TY - JOUR
T1 - Data storage using peptide sequences
AU - Ng, Cheuk Chi A.
AU - Tam, Wai Man
AU - Yin, Haidi
AU - Wu, Qian
AU - So, Pui Kin
AU - Wong, Melody Yee Man
AU - Lau, Francis C.M.
AU - Yao, Zhong Ping
N1 - Funding Information:
We thank Prof. Henry Lam (Hong Kong University of Science and Technology) and Prof. Jiang Xia (Chinese University of Hong Kong) for their helpful discussions, Dr. Bin Hu (Jinan University) for his assistance, and University Research Facility in Chemical and Environmental Analysis and University Research Facility in Life Sciences of The Hong Kong Polytechnic University for the technical supports. Z.-P.Y. would like to give thanks to Fudan8420 WeChat Group for the helpful discussion. This work was supported by Hong Kong Research Grant Council (Grant Nos. R5013-19F, C5031-14E, 153041/17 P, 15304020, C4002-17G, and R4005-18), Natural Science Foundation of China (Grant Nos. 81874306 and 81601828), and China Resources Life Sciences Group Limited.
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/12
Y1 - 2021/12
N2 - Humankind is generating digital data at an exponential rate. These data are typically stored using electronic, magnetic or optical devices, which require large physical spaces and cannot last for a very long time. Here we report the use of peptide sequences for data storage, which can be durable and of high storage density. With the selection of suitable constitutive amino acids, designs of address codes and error-correction schemes to protect the order and integrity of the stored data, optimization of the analytical protocol and development of a software to effectively recover peptide sequences from the tandem mass spectra, we demonstrated the feasibility of this method by successfully storing and retrieving a text file and the music file Silent Night with 40 and 511 18-mer peptides respectively. This method for the first time links data storage with the peptide synthesis industry and proteomics techniques, and is expected to stimulate the development of relevant fields.
AB - Humankind is generating digital data at an exponential rate. These data are typically stored using electronic, magnetic or optical devices, which require large physical spaces and cannot last for a very long time. Here we report the use of peptide sequences for data storage, which can be durable and of high storage density. With the selection of suitable constitutive amino acids, designs of address codes and error-correction schemes to protect the order and integrity of the stored data, optimization of the analytical protocol and development of a software to effectively recover peptide sequences from the tandem mass spectra, we demonstrated the feasibility of this method by successfully storing and retrieving a text file and the music file Silent Night with 40 and 511 18-mer peptides respectively. This method for the first time links data storage with the peptide synthesis industry and proteomics techniques, and is expected to stimulate the development of relevant fields.
UR - http://www.scopus.com/inward/record.url?scp=85110443081&partnerID=8YFLogxK
U2 - 10.1038/s41467-021-24496-9
DO - 10.1038/s41467-021-24496-9
M3 - Journal article
C2 - 34257289
AN - SCOPUS:85110443081
SN - 2041-1723
VL - 12
SP - 1
EP - 10
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 4242
ER -