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Directed Evolution of a Selective and Sensitive Serotonin Sensor via Machine Learning.

Unger EK, Keller JP, Altermatt M, Liang R, Matsui A, Dong C, Hon OJ, Yao Z, Sun J, Banala S, Flanigan ME, Jaffe DA, Hartanto S, Carlen J, Mizuno GO, Borden PM, Shivange AV, Cameron LP, Sinning S, Underhill SM, Olson DE, Amara SG, Temple Lang D, Rudnick G, Marvin JS, Lavis LD, Lester HA, Alvarez VA, Fisher AJ, Prescher JA, Kash TL, Yarov-Yarovoy V, Gradinaru V, Looger LL, Tian L. · Cell · 2020 · Journal publication

Original publication · Original publication · Original publication

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Reference associated with Machine Learning-Directed Fluorescent Serotonin Sensor.

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Bibliographic metadata matched; scientific claims await appraisal.

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jadad
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Topics and recorded topic scores
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Citation snapshot and identifiers
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hsi-e7e54aaae200fa
doi
10.1016/j.cell.2020.11.040
pmid
33333022
citation Snapshot
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citations By Collection
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Complete approved library record
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hsi-e7e54aaae200fa
aliases
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source References
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    title
    Directed Evolution of a Selective and Sensitive Serotonin Sensor via Machine Learning.
    authors
    Unger EK, Keller JP, Altermatt M, Liang R, Matsui A, Dong C, Hon OJ, Yao Z, Sun J, Banala S, Flanigan ME, Jaffe DA, Hartanto S, Carlen J, Mizuno GO, Borden PM, Shivange AV, Cameron LP, Sinning S, Underhill SM, Olson DE, Amara SG, Temple Lang D, Rudnick G, Marvin JS, Lavis LD, Lester HA, Alvarez VA, Fisher AJ, Prescher JA, Kash TL, Yarov-Yarovoy V, Gradinaru V, Looger LL, Tian L.
    year
    2020
    journal
    Cell
    doi
    10.1016/j.cell.2020.11.040
    pmid
    33333022
    pmcid
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    patent Number
    Not recorded
    original Assignee
    Not recorded
    original Citation
    Unger EK, Keller JP, Altermatt M et al. (2020). "Directed Evolution of a Selective and Sensitive Serotonin Sensor via Machine Learning." Cell 183(7):1986–2002 (DOI: 10.1016/j.cell.2020.11.040; Addgene #128483, pRSET-iSeroSnFR, Lin Tian Lab, UC Davis) — ML-guided binding-pocket redesign (Rosetta + random forest + GLM) produced iSeroSnFR genetically encoded fluorescent 5-HT sensor; >5,000× improved affinity over iAChSnFR0.6; 800% ΔF/F₀; ~350 pM inference; millisecond kinetics; fiber photometry in freely behaving mice (fear conditioning, social interaction, sleep/wake); OSTA assay for hSERT/SLC6A4 pharmacology (SSRIs, cocaine, MDMA). Invasive (genetically encoded sensor + viral delivery + implanted fiber optics)
    original Section
    Machine Learning-Directed Fluorescent Serotonin Sensor
    metadata Status
    metadata-matched
    claim Review
    Not independently appraised
    source URL
    https://www.notion.so/3807b9c99c5680599be7d8337c817b15
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    https://pubmed.ncbi.nlm.nih.gov/33333022/
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    https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI%3A%2210.1016%2Fj.cell.2020.11.040%22&format=json&resultType=core&pageSize=4
    corrections
    None recorded
    topic Id
    autofluorescence-sensing
    role
    Focused chapter source
source Type
Journal publication
source Verification
Bibliographic metadata matched; scientific claims await appraisal.
source Collection
Hyperspectral Imaging · patent section 2.4
title
Directed Evolution of a Selective and Sensitive Serotonin Sensor via Machine Learning.
journal
Cell
neurotransmitters
None recorded
year
2020
authors
Unger EK, Keller JP, Altermatt M, Liang R, Matsui A, Dong C, Hon OJ, Yao Z, Sun J, Banala S, Flanigan ME, Jaffe DA, Hartanto S, Carlen J, Mizuno GO, Borden PM, Shivange AV, Cameron LP, Sinning S, Underhill SM, Olson DE, Amara SG, Temple Lang D, Rudnick G, Marvin JS, Lavis LD, Lester HA, Alvarez VA, Fisher AJ, Prescher JA, Kash TL, Yarov-Yarovoy V, Gradinaru V, Looger LL, Tian L.
design
Journal publication
kind
Journal publication
identity Conflict
Not recorded
doi
10.1016/j.cell.2020.11.040
pmid
33333022
urls

https://pubmed.ncbi.nlm.nih.gov/33333022/ · https://doi.org/10.1016/j.cell.2020.11.040 · https://pmc.ncbi.nlm.nih.gov/articles/PMC8025677/

collections

general

categories

Hyperspectral Imaging

targets
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priority
1
quotes
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summary
Reference associated with Machine Learning-Directed Fluorescent Serotonin Sensor.
limitation
Bibliographic metadata matched; scientific claims await appraisal.
citation Count
Not recorded
paper Trust Assessment
scope
Paper
status
unassessed
score
Not recorded
basis
Bibliographic identity checks do not establish study design, blinding or evidential strength.
citations By Collection
general
Not recorded
topics
  1. key
    general:autofluorescence-sensing
    title
    Autofluorescence and Molecular Sensing
    collection
    general
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    Not recorded
journal Key
cell
journal Label
Cell
chapter Entries
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    hsi-e7e54aaae200fa
    title
    Directed Evolution of a Selective and Sensitive Serotonin Sensor via Machine Learning.
    journal
    Cell
    year
    2020
    authors
    Unger EK, Keller JP, Altermatt M, Liang R, Matsui A, Dong C, Hon OJ, Yao Z, Sun J, Banala S, Flanigan ME, Jaffe DA, Hartanto S, Carlen J, Mizuno GO, Borden PM, Shivange AV, Cameron LP, Sinning S, Underhill SM, Olson DE, Amara SG, Temple Lang D, Rudnick G, Marvin JS, Lavis LD, Lester HA, Alvarez VA, Fisher AJ, Prescher JA, Kash TL, Yarov-Yarovoy V, Gradinaru V, Looger LL, Tian L.
    design
    Journal publication
    urls

    https://pubmed.ncbi.nlm.nih.gov/33333022/ · https://doi.org/10.1016/j.cell.2020.11.040 · https://pmc.ncbi.nlm.nih.gov/articles/PMC8025677/

    quotes
    None recorded
    summary
    Reference associated with Machine Learning-Directed Fluorescent Serotonin Sensor.
    related Versions
    None recorded
    limitation
    Bibliographic metadata matched; scientific claims await appraisal.
    citation Count
    Not recorded
    source Pages
    None recorded
    doi
    10.1016/j.cell.2020.11.040
    pmid
    33333022
    targets
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    Hyperspectral Imaging

    source References
    1. ref
      NPL-171
      record Id
      hsi-e7e54aaae200fa
      source Type
      Journal publication
      title
      Directed Evolution of a Selective and Sensitive Serotonin Sensor via Machine Learning.
      authors
      Unger EK, Keller JP, Altermatt M, Liang R, Matsui A, Dong C, Hon OJ, Yao Z, Sun J, Banala S, Flanigan ME, Jaffe DA, Hartanto S, Carlen J, Mizuno GO, Borden PM, Shivange AV, Cameron LP, Sinning S, Underhill SM, Olson DE, Amara SG, Temple Lang D, Rudnick G, Marvin JS, Lavis LD, Lester HA, Alvarez VA, Fisher AJ, Prescher JA, Kash TL, Yarov-Yarovoy V, Gradinaru V, Looger LL, Tian L.
      year
      2020
      journal
      Cell
      doi
      10.1016/j.cell.2020.11.040
      pmid
      33333022
      pmcid
      PMC8025677
      patent Number
      Not recorded
      original Assignee
      Not recorded
      original Citation
      Unger EK, Keller JP, Altermatt M et al. (2020). "Directed Evolution of a Selective and Sensitive Serotonin Sensor via Machine Learning." Cell 183(7):1986–2002 (DOI: 10.1016/j.cell.2020.11.040; Addgene #128483, pRSET-iSeroSnFR, Lin Tian Lab, UC Davis) — ML-guided binding-pocket redesign (Rosetta + random forest + GLM) produced iSeroSnFR genetically encoded fluorescent 5-HT sensor; >5,000× improved affinity over iAChSnFR0.6; 800% ΔF/F₀; ~350 pM inference; millisecond kinetics; fiber photometry in freely behaving mice (fear conditioning, social interaction, sleep/wake); OSTA assay for hSERT/SLC6A4 pharmacology (SSRIs, cocaine, MDMA). Invasive (genetically encoded sensor + viral delivery + implanted fiber optics)
      original Section
      Machine Learning-Directed Fluorescent Serotonin Sensor
      metadata Status
      metadata-matched
      claim Review
      Not independently appraised
      source URL
      https://www.notion.so/3807b9c99c5680599be7d8337c817b15
      publication URL
      https://pubmed.ncbi.nlm.nih.gov/33333022/
      metadata URL
      https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI%3A%2210.1016%2Fj.cell.2020.11.040%22&format=json&resultType=core&pageSize=4
      corrections
      None recorded
      topic Id
      autofluorescence-sensing
      role
      Focused chapter source
    source Type
    Journal publication
    source Verification
    Bibliographic metadata matched; scientific claims await appraisal.
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    autofluorescence-sensing
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    Autofluorescence and Molecular Sensing
    trust Score
    Not recorded
    paper Trust Assessment
    scope
    Paper
    status
    unassessed
    score
    Not recorded
    basis
    Bibliographic identity checks do not establish study design, blinding or evidential strength.
jadad
status
unassessed
score
Not recorded
condition Evidence
None recorded
conditions
None recorded
topic Trust Scores
None recorded
full Text
status
not-indexed
retrieval Available
false

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