{"id":1010,"date":"2020-12-26T09:44:24","date_gmt":"2020-12-26T00:44:24","guid":{"rendered":"https:\/\/bitbiome.co.jp\/?page_id=1010"},"modified":"2022-12-09T17:19:45","modified_gmt":"2022-12-09T08:19:45","slug":"technology","status":"publish","type":"page","link":"https:\/\/bitbiome.co.jp\/en\/technology\/","title":{"rendered":"TECHNOLOGY"},"content":{"rendered":"
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Single-cell genomics Data for breakthroughs
in synthetic biology and biotech industry<\/h2>\n

Our new analytical platform, bit-MAP®<\/sup>, which sequences individual bacterial cells to explosively uncover novel genomes and genes through the high-throughput manner. Using bit-MAP®<\/sup>, bitBiome has established largest and highest-resolution gene data in our proprietary database, bit-GEM. bit-GEM has vast unique genes which cannot be found in public database or obtained by shotgun metagenomes.<\/p>\n<\/section>\n

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bit-MAP®<\/sup> :
bitBiome Microbiome Analysis Platform<\/h2>\n
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Hundreds of microbial whole genomes at a time<\/h3>\n

bit-MAP®<\/sup> eliminates conventional hurdles for microbiome research such as isolation, culture and complex data processing. This technology enables massively parallel whole-genome sequencing of diverse individual microbes to provide new insights into unknown strains.
Please refer to the sample dataset of gut microbiome.<\/p>\n<\/p><\/div>\n

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High-quality genomic information from a single cell<\/h3>\n

In bit-MAP®<\/sup>, microbes are individually encapsulated, with multi-step biochemical reactions including cell lysis and DNA amplification occurring inside the capsules. Individual bacterial genomes are accurately sequenced by analyzing the DNA within each capsule.
\n Publications<\/a> : Chijiiwa R et al. Microbiome. 2020.<\/a> , Yoda T et al. Genome Resource Announcement. 2020.<\/a> , Nishikawa Y et al. bioRxiv. 2020.<\/a> <\/p>\n

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Bioinformatic analysis at single-cell resolution<\/h3>\n

Our unique bioinformatics platform accurately reconstructs microbial genomes at
\nthe sub-strain level. It elucidates not only genetic and functional information of
\nindividual bacteria, but also genetic differences between target and related strains.
\n Publications<\/a> : Kogawa M et al. Scientific Reports. 2018.<\/a> <\/p>\n

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Advantages of bit-MAP®<\/sup><\/h2>\n

Towards a comprehensive understanding of target microbiomes<\/h3>\n

bit-MAP®<\/sup> achieves functional analyses of individual bacteria that would be
\ndifficult with existing technologies.<\/p>\n

\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Method<\/th>\nIsolation, Cultivation,
\n and Sequencing<\/td>\n		16S rRNA
\n Sequencing<\/td>\n		Shotgun
\n metagenomics<\/td>\n		bit-MAP®<\/sup>:
\n Single-cell genomics<\/td>\n<\/tr>\n<\/thead>\n
Target<\/th>\nIsolated bacteria<\/td>\nAny microbial samples (incl. unculturable ones) <\/td>\n<\/tr>\n
Pre-study<\/th>\nRequired (over months) <\/td>\nNot required<\/td>\n<\/tr>\n
Objective<\/th>\nDeep understanding of
one type of bacteria <\/td>\n		Community-level analysis<\/td>\nDeep understanding of
individual bacterial functions<\/td>\n<\/tr>\n
Principle<\/th>\nSequence the entire genome
of a single microbe <\/td>\n		Sequence 16S rRNA<\/td>\nSequence a mixture
\n of microbial genomes genomes <\/td>\n		Individually sequence whole<\/td>\n<\/tr>\n
Resolution<\/th>\nStrain <\/td>\nGenus <\/td>\nSpecies<\/td>\nStrain <\/td>\n<\/tr>\n
Expected results<\/th>\nWhole genome sequences,
\n I plasmid sequences, and gene
\n lists of a single microbe <\/td>\n		Ratios of microbes present <\/td>\nRatios of microbes
and genes present <\/td>\n		Whole genome sequences,
plasmid sequences,
and gene lists of
individual microbes <\/td>\n<\/tr>\n
Potential bias<\/th>\nSmall<\/td>\nLarge<\/td>\nSmall<\/td>\nSmall<\/td>\n<\/tr>\n
Contamination risk <\/th>\nSmall<\/td>\nLarge<\/td>\nLarge<\/td>\nSmall<\/td>\n<\/tr>\n
Analytical load<\/th>\nSmall<\/td>\nSmall<\/td>\nLarge<\/td>\nControllable<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n<\/section>\n
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Case Study: Analyzing soil microbiome <\/h2>\n

Higher-quality microbial genomes even from complex microbiome samples<\/strong><\/p>\n

When compared to the shotgun metagenomic sequencing, our single-cell sequencing method discovered more than 10-fold unique genes from the same amount of sequencing data (~80Gbp). Notably, while the metagenomic method suffers from obtaining longer genes (>300 amino acid residues), bit-MAP\u00ae can robustly recover genes at any sizes, even longer than 600 residues. <\/p>\n

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bit-GEM: Gene Encyclopedia from Microbes<\/sup><\/h2>\n

Unearth ‘microbial dark matter’ to build proprietary database<\/h3>\n

bitBiome is accelerating the world of synthetic biology with our massive and highest-resolution microbial genome library obtained from a wide range of environments, such as soil, marine water or extreme environment microbiomes.
\nbit-MAP®<\/sup> can help unearth ‘microbial dark matter’, which would have enormous potential as industrial applications, such as synthetic biology and biocatalysis applications.
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\nOur bit-GEM contains a vast amount of unique gene data that cannot be obtained by shotgun metagenomic analysis and is not yet available in public databases, and bitBiome will support research and development by providing the best genes for our clients’ projects.<\/p>\n

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bit-QED: bitBiome-Quality Enzyme Discoverer<\/sup><\/h2>\n

Enzyme Discovery and Optimization through bit-GEM, in silico DOE, and high-throughput system<\/h3>\n

bitBiome utilizes bit-QED platform which integrates bioinformatics and chemoinformatics technologies to select optimal candidate sequences from the vast candidate sequences in the bit-GEM at high throughput manner.<\/p>\n

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Single-cell genomics Data for breakthroughs in synthetic biology and biotech industry Our new analytical platform, bit-MAP®, which sequences individual bacterial cells to explosively uncover novel genomes and genes through the high-throughput manner. Using bit-MAP®, bitBiome has established largest and highest-resolution gene data in our proprietary database, bit-GEM. bit-GEM has vast unique genes which cannot be […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_locale":"en_US","_original_post":"http:\/\/118.27.6.192\/?page_id=690","footnotes":""},"class_list":["post-1010","page","type-page","status-publish","hentry","en-US"],"aioseo_notices":[],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/bitbiome.co.jp\/wp-json\/wp\/v2\/pages\/1010","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bitbiome.co.jp\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bitbiome.co.jp\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bitbiome.co.jp\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/bitbiome.co.jp\/wp-json\/wp\/v2\/comments?post=1010"}],"version-history":[{"count":25,"href":"https:\/\/bitbiome.co.jp\/wp-json\/wp\/v2\/pages\/1010\/revisions"}],"predecessor-version":[{"id":2211,"href":"https:\/\/bitbiome.co.jp\/wp-json\/wp\/v2\/pages\/1010\/revisions\/2211"}],"wp:attachment":[{"href":"https:\/\/bitbiome.co.jp\/wp-json\/wp\/v2\/media?parent=1010"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}