バイオセンシングと パターン認識の融合 - aisthem gox gal fib con cat car bsa laca...

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人工組織・センシング・細菌制御の新技術 ~多様なバイオ産業応用を目指して~  New technologies for artificial organs, bio-sensing and bacterial control: toward various bioindustry applications 味覚の仕組みを模倣することで、バイオ試料の“味”を認識 Recognition of the "taste" of biological samples by mimicking the mechanism of the gustatory system (研究拠点 つくば/ AIST-Tsukuba) 冨田 峻介 健康医工学研究部門 TOMITA Shunsuke Health and Medical Research Institute バイオ試料の特性を蛍光パターンとして出力可能な分子アレイを開発 血清や細胞分泌物、腸内細菌叢のような複雑性バイオ試料の差異を判別 複雑で不明瞭なバイオ試料を分類・判別するための新規指標を提供 Development of molecular arrays for converting the sample characteristics into fluorescence patterns Differentiation of complex biological samples such as serum, cell secretions, and gut microbiota Providing new index for classification of complex and obscure biological samples Fusion of biosensing and pattern recognition バイオセンシングと パターン認識の融合 これまでに得られたバイオ試料評価の結果の例 開発した chemical tongue の模式図と材料および結果の例 Examples of biosample evaluation results obtained so far Schematic illustration of the developed chemical tongue and examples of materials and a result Proteins Score (1), 60.6% Score (2), 26.7% Tra Pep Myo Lys Lip LacG IgG HRP Hem GOX Gal Fib Con Cat Car BSA lacA Ant Amy HSA -10 -5 0 5 Score (3), 5.8% -10 -5 0 5 10 Score (2), 9.5% -10 0 10 20 Score (1), 80.3% HL60 P388 Raji HuH7 HeLa Mammalian cells A431 MCF7 TIG MG63 MDA Score (1), 76.7% Score (2), 18.7% Native Denatured Aggregated Antibody A Antibody B Young Senescent Score (1) Score (2) Score (3) Cell senescence Antibody degradation Cell differentiation Mammalian sera Score (1), 93.6% Score (2), 6.4% Bovine Human Horse Rabbit Fetal bovine Undiff. Osteo. Adipo. Score (1), 80.5% Score (2), 19.5% Gut-derived bacteria Gut microbiome Firmicutes Actinobacteria Bacteroidetes Score (1), 31.2% Score (2), 26.8% Proteo -bacteria Score (1) Healthy Insomnia R = R = NH 3 + OH N H O R = N H O N H R O 5 47 113 N H O O N H N H O NH 3 + NH 3 + Recognition unit Transduction unit R S O O N N O N S N O O NH O OH O COOH S ACS AMI, 2017 ACS Sens. , 2019 ACS AMI, 2019 R = Response patterns of samples Mimic The taste system Pattern-recognition Score (1), 60.6% Score (2), 26.7% Tra Pep Myo Lys Lip LacG IgG HRP Hem GOX Gal Fib Con Cat Car BSA lacA Ant Amy HSA Ex. Identification of 20 different proteins 本研究の一部は、JSPS 科研費 20H02774 および 17H04884 の助成を受けたものです。

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  • 人工組織・センシング・細菌制御の新技術 ~多様なバイオ産業応用を目指して~ New technologies for artificial organs, bio-sensing and bacterial control: toward various bioindustry applications

    味覚の仕組みを模倣することで、バイオ試料の“味”を認識Recognition of the "taste" of biological samples by mimicking the mechanism of the gustatory system

    (研究拠点 つくば/ AIST-Tsukuba)

    冨田 峻介 健康医工学研究部門TOMITA Shunsuke Health and Medical Research Institute

    バイオ試料の特性を蛍光パターンとして出力可能な分子アレイを開発

    血清や細胞分泌物、腸内細菌叢のような複雑性バイオ試料の差異を判別

    複雑で不明瞭なバイオ試料を分類・判別するための新規指標を提供

    Development of molecular arrays for converting the sample characteristics into fluorescence patterns

    Differentiation of complex biological samples such as serum, cell secretions, and gut microbiota

    Providing new index for classification of complex and obscure biological samples

    Fusion of biosensing and pattern recognition

    バイオセンシングとパターン認識の融合

    これまでに得られたバイオ試料評価の結果の例

    開発した chemical tongue の模式図と材料および結果の例

    Examples of biosample evaluation results obtained so far

    Schematic illustration of the developed chemical tongue and examples of materials and a result

    タンパク質

    Score (1), 60.6%

    Scor

    e (2

    ), 26

    .7%

    TraPepMyoLysLipLacGIgGHRPHemGOX

    GalFibConCatCarBSAlacAAntAmyHSA

    -10

    -50

    5

    Scor

    e (3

    ), 5.

    8%

    -10-50

    510

    Score (2), 9.5%

    -10

    0

    10

    20

    Scor

    e (1

    ), 80

    .3%

    HL60P388

    Raji

    HuH7

    HeLa

    哺乳類細胞

    A431

    MCF7

    TIGMG63

    MDA

    Score (1), 76.7%

    Scor

    e (2

    ), 18

    .7%

    Native

    Denatured

    Aggregated

    Antibody AAntibody B

    Young Senescent

    Score (1)

    Scor

    e (2

    )Sc

    ore

    (3)

    細胞老化 抗体劣化

    細胞分化 哺乳類血清

    Score (1), 93.6%

    Scor

    e (2

    ), 6.

    4% Bovine

    Human

    HorseRabbit

    Fetal bovineUndiff.

    Osteo. Adipo.

    Score (1), 80.5%

    Scor

    e (2

    ), 19

    .5%

    R =

    R =

    NH3+ OH

    NH

    O

    R =

    NHO

    NH

    R

    O

    547113NH

    OO

    N H

    NH

    O

    NH3+

    NH3+

    認識ユニット

    出力ユニットR

    S OO

    N

    NO

    N

    S NOO

    NH

    O OHO

    COOH

    S

    ACS AMI, 2017ACS Sens., 2019

    ACS AMI, 2019

    R =

    分析試料の応答パターン

    模倣

    味覚

    パターン認識

    Score (1), 60.6%

    Scor

    e (2

    ), 26

    .7%

    TraPepMyoLysLip

    LacGIgGHRPHemGOX

    GalFibConCatCar

    BSAlacAAntAmyHSA

    例︓20 種類のタンパク質の識別

    腸内細菌

    腸内細菌叢

    Firmicutes

    Actinobacteria

    Bacteroidetes

    Score (1), 31.2%

    Scor

    e (2

    ), 26

    .8%

    Proteo-bacteria

    Score (1)

    HealthyInsomnia

    Figure 1

    Figure 2

    R =

    R =

    NH3+ OH

    NH

    O

    R =

    NHO

    NH

    R

    O

    547113NH

    OO

    N H

    NH

    O

    NH3+

    NH3+

    Recognition unit

    Transduction unitR

    S OO

    N

    NO

    N

    S NOO

    NH

    O OHO

    COOH

    S

    ACS AMI, 2017ACS Sens., 2019

    ACS AMI, 2019

    R =

    Response patternsof samples

    Mimic

    The taste system

    Pattern-recognition

    Score (1), 60.6%

    Scor

    e (2

    ), 26

    .7%

    TraPepMyoLysLip

    LacGIgGHRPHemGOX

    GalFibConCatCar

    BSAlacAAntAmyHSA

    Ex. Identification of 20 different proteins

    Figure 1 (English)

    Proteins

    Score (1), 60.6%

    Scor

    e (2

    ), 26

    .7%

    TraPepMyoLysLipLacGIgGHRPHemGOX

    GalFibConCatCarBSAlacAAntAmyHSA

    -10

    -50

    5

    Scor

    e (3

    ), 5.

    8%

    -10-50

    510

    Score (2), 9.5%

    -10

    0

    10

    20

    Scor

    e (1

    ), 80

    .3%

    HL60P388

    Raji

    HuH7

    HeLa

    Mammalian cells

    A431

    MCF7

    TIGMG63

    MDA

    Score (1), 76.7%

    Scor

    e (2

    ), 18

    .7%

    Native

    Denatured

    Aggregated

    Antibody AAntibody B

    Young Senescent

    Score (1)

    Scor

    e (2

    )Sc

    ore

    (3)

    Cell senescence Antibody degradation

    Cell differentiation Mammalian sera

    Score (1), 93.6%

    Scor

    e (2

    ), 6.

    4% Bovine

    Human

    HorseRabbit

    Fetal bovineUndiff.

    Osteo. Adipo.

    Score (1), 80.5%

    Scor

    e (2

    ), 19

    .5%

    Gut-derived bacteria

    Gut microbiome

    Firmicutes

    Actinobacteria

    Bacteroidetes

    Score (1), 31.2%

    Scor

    e (2

    ), 26

    .8%

    Proteo-bacteria

    Score (1)

    HealthyInsomnia

    Figure 2 (English)タンパク質

    Score (1), 60.6%

    Scor

    e (2

    ), 26

    .7%

    TraPepMyoLysLipLacGIgGHRPHemGOX

    GalFibConCatCarBSAlacAAntAmyHSA

    -10

    -50

    5

    Scor

    e (3

    ), 5.

    8%

    -10-50

    510

    Score (2), 9.5%

    -10

    0

    10

    20

    Scor

    e (1

    ), 80

    .3%

    HL60P388

    Raji

    HuH7

    HeLa

    哺乳類細胞

    A431

    MCF7

    TIGMG63

    MDA

    Score (1), 76.7%

    Scor

    e (2

    ), 18

    .7%

    Native

    Denatured

    Aggregated

    Antibody AAntibody B

    Young Senescent

    Score (1)

    Scor

    e (2

    )Sc

    ore

    (3)

    細胞老化 抗体劣化

    細胞分化 哺乳類血清

    Score (1), 93.6%

    Scor

    e (2

    ), 6.

    4% Bovine

    Human

    HorseRabbit

    Fetal bovineUndiff.

    Osteo. Adipo.

    Score (1), 80.5%

    Scor

    e (2

    ), 19

    .5%

    R =

    R =

    NH3+ OH

    NH

    O

    R =

    NHO

    NH

    R

    O

    547113NH

    OO

    N H

    NH

    O

    NH3+

    NH3+

    認識ユニット

    出力ユニットR

    S OO

    N

    NO

    N

    S NOO

    NH

    O OHO

    COOH

    S

    ACS AMI, 2017ACS Sens., 2019

    ACS AMI, 2019

    R =

    分析試料の応答パターン

    模倣

    味覚

    パターン認識

    Score (1), 60.6%

    Scor

    e (2

    ), 26

    .7%

    TraPepMyoLysLip

    LacGIgGHRPHemGOX

    GalFibConCatCar

    BSAlacAAntAmyHSA

    例︓20 種類のタンパク質の識別

    腸内細菌

    腸内細菌叢

    Firmicutes

    Actinobacteria

    Bacteroidetes

    Score (1), 31.2%

    Scor

    e (2

    ), 26

    .8%

    Proteo-bacteria

    Score (1)

    HealthyInsomnia

    Figure 1

    Figure 2

    R =

    R =

    NH3+ OH

    NH

    O

    R =

    NHO

    NH

    R

    O

    547113NH

    OO

    N H

    NH

    O

    NH3+

    NH3+

    Recognition unit

    Transduction unitR

    S OO

    N

    NO

    N

    S NOO

    NH

    O OHO

    COOH

    S

    ACS AMI, 2017ACS Sens., 2019

    ACS AMI, 2019

    R =

    Response patternsof samples

    Mimic

    The taste system

    Pattern-recognition

    Score (1), 60.6%

    Scor

    e (2

    ), 26

    .7%

    TraPepMyoLysLip

    LacGIgGHRPHemGOX

    GalFibConCatCar

    BSAlacAAntAmyHSA

    Ex. Identification of 20 different proteins

    Figure 1 (English)

    Proteins

    Score (1), 60.6%

    Scor

    e (2

    ), 26

    .7%

    TraPepMyoLysLipLacGIgGHRPHemGOX

    GalFibConCatCarBSAlacAAntAmyHSA

    -10

    -50

    5

    Scor

    e (3

    ), 5.

    8%

    -10-50

    510

    Score (2), 9.5%

    -10

    0

    10

    20

    Scor

    e (1

    ), 80

    .3%

    HL60P388

    Raji

    HuH7

    HeLa

    Mammalian cells

    A431

    MCF7

    TIGMG63

    MDA

    Score (1), 76.7%

    Scor

    e (2

    ), 18

    .7%

    Native

    Denatured

    Aggregated

    Antibody AAntibody B

    Young Senescent

    Score (1)

    Scor

    e (2

    )Sc

    ore

    (3)

    Cell senescence Antibody degradation

    Cell differentiation Mammalian sera

    Score (1), 93.6%

    Scor

    e (2

    ), 6.

    4% Bovine

    Human

    HorseRabbit

    Fetal bovineUndiff.

    Osteo. Adipo.

    Score (1), 80.5%

    Scor

    e (2

    ), 19

    .5%

    Gut-derived bacteria

    Gut microbiome

    Firmicutes

    Actinobacteria

    Bacteroidetes

    Score (1), 31.2%

    Scor

    e (2

    ), 26

    .8%

    Proteo-bacteria

    Score (1)

    HealthyInsomnia

    Figure 2 (English)

    本研究の一部は、JSPS 科研費 20H02774 および 17H04884 の助成を受けたものです。