabber | Active Silicon | AS-FBD-4XCXP6-2PE8 | |
High-speed CMOS camera | Mikrotron | EoSens 3CXP | |
Inverted microscope | Olympus | IX73P2F-1-2 | |
Neodymium magnets | LG magnet | ND 10x10x12t | Dimension: 10 mm × 10 mm × 12 mm; two needed |
Objective lens | Olympus | UPLXAPO100XO | Oil-immersion, NA 1.45 |
Objective lens nanopositioner | Mad City Labs | Nano-F100S | |
Rotation stepper motor | AUTONICS | A3K-S545W | For rotating magnets |
Superluminescent diode | QPHOTONICS | QSDM-680-2 | 680 nm |
Software | |||
LabVIEW | National Instruments | v20.0f1 | |
MATLAB | MathWorks | v2021a |
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