Introduction
PTseq™ Pathogen Targeted Sequencing is based on ultra-multiplex PCR and targeted next-generation sequencing technology (tNGS). It specifically amplifies target genes and performs sequencing on a high-throughput sequencing platform. Through database comparison and bioinformatics algorithm analysis, it can identify suspected pathogenic microorganisms, resistance genes, and virulence gene information, thereby significantly improving the positive rate of pathogen diagnosis, assisting clinicians in formulating personalized anti-infection treatment regimens, reducing the risk of drug resistance, and aiding in precise diagnosis and treatment of infections.
What Clinical Challenges Does PTseq™ Pathogen Targeted Sequencing Address
PTseq™ is for patients with respiratory infections, and can quickly identify 274 common clinical pathogenic microorganisms, drug-resistant genes, and virulence genes. It provides early detection, comprehensive analysis, and auxiliary treatment, which can save lives and reduce medical expenses, especially for the most difficult-to-diagnose or immunocompromised patients with wider potential pathogens.
- Applicable Population
Patients with respiratory infections, including upper respiratory tract infections, lower respiratory tract infections, tuberculosis infections, chronic respiratory infections, etc.
- Sample Types
PTseq™ is applicable to various types of respiratory samples:
BALF, sputum, swab, and other respiratory fluid samples such as pulmonary fluid and endotracheal aspirated fluids, etc.
- Detection Content
Comprehensive coverage of 274 targets, including 232 common pathogens associated with respiratory infection syndromes and 42 clinically representative antibiotic resistance genes and virulence genes.
Localization Solution of PTseq™ Pathogen Targeted Sequencing
The solution includes all modules of instruments, reagents, analysis software, and tech-transfer service which can realize the whole process of sample processing, sequencing, and reporting locally.
| Sequencer | Maximum Samples/Flow cell | Sequencing Time | Data Volume |
|---|---|---|---|
| DNBSEQ-G99 | 48 | 3.5h | ≥80M Reads/Chip |
| DNBSEQ-E25 | 32 | 4h | ≥20M Reads/Chip |
Why Choose PTseq™
- High Specificity
No background interference, positive enrichment, and species-specific sequences, greatly improving the target detection rate.
- High Sensitivity
No background interference + positive enrichment.
- Wide Coverage
Covering more than 95% of respiratory tract infection pathogens.
- No Lab Culture Required
Direct extraction of nucleic acid, microbial culture not required.
- Fast and Convenient
Simultaneous DNA and RNA pathogen detection for quick results.
- High Cost Effectiveness
Significantly lower cost and higher clinical applicability compared with mNGS (metagenomics next-generation sequencing).
- Comprehensive Anti-pollution System
- Intra-batch Contamination Risk Prevention and Control
The dual barcode technology is adopted, where the sample is marked with a unique label in each round of PCR marks, accurately identifying and correcting the bioinformatics process, and strictly controlling the risk of cross-contamination within a single batch.
The bioinformatics process automatically identifies and filters contaminated sequences to reduce the false positive rate of detection results.
2. Batch-to-batch Contamination Risk Prevention and Control
The thermosensitive UDG enzyme anti-contamination technology is adopted to remove PCR residual products and prevent batch-to-batch contamination in the first place.
- Patented Primer Design System
Core Primer Design System for Efficient Amplification of Pathogens.
1. Database: Based on the clinical-level microbial sequence database PTDB of BGI, the precise selection of pathogen-specific regions is ensured.
2. Primer Design Algorithm: An efficient primer design algorithm ensures that the primer sequence is highly common within a single pathogen species and highly specific to differentiate different pathogen species.
3. Multi-Target Primer Design: A multi-target primer design strategy is adopted to ensure efficient amplification of pathogen targets and avoid off-target detection, so that the positive rate and minimum detection limit can be greatly improved.
List of 274 Detectable Pathogen Targets
| Bacteria (72 types) | Gram-positive bacteria (34 types) | Streptococcus pneumoniae, Streptococcus pyogenes, Streptococcus agalactiae, Streptococcus constellatus, Streptococcus dysgalactiae, Staphylococcus aureus, Mycobacterium tuberculosis complex, Mycobacterium avium complex (MAC), Mycobacterium kansasii, Mycobacteroides abscessus, Mycobacteroides chelonae, Mycolicibacterium fortuitum, Enterococcus faecalis, Enterococcus faecium, Corynebacterium diphtheriae, Corynebacterium striatum, Rhodococcus equi, Listeria monocytogenes, Erysipelothrix rhusiopathiae, Clostridium perfringens, Bacillus anthracis, Nocardia abscessus, Nocardia asteroides, Nocardia cyriacigeorgica, Nocardia farcinica, Nocardia brasiliensis, Nocardia nova, Nocardia otitidiscaviarum, Nocardia paucivorans, Nocardia pseudobrasiliensis, Nocardia veterana, Nocardia wallacei, Nocardia concava, Tropheryma whipplei |
| Gram-negative bacteria (38 types) | Yersinia pestis, Pseudomonas aeruginosa, Haemophilus influenzae, Legionella pneumophila, Legionella bozemanae, Legionella_micdadei, Klebsiella pneumoniae, Klebsiella aerogenes, Klebsiella oxytoca, Acinetobacter baumannii, Escherichia coli, Enterobacter cloacae, Proteus mirabilis, Proteus vulgaris, Proteus penneri, Streptobacillus moniliformis, Bordetella pertussis, Bordetella parapertussis, Bordetella avium, Bordetella bronchiseptica, Bordetella holmesii, Burkholderia mallei, Burkholderia pseudomallei, Burkholderia cepacia, Stenotrophomonas maltophilia, Morganella morganii, Salmonella enterica, Pasteurella multocida, Neisseria meningitidis, Moraxella catarrhalis, Bacteroides fragilis, Serratia marcescens, Fluoribacter dumoffii, Brucella, Francisella tularensis, Citrobacter freundii, Elizabethkingia meningoseptica, Achromobacter xylosoxidans | |
| Virus (95 types) | DNA virus (33 types) | Monkeypox virus, Human bocavirus 1 , Human bocavirus 2, Human bocavirus 3, Human bocavirus 4, Human adenovirus , Human mastadenovirus A, Human mastadenovirus B, Human adenovirus B3, Human adenovirus 7, Human adenovirus 11, Human adenovirus 14, Human adenovirus 21, Human adenovirus 34, Human adenovirus 35, Human adenovirus 56 , Human mastadenovirus C, Human adenovirus 1, Human adenovirus 2, Human adenovirus 5, Human adenovirus 6, Human mastadenovirus D, Human mastadenovirus E, Human adenovirus E4 , Human alphaherpesvirus 1 (Herpes simplex virus type 1) , Human alphaherpesvirus 2, Human alphaherpesvirus 3 (Varicella-zoster virus) , Human betaherpesvirus 5 , Human betaherpesvirus 6A , Human betaherpesvirus 6B , Human gammaherpesvirus 4 (Epstein-Barr virus) , BK polyomavirus, JC polyomavirus |
| RNA virus (62 types) | Influenza A virus, Influenza A virus H1N1, Influenza A virus H3N2, Influenza A virus H5N1, Influenza A virus H5N6, Influenza A virus H7N9, Influenza B virus, Influenza C virus, Human orthopneumovirus, Human respiratory syncytial virus A, Human respiratory syncytial virus B, Human coronavirus OC43 , Human coronavirus 229E, Human coronavirus HKU1, Human coronavirus NL63, 2019-nCoV (SARS-CoV-2), Middle East respiratory syndrome-related coronavirus , Mumps rubulavirus, Human respirovirus 1, Human rubulavirus 2, Human respirovirus 3, Human rubulavirus 4, Measles morbillivirus, Human metapneumovirus, Rhinovirus, Rhinovirus A, Rhinovirus B, Rhinovirus C, Enterovirus, Enterovirus A , Enterovirus A71 , Enterovirus B, Enterovirus C, Enterovirus D, enterovirus D68, Coxsackievirus A2 , Coxsackievirus A5 , Coxsackievirus A6, Coxsackievirus A8 , Coxsackievirus A9, Coxsackievirus A10 , Coxsackievirus A12 , Coxsackievirus A16, Coxsackievirus A19 , Coxsackievirus B1, Coxsackievirus B2, Coxsackievirus B3, Coxsackievirus B4, Coxsackievirus B5, Coxsackievirus B6, Echovirus E4, Echovirus E11, Echovirus E17, Echovirus E18, Echovirus E19, Echovirus E20, Echovirus E24, Echovirus E25, Echovirus E33, Human poliovirus 1, Parechovirus A, Rubella virus | |
| Fungi (50 types) | Candida albicans, Candida orthopsilosis, Candida parapsilosis, [Candida] glabrata, Candida tropicalis, Pichia kudriavzevii , Cryptococcus neoformans, Cryptococcus gattii , Cryptococcus deuterogattii, Cryptococcus bacillisporus, Cryptococcus tetragattii, Histoplasma capsulatum, Talaromyces marneffei, Aspergillus niger, Aspergillus fumigatus, Aspergillus flavus, Aspergillus lentulus, Aspergillus nidulans, Aspergillus oryzae, Aspergillus terreus, Lichtheimia corymbifera, Lichtheimia ramosa, Rhizopus oryzae (Rhizopus arrhizus), Rhizopus microsporus, Rhizomucor pusillus, Actinomucor elegans, Mucor circinelloides, Mucor indicus, Mucor irregularis, Mucor racemosus, Pneumocystis jirovecii, Coccidioides immitis, Coccidioides posadasii, Magnusiomyces capitatus, Trichosporon asahii, Scedosporium apiospermum, Clavispora lusitaniae, Blastomyces dermatitidis, Blastomyces gilchristii, Blastomyces parvus, Cunninghamella bertholletiae, Cunninghamella elegans, Apophysomyces elegans, Emergomyces orientalis, Emergomyces pasteurianus, Fusarium solani, Geotrichum candidum, Sporothrix brasiliensis, Sporothrix schenckii, Syncephalastrum racemosum | |
| Other pathogens (15 types) | Mycoplasma pneumoniae, Chlamydia pneumoniae, Chlamydia psittaci, Chlamydia trachomatis, Bartonella bacilliformis, Bartonella henselae, Bartonella quintana, Rickettsia rickettsii, Rickettsia prowazekii, Rickettsia typhi, Orientia tsutsugamushi, Coxiella burnetii, Ureaplasma parvum, Ureaplasma urealyticum, Paragonimus westermani | |
| Drug resistance genes (31 types) | IMP, NDM, SPM, KPC, PER, VIM, SIM, DIM, OXA, ACT, GIM, CTX-M, GES, VEB, CMY, OKP, TLA, ACC, MOX, MIR, QnrA, QnrB, mecA, MCR, vanA, vanB, vanC, SHV, FOX, sul, 23S rRNA | |
| Virulence genes (11 types) | rmpA, fyuA, fepA, iroN, iutA, cnf1, sat, eta, etb, tox, MPN372 | |
Download PTseq™ Pathogen Targeted Sequencing Overview
