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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。