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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, recombination, and more recently, genome editing. Moreover, some neuronal proteins involved in synaptic communications perform their functions by generating physical forces that exceed the levels of typical intermolecular interactions. No matter which example one studies, investigating nanomechanics of the involved biomolecules with high spatiotemporal precision will prove highly useful in revealing molecular mechanisms of the associated mechanobiological processes1,2,3.
Single-molecule force spectroscopy methods have served as powerful tools to examine the mechanical properties of biomolecules2,4,5,6. They can monitor structural changes in nucleic acids and proteins concurrently with the application of force, thereby examining force-dependent properties. Two well-known setups are optical tweezers and magnetic tweezers (MTs), which employ micron-sized beads to manipulate molecules5,6,7,8. In these platforms, polystyrene (for optical tweezers) or magnetic beads (for MTs) are tethered to target molecules (e.g., nucleic acids and proteins) via molecular "handles", typically made of short fragments of double-stranded DNA (dsDNA). The beads are then moved to exert force and imaged to track their locations that report on structural changes in target molecules. Optical and magnetic tweezers are largely interchangeable in their applications, but there exist important differences in their approaches to controlling force. Optical tweezers are intrinsically position-clamp instruments that trap beads in position, because of which the applied force fluctuates when a target construct undergoes shape changes; extension increase, such as from unfolding, loosens the tether and reduces tension, and vice versa. Although active feedback can be implemented to control the force in optical tweezers, MTs in contrast naturally operate as a force-clamp device, taking advantage of stable, far-field magnetic forces by permanent magnets, which can also withstand environmental perturbation.
Despite their long history and simple design, MTs have lagged behind optical tweezers in their applications to high-precision measurements, largely because of technical challenges in fast bead tracking. Recently, however, several groups have jointly led a multi-faceted improvement of both hardware and software for MT instruments2,9,10,11,12,13,14,15,16,17,18,19. In this work, we introduce an example of such a setup running at 1.2 kHz and describe how to use it to perform nanomechanical measurements on force-sensitive biomolecules. As model systems, we employ DNA hairpins and neuronal SNARE complexes and examine their fast, structural changes in the piconewton regime. DNA hairpins exhibit simple two-state transitions in a well-defined force range20,21, and therefore serve as toy models to verify the performance of a tweezer setup. As the SNARE proteins assemble into a force-sensitive complex that drives membrane fusion22, they have also been extensively studied by single-molecule force spectroscopy14,23,24,25. Standard approaches to analyzing data and extracting useful information on thermodynamics and kinetics are presented. We hope this article can facilitate the adoption of high-precision MTs in mechanobiological studies and motivate readers to explore their own force-sensitive systems of interest.
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 MT systems, except for the use of a high-speed complementary metal oxide semiconductor (CMOS) camera and a high-power, coherent light source (Figure 1). Refer to other sources for more descriptions of standard MT instruments5,26,27.
2. Calibration of magnetic force
3. Synthesis of DNA hairpins
NOTE: DNA hairpin constructs for MT experiments are prepared by PCR amplification of a 510 bp region in λ-DNA with two custom primers, one of which contains a hairpin structure on its 5′-end (Figure 3A). In this way, a hairpin motif is placed at one end of the PCR product.
4. Preparation of SNARE proteins
NOTE: Neuronal SNARE complexes are assembled by combining three purified rat proteins expressed from E. coli: VAMP2/synaptobrevin-2, syntaxin-1A, and SNAP-25 (Figure 3B). To facilitate their assembly, syntaxin and SNAP-25 are co-expressed with a VAMP2 fragment (lacking the N-terminal region; termed "ΔN-VAMP2") into a structure called the "ΔN-complex", and then mixed with full-length VAMP2 after DNA handle attachment to form full complexes.
5. Attachment of DNA handles
NOTE: Two 510 bp dsDNA handles containing primary amine groups on one end are first prepared by PCR, and the amine groups are then converted to maleimide groups by using a bifunctional crosslinker, SM(PEG)2. The two handles are then covalently linked to SNARE complexes via their cysteine groups for site-specific conjugation (Figure 3B).
6. Fabrication of flow cells
NOTE: Flow cells for MT measurements are constructed from two glass coverslips bonded together by double-sided tape (Figure 3C). One coverslip is coated with a mixture of PEG and biotinylated polyethylene glycol (PEG) to avoid nonspecific binding and to enable specific tethering of target molecules via biotin-NeutrAvidin linkage (Figure 3D). Then, the solutions of materials for MT experiments are sequentially infused into a flow cell by using a syringe pump (Figure 3C,D).
7. Assembly of bead-tether constructs
NOTE: The solutions of materials for MT experiments, including the ones for bead-tether constructs, are sequentially introduced into flow cells by using a syringe pump (Figure 3C,D).
8. Identification of target constructs
9. Bead tracking for extension measurements
NOTE: Tracking of beads is performed by analyzing bead images in real time in the LabVIEW software provided with this article. The tracking method and its variants have been used in most of the conventional MT systems and are explained in previous literature2,5,7,26. By measuring the position of a magnetic bead relative to a fixed reference bead (i.e., differential tracking), the position measurements become extremely robust to an external perturbation.
10. Force application schemes
11. Data analysis
NOTE: The types of analysis one can conduct with MT data depend on the target system. However, there are common approaches to extracting useful information from the respective experiments described in Figure 4. All analyses are performed with MATLAB (R2021a) using the custom codes provided with this article. These codes generate plots by using the same data presented in this article. Note that while raw data from 100 Hz tracking was directly taken for analysis, data from 1.2 kHz tracking was typically median-filtered (with a five-point sliding window) prior to analysis to reduce noise (except for noise analysis).
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...
The authors have no conflicts of interest to declare.
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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