JoVE 비디오를 활용하시려면 도서관을 통한 기관 구독이 필요합니다. 전체 비디오를 보시려면 로그인하거나 무료 트라이얼을 시작하세요.

기사 소개

  • 요약
  • 초록
  • 서문
  • 프로토콜
  • 결과
  • 토론
  • 공개
  • 감사의 말
  • 자료
  • 참고문헌
  • 재인쇄 및 허가

요약

여기에서는 최대 1.2kHz의 속도로 힘에 민감한 생체 분자에 대한 나노기계적 측정을 수행하는 고속 자기 핀셋 설정에 대해 설명합니다. 우리는 모델 시스템으로 DNA 헤어핀과 SNARE 복합체에 대한 적용을 소개하지만 기계 생물학적 사건에 관여하는 다른 분자에도 적용 할 수 있습니다.

초록

단일 분자 자기 핀셋(MT)은 핵산 및 단백질과 같은 생체 분자를 강력하게 조사하는 강력한 도구 역할을 하므로 기계 생물학 분야에서 유용할 태세입니다. 이 방법은 일반적으로 마그네틱 비드의 이미지 기반 추적에 의존하기 때문에 이미지 기록 및 분석의 속도 제한과 비드의 열 변동으로 인해 표적 분자의 작고 빠른 구조적 변화를 관찰하는 데 오랫동안 적용이 방해를 받았습니다. 이 글에서는 생체 분자 및 그 복합체의 나노 단위, 밀리초 역학을 해결할 수 있는 고분해능 MT 설정의 구성 및 작동에 대한 자세한 방법을 설명합니다. 응용 사례로서, DNA 헤어핀과 SNARE 복합체 (막 융합 기계)를 사용한 실험이 시연되며, 피코 네톤 규모의 힘이있을 때 일시적인 상태와 전이를 어떻게 감지 할 수 있는지에 초점을 맞 춥니 다. 우리는 고속 MT가 세포에서 힘을 감지, 전송 및 생성하는 분자에 대한 고정밀 나노 역학 측정을 계속 가능하게 하여 기계 생물학에 대한 분자 수준의 이해를 심화할 것으로 기대합니다.

서문

세포는 기계적 자극을 능동적으로 감지하고 반응합니다. 그렇게 함으로써 많은 생체 분자는 역동적인 구조적 변화를 가능하게 하는 힘 의존적 특성을 나타냅니다. 잘 알려진 예로는 세포에 주변 환경의 주요 기계적 정보를 제공하는 기계에 민감한 이온 채널과 세포골격 요소가 있습니다.

또한, 독특한 힘을 지닌 성질을 나타내는 분자는 더 넓은 의미에서 기계에 민감한 것으로 간주 될 수 있습니다. 예를 들어, 핵산 이중가닥의 국소 형성 및 용융뿐만 아니라 G-사중가닥과 같은 고차 구조는 복제, 전사, 재조합, 그리고 최근에는 게놈 편집에서 중요한 역할을 합니다. 또한, 시냅스 통신에 관여하는 일부 신경 단백질은 일반적인 분자간 상호 작용 수준을 초과하는 물리적 힘을 생성하여 기능을 수행합니다. 어떤 예를 연구하든, 높은 시공간 정밀도로 관련된 생체 분자의 나노 역학을 조사하는 것은 관련 기계 생물학적 과정 1,2,3의 분자 메커니즘을 밝히는 데 매우 유용하다는 것을 증명할 것입니다.

단일분자 힘 분광법은 생체분자

프로토콜

이 프로토콜에 설명 된 모든 재료와 장비는 재료 표에 나열되어 있습니다. 아래에 설명된 고속 MT 설정을 작동하기 위한 LabVIEW 소프트웨어와 샘플 데이터를 분석하기 위한 MATLAB 스크립트는 GitHub (https://github.com/ShonLab/Magnetic-Tweezers)에 보관되어 공개적으로 사용할 수 있습니다.

1. 장치의 구성

참고: 고속 MT 구조의 일반적인 원리는 고속 CMOS(Complementary Metal Oxide Semiconductor) 카메라와 고출력 코히어런트 광원을 사용한다는 점을 제외하면 기존의 표준 MT 시스템과 유사합니다(그림 1). 표준 MT 기기 5,26,27에 대한 자세한 설명은 다른 출처를 참조하십시오.

  1. 진동 방지 광학 테이블에 도립 현미경을 설치합니다. 고속 CMOS 카메라와 프레임 그래버를 설치합니다.
  2. 자석을 3D로 ....

결과

힘 교정
두 가지 힘 측정 방법(비드의 측면 변위 분산 및 전력 스펙트럼 분석)의 결과는 0-2pN 차이가 났습니다(그림 2G). 그림 2F의 결과에 따르면 일반 네오디뮴 자석으로 최대 30pN에 안정적으로 도달할 수 있습니다.

8bp DNA 헤어핀의 2상태 전이
우리는 먼저 짧은 DNA 헤어핀의 나노 역학을 조사했습니다 (

토론

이 연구에서 우리는 높은 시공간 정밀도에서 생체 분자의 구조적 변화를 관찰할 수 있는 단일 분자 힘 분광법 설정을 도입했습니다. 사용된 고속 CMOS 카메라는 1,280 x 1,024 해상도에서 1,200 프레임 s-1 을 획득하여 1.2kHz 비드 트래킹을 가능하게 합니다. 그러나 측정 속도는 현재 비드 추적 소프트웨어에 의해 제한되므로 고속 측정에서 ROI는 일반적으로 더 작은 영역으로 감소합니다. SLD의 고?.......

공개

저자는 선언할 이해 상충이 없습니다.

감사의 말

이 연구는 한국 정부(MSIT)가 지원하는 한국연구재단(NRF) 보조금(NRF-2022R1C1C1012176, NRF-2021R1A4A1031754 및 NRF-2021R1A6A1A10042944)의 지원을 받았습니다. S.-H.R. NRF 보조금(2021R1C1C2009717)의 지원을 받았습니다.

....

자료

NameCompanyCatalog NumberComments
Materials for construct synthesis
Agarose gel electrophoresis systemAdvanceMupid-2plus
DNA ladderBioneerD-1037
nTaq polymeraseEnzynomicsP050A
PCR purification kitLaboPassCMR0112
PEGylated SMCC crosslinker / SM(PEG)2ThermoFisher Scientific22102For SNARE–DNA coupling
Primer BBioneer5'-Biotin/TCGCCACCATCATTTCCA-3'For 5-kbp force calibration construct and DNA handles
Primer B_hpIDT5'-Biotin/TTTTTTTTTTGTTCTCTATTT
TTTTAGAGAAC /AP site/ /AP site/ TCGCCACCATCATTTCCA-3'
For hairpin construct
Primer NBioneer5'-C6Amine/CATGTGGGTGACGCGAAA-3'For DNA handles
Primer ZBioneer5'-Azide/TCGCCACCATCATTTCCA-3'For DNA handles
Primer Z_5kBioneer5'-Azide/TTAGAGAGTATGGGTATATGACA
TCG-3'
For 5-kbp force calibration construct
Primer Z_hpBioneer5'-Azide/GTGGCAGCATGACACC-3'For hairpin construct
SYBR Safe DNA Gel StainThermoFisher ScientificS33102
λ-DNABioneerD-2510Template strand for PCR
DNA sequences for SNARE proteins
6×His-tagged SNAP-25b (2-206; capitalized) in pET28ahomemadetggcgaatgggacgcgccctgtagcggcgca
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 pET28ahomemadetggcgaatgggacgcgccctgtagcggcgca
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-1homemadeggggaattgtgagcggataacaattcccctc
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 pET28ahomemadetggcgaatgggacgcgccctgtagcggcgca
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-MercaptoethanolSIGMAM3148-25ML
AgarLPS SolutionAGA500
Ampicillin, Sodium saltPLSAC1043-005-00
ChloramphenicolPLSCR1023-050-00
Competent cells (E. coli)Novagen70956Rosetta(DE3)pLysS
GlycerolSIGMAG5516-500ML
HEPESSIGMAH4034-100G
Hydrochloric acid / HClSIGMA320331-500ML
ImidazoleSIGMAI2399-100G
Isopropyl β-D-1-thiogalactopyranoside / IPTGSIGMA10724815001
Kanamycin SulfatePLSKC1001-005-02
Luria-Bertani (LB) BrothLPS SolutionLB-05
Ni-NTA resinQiagen30210
PD MiniTrap G-25 (desalting column)CytivaGE28-9180-07For 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 / PMSFThermoFisher Scientific36978
Plasmids for SNARE proteinscloned in houseN/AAvailable upon request
Protease inhibitor cocktailgenDEPOTP3100
Sodium chlorideSIGMAS5886-500G
Sodium phosphate dibasic / Na2HPO4SIGMAS7907-100G
Sodium phosphate monobasic / NaH2PO4SIGMAS3139-250G
Tris(2-carboxyethyl)phosphine / TCEPSIGMAC4706-2G
Trizma baseSIGMAT1503-250G
Materials for sample assembly
Biotin-PEG-SVALAYSAN BIOBIO-PEG-SVA-5K-100MG & MPEG-SVA-5K-1gFor PEGylation
Dibenzocyclooctyne-amine / DBCO-NH2SIGMA761540-10MGFor bead coating
Double-sided tape3M136For flow cell assembly
Epoxy glueDEVCONS-208For flow cell assembly
Glass coverslip for bottom surfaceVWR48393-251Rectangular, 60×24 mm, #1.5
Glass coverslip for top surfaceVWR48393-241Rectangular, 50×24 mm, #1.5
Magnetic beadThermoFisher Scientific14301Dynabeads M-270 Epoxy, 2.8 μm
mPEG-SVALAYSAN BIOmPEG-SVA 1gFor PEGylation
N,N-Dimethylformamide / DMFSIGMAD4551-250MLFor bead coating
N-[3-(trimethoxysilyl)propyl]ethylenediamineSIGMA104884-100MLFor PEGylation
NeutravidinThermoFisher Scientific31000For sample tethering
Phosphate buffered saline / PBS, pH 7.2PLSPR2007-100-00
Plastic syringeNorm-jectA55 ml, luer tip
Polyethylene TubingSCIBB31695-PE/4PE-60
Reference beadSPHEROTECHSVP-30-5Streptavidin-coated Polystyrene Particles; 3.0-3.4 µm
Syringe needleKovax21G-1 1/4''21 G
Syringe pumpKD SCIENTIFIC788210
Equipment for magnetic tweezer instrument
1-axis motorized microtranslation stagePIM-126.PD1For vertical positioning of magnets
2-axis manual translation stageST1LEE400For alignment of magnets to the optical axis
Acrylic holder for magnetsDaiKwang Precisioncustum orderDrawing available upon request
Frame grabberActive SiliconAS-FBD-4XCXP6-2PE8
High-speed CMOS cameraMikrotronEoSens 3CXP
Inverted microscopeOlympusIX73P2F-1-2
Neodymium magnetsLG magnetND 10x10x12tDimension: 10 mm × 10 mm × 12 mm; two needed
Objective lensOlympusUPLXAPO100XOOil-immersion, NA 1.45
Objective lens nanopositionerMad City LabsNano-F100S
Rotation stepper motorAUTONICSA3K-S545WFor rotating magnets
Superluminescent diodeQPHOTONICSQSDM-680-2680 nm
Software
LabVIEWNational Instrumentsv20.0f1
MATLABMathWorksv2021a

참고문헌

  1. Le, S., Liu, R., Lim, C. T., Yan, J. Uncovering mechanosensing mechanisms at the single protein level using magnetic tweezers. Methods. 94, 13-18 (2016).
  2. Choi, H. -. K., Kim, H. G., Shon, M. J., Yoon, T. -. Y. High....

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