OUR TECHNOLOGIES

We evaluate enzymatic activity at single protein level.

We can live well when our "cells" are working properly. Within cells are “proteins”, which consist of several types including enzymes. Enzymes play various important roles in “cells” function. For example, if the enzyme that acts as scissors cuts more substrates than usual, or, conversely, stops cutting at all, the cells will not work well. Often times, this change in enzyme activity is known to cause or worsen disease. Thus, we can accurately detect disease by evaluating the enzyme performance or activity at each enzyme level.

「細胞」が正常に働く
「細胞」が正常に働かない

Single-molecule Enzyme Activity-Based Liquid Biopsy

STEP1)

Diluted blood with multi-colored fluorescent enzyme substrates are added to a microdevice with numerous wells with a diameter of 3 µm. Probability wise, each well will include one or zero enzyme. The enzymes metabolize the fluorescent enzyme substrates, producing fluorescent material in the wells. Fluorescence microscopy provides fluorescent signals with an intensity corresponding to the activity of each enzyme.

マイクロデバイスに、希釈血液と、複数色の蛍光性酵素基質
強度の蛍光シグナル

STEP2)

Diseases such as cancers are diagnosed based on difference in enzyme activity profiles, such as number of enzymes (based on number of glowing wells) and enzyme activity (fluorescence intensity of each color).

酵素活性プロファイル

Fluorescent enzyme substrates (fluorescent probes)

We designed and developed our own fluorescent enzyme substrates that fluoresce when metabolized by certain enzyme groups.

To date, more than 100 fluorescent enzyme substrates have been developed, including ALP (Alkaline phosphatases), ENPP (Ectonucleotide pyrophosphatases/phosphodiesterases), MMP (Matrix metalloproteinases), DPP (Dipeptidyl peptidases), Aminopeptidases, etc.

Enzyme subtypes can be distinguished by the differences in the enzyme reactivity to the fluorescent enzyme substrate of each color.

蛍光性酵素基質(蛍光プローブ)

THREE ADVANTAGES

1. High predictive accuracy

Existing diagnostics mostly detect proteins which include DNA, mRNA, and enzymes, but detecting the change levels of such proteins may not accurately capture changes in disease state.

Our technology utilizes "enzyme activity" which is directly related to cellular function and is thought to more accurately reflect the disease state as an indicator.

Diagnoses with high predictive accuracy is made possible by capturing the intensity of activity for each molecule of enzyme.

遺伝子・RNA・タンパク質

2. High detection sensitivity

For example, in the conventional ELISA method, 10 million enzymes are required for detection.

Our technology enables enzymes to be detected at single enzyme level with a microdevice, thus allowing for earlier diagnosis.

高い検出感度

3. Detectable with less than a drop of blood

Since 1 µL of blood is sufficient for diagnosis, evaluation is possible with a very small amount of sample.

高い検出感度

RESEARCH ACHIEVEMENTS

Multiplexed single-molecule enzyme activity analysis for counting disease-related proteins in biological samples
Shingo Sakamoto, Toru Komatsu, Rikiya Watanabe, Yi Zhang, Taiki Inoue, Mitsuyasu Kawaguchi, Hidehiko Nakagawa, Takaaki Ueno, Takuji Okusaka, Kazufumi Honda, Hiroyuki Noji, Yasuteru Urano

This study established the academic foundation of Cosomil’s technology and introduced Single-molecule Enzyme Activity Profiling (SEAP), a method for analyzing enzyme activity at the single-molecule level using fluorogenic substrates and microdevices. It demonstrated that multiple enzyme activities in blood can be detected and differentiated, and identified pancreatic cancer-associated alterations in ENPP3 activity clusters.

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Development of fluorogenic substrates for colorectal tumor-related neuropeptidases for activity-based diagnosis
Norimichi Nagano, Yuki Ichihashi, Toru Komatsu, Hiroyuki Matsuzaki, Keisuke Hata, Toshiaki Watanabe, Yoshihiro Misawa, Misa Suzuki, Shingo Sakamoto, Yu Kagami, Ayumi Kashiro, Keiko Takeuchi, Yukihide Kanemitsu, Hiroki Ochiai, Rikiya Watanabe, Kazufumi Honda, and Yasuteru Urano

This University of Tokyo-led study developed fluorogenic substrates for detecting M3 metalloprotease activity and demonstrated elevated activity in colorectal cancer tissues and blood samples. The results support the broader applicability of SEAP-based liquid biopsy beyond pancreatic cancer.

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Identification of activity-based biomarkers for early-stage pancreatic tumors in blood using single-molecule enzyme activity screening
Shingo Sakamoto, Hideto Hiraide, Mayano Minoda, Nozomi Iwakura, Misa Suzuki, Jun Ando, Chiharu Takahashi, Ikuko Takahashi, Kazue Murai, Yu Kagami, Tadahaya Mizuno, Tohru Koike, Satoshi Nara, Chigusa Morizane, Susumu Hijioka, Ayumi Kashiro, Kazufumi Honda, Rikiya Watanabe, Yasuteru Urano, Toru Komatsu

This study applied SEAP to identify blood-based activity biomarkers for early-stage pancreatic cancer. Abnormal activities of enzymes such as DPP4 and CD13 were detected in Stage I–II patients, forming the scientific foundation of Cosomil’s diagnostic approach.

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Single-Molecule Oxidoreductase Activity Analysis for Activity-Based Diagnosis Based on Proteoform Alterations
Mayano Minoda, Junpei Hatakeyama, Norimichi Nagano, Tadahaya Mizuno, Takumi Iwasaka, Sho Shiga, Kazuki Takahashi, Hideto Hiraide, Shingo Sakamoto, Yu Kagami, Ayumi Kashiro, Kazufumi Honda, Yuki Sugiura, Kazuhiko Mishima, Masayo Kaneko Mishima, Hiroyuki Kusuhara, Yasuteru Urano, Toru Komatsu

This study extended SEAP to oxidoreductases using NAD(P)H-responsive fluorogenic probes optimized for microdevice-based measurements. It demonstrated that oxidoreductase activity can be profiled in body fluids, expanding biomarker discovery beyond proteases.

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Solid-Phase Synthesis of ProTide Fluorogenic Probes Enables Systematic Profiling of Carboxypeptidase Activity
Toru Komatsu, Mayano Minoda, Takako Uchida, Momoka Hata, Shunsuke Kanai, Hideto Hiraide, Yu Kagami, Kazufumi Honda, Yasuteru Urano

This study developed an efficient solid-phase synthesis method for ProTide-based fluorogenic probes, enabling systematic profiling of carboxypeptidase activity. It identified pancreatic cancer-associated increases in this enzyme class, broadening the scope of SEAP-based biomarker discovery.

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Development of single-molecule protease activity analysis platform to elucidate disease-related alterations of circulating proteoform signatures
Shingo Sakamoto, Hideto Hiraide, Tadahaya Mizuno, Mayano Minoda, Norimichi Nagano, Misa Suzuki, Nozomi Iwakura, Ayumu Kashiro, Satoshi Nara, Chigusa Morizane, Susumu Hijioka, Kazufumi Honda, Yu Kagami, Rikiya Watanabe, Yasuteru Urano, Toru Komatsu

This study established an automated and highly reproducible platform for SEAP-based protease activity analysis in blood. The platform enables scalable data acquisition and supports the clinical development of activity-based diagnostics.