Literature DB >> 16381918

FlyRNAi: the Drosophila RNAi screening center database.

Ian Flockhart1, Matthew Booker, Amy Kiger, Michael Boutros, Susan Armknecht, Nadire Ramadan, Kris Richardson, Andrew Xu, Norbert Perrimon, Bernard Mathey-Prevot.   

Abstract

RNA interference (RNAi) has become a powerful tool for genetic screening in Drosophila. At the Drosophila RNAi Screening Center (DRSC), we are using a library of over 21,000 double-stranded RNAs targeting known and predicted genes in Drosophila. This library is available for the use of visiting scientists wishing to perform full-genome RNAi screens. The data generated from these screens are collected in the DRSC database (http://flyRNAi.org/cgi-bin/RNAi_screens.pl) in a flexible format for the convenience of the scientist and for archiving data. The long-term goal of this database is to provide annotations for as many of the uncharacterized genes in Drosophila as possible. Data from published screens are available to the public through a highly configurable interface that allows detailed examination of the data and provides access to a number of other databases and bioinformatics tools.

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Year:  2006        PMID: 16381918      PMCID: PMC1347476          DOI: 10.1093/nar/gkj114

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


INTRODUCTION

In recent years, we have witnessed the wide application of high-throughput screening (HTS) technologies to approach biological questions. Arguably, the most promising HTS approach for discovering gene function is based on RNA interference (RNAi). RNAi results in the silencing of a gene through the specific degradation of its mRNA, which is triggered by double-stranded RNA (dsRNA) fragments complementary to that transcript. In Drosophila, RNAi can be achieved in cell lines and primary cells simply by adding long dsRNA to the medium (1,2). The long dsRNA are taken up by the cells, and are rapidly processed to 21–24 nt short-interfering RNAs (siRNAs) that guide the specific degradation of target mRNAs. The biochemical steps involved in the processing of dsRNAs and loading of the siRNAs into the RNA-induced silencing complex (RISC) are carried out by a number of proteins, including members of the Dicer protein family (3). In the last 2 years that technique has been adapted to HTS, allowing genome-wide screens to be performed efficiently in 384-well assay plates (1). With the support of a grant from NIGMS, we created in May 2003 the Drosophila RNAi Screening Center (DRSC) () with the following goals: Make genome-wide RNAi screening technology available to the scientific community by providing a facility with the required infrastructure and expertise. Provide a common platform to diminish variables between screens, allowing for functional comparisons across studies. Create a database, in a standardized format, for the repository of results from all screens, which, upon publication, are made available to the public. The public database is divided into sections that offer researchers several basic data viewing options as well as a number of bioinformatic tools and links to other databases. The long-term purpose of the database is to provide experimental information to functionally annotate uncharacterized genes in Drosophila, to give a comprehensive list of genes involved in distinct cell biological and cell signaling processes and to be a resource for data mining by the scientific community.

SCREENING AT THE DRSC

Visiting scientists typically perform their screens in duplicate—screening against two full-genome sets. Raw data from duplicate genome sets are collected along with phenotype and ‘hit’ information. Data are primarily stored by plate and well, rather than by dsRNA, which allows for comparison between genome sets and facilitates plate-wide analysis. The scientists perform their screens blind—only learning the identity of the dsRNA in a particular well after entering the data from that well into the system. Once the screen is completed, the data are held privately until the results are published or a 2 year period passes after completion of the screen. The scientists have password-protected accounts which give them access to data entry interfaces and direct links to their personal data, both published and unpublished. The scientist's data are broken down by assay. Any changes the scientist may make to the experimental data display (as described below) are saved between sessions. The logged in user also has access to some tools for viewing data a plate at a time, direct links to the bioinformatic tools (listed below) and functions for directly querying the quality control (QC) information for the source plates. An important aspect of how the database is organized is in the distinction among genes, amplicons and dsRNAs. The dsRNA library was designed in collaboration with R. Paro's group and collaborators (ZMBH Heidelberg) (4). The approach taken was to generate gene-specific primers to 21396 putative open reading frames (ORFs) covering the entire Drosophila genome. Choice of the primers was based on the combined genome annotations available from BDGP/Celera (5) and the Sanger Center. A pair of a specific forward and reverse primer was used to amplify a genomic region (henceforth called amplicon) corresponding to each predicted ORF. Each amplicon, flanked by RNA polymerase T7 promoters, was in turn used as a template in an in vitro transcription reaction to generate dsRNA. As new releases of the Drosophila genome result in slightly revised annotations, the predicted gene target of each amplicon may change accordingly. Because of this unavoidable issue, result and ‘hit’ information from screens is focused more on amplicons and the corresponding dsRNA than on genes. However, the key piece of information that remains invariant is the nucleotide sequence of the specific region encompassed by an amplicon and by extension of its related dsRNA. For the purpose of data tracking in the database, the term amplicon can refer to two distinct biological entities that are related through their sequences: the DNA fragment amplified with specific primers or its corresponding dsRNA.

WEBSITE OVERVIEW

The main URL for the public database is . This page has four major parts; a menu bar to the left, a link to the Gene Lookup Page (Search for Genes in Public Screens), a list of public screens below it for which all data are accessible, and a list of ongoing screens for which the data are kept confidential until the time of publication or the 2 year limit after their completion, whichever comes first (Figure 1).
Figure 1

The DRSC Data page. Published works are bordered in black. Screens awaiting publication are listed below, bordered in gray.

The menu bar provides links to a number of informational resources. The ‘About Us’ link provides general information about the DRSC, such as personnel, location, equipment, funding and DRSC news. The ‘Screening’ header opens up a ‘how-to’ section and summarizes the current protocols in use at the DRSC to conduct RNAi screens in the 384-well plate format (1). The ‘Applications’ link is for scientists interested in submitting an application to come and carry out a screen at the DRSC. The ‘Literature’ and ‘Links’ pages are lists of external resources that the DRSC wishes to highlight for RNAi screeners. The ‘Tools’ section consists of a number of small bioinformatics applications that we have developed to help screeners or interested scientists search for and manage information displayed in the Data section of the database. It also offers links to other databases with the purpose of providing additional information on particular genes or gene function. The published screens page is organized by screen publication date, the most recent of which are listed first. Each screen field consists of the title and the authors of the screen. A pdf file of the publication, as well as the supplementary data (when available), are included whenever possible. One or more direct links are provided to access the raw data, with a listing of the dsRNAs (or their corresponding amplicons) found to have an effect in the assay under study. Immediately below the record, which is updated as is appropriate, of the published screens (6–13) follows a list of screens that have just been completed at the DRSC. These screens are yet to be fully analyzed and have not yet reached the stage of publication. For each unpublished screen listed, the title and brief summary of the screen are given along with details about the scientists involved in the screen (names, academic affiliation, etc.). A contact email address is provided for each screen.

EXPERIMENTAL DATA INTERFACE

Each screen has links to one or more listings of the amplicons for which phenotypic data was entered during that assay. Multiple listings appear in cases when several different assays were combined in the screen, such as when two different cell lines are screened for comparison. Each listing is organized in rows representing DRSC amplicons. The data being displayed are fully configurable by the user (Figure 2).
Figure 2

The Experimental Data Summary page. The columns shown are a typical example of the data that may be displayed. Data columns are chosen by the user.

The user can use search criteria to display a subset of rows, or use check boxes to indicate the rows to display when a redisplay button is pressed. More significantly, the user can sort the data, based on any displayed column of information, by clicking the column header. The set of columns that is displayed is likewise configurable via a selection menu at the bottom of the page, which offers a choice of over 40 columns of information per row (Table 1). When the page displays data to the user's liking, the displayed contents of the page can be saved as a tab-delimited text file, to be imported into the user's spreadsheet program of choice.
Table 1

Definitions of columns

ColumnInformation
Results information
    HitThis indicates that this amplicon was a positive result in the screen
    PhenotypeThe result or phenotypic information that the scientist recorded
Amplicon information
    DRSC amplicon IDAn identifier assigned to the amplicon by the DRSC
    ‘S’ primerThe primer at the 5′ end of the ORF this amplicon was designed to target
    ‘R’ primerThe primer at the 3′ end of the ORF this amplicon was designed to target
    Amplicon length(s)The predicted length in base pairs of the amplicon
    HDC targetThe predict ORF the amplicon was designed to target
    Hits in public screensThe number of screens which report this amplicon as a hit
Chromosomal location information
    Number of chromosome locationsThe number of sequences the primer pair for the amplicon is predicted to amplify
    Chromosome locationsDetails regarding the genomic positions of the sequences the primer pair for the amplicon is predicted to amplify
    ChromosomeThe chromosome(s) which contains the sequence targeted by the amplicon
    Chromosome startThe genomic position of the first nucleotide of the amplicon
    Chromosome stopThe genomic position of the last nucleotide of the amplicon
Gene information
    Gene symbolThe symbol or name of the gene targeted by this amplicon
    FlyBase gene IDThe FlyBase FBgn identifier of the gene targeted by this amplicon
    Deprecated FlyBase gene IDsFormer FBgn identifiers of the gene targeted by this amplicon
    Gene nameThe gene name of the gene targeted by this amplicon according to FlyBase
    Gene synonymsAlternative names and symbols
    NCBI nucleotide accessionsAccession numbers of nucleotide sequences in GenBank of the gene targeted by this amplicon
    Entrez gene identifiersAn Entrez Gene identifier of the gene targeted by this amplicon
    UniGene identifiersA UniGene identifier of the gene targeted by this amplicon
    RefSeq RNA accessionsA RefSeq identifier of the gene targeted by this amplicon
    HomoloGene group identifiersA HomoloGene group identifier of the gene targeted by this amplicon
    Homo sapiens gene(s) via HomoloGeneThe human orthologue of the gene targeted by this amplicon according to HomoloGene
    Mus musculus gene(s) via HomoloGeneAs above for mouse
    Caenorhabditis elegans gene(s) via HomoloGeneAs above for nematode
    Saccharomyces cerevisiae gene(s) via HomoloGeneAs above for yeast
    Homo sapiens putative orthologues according to inParanoidThe human orthologue of the gene targeted by this amplicon according to InParanoid
    Mus musculus putative orthologues according to inParanoidAs above for mouse
    Caenorhabditis elegans putative orthologues according to inParanoidAs above for nematode
    Saccharomyces cerevisiae putative orthologues according to inParanoidAs above for yeast
    Miscellaneous organism putative orthologues according to inParanoidAs above for miscellaneous organisms
    Homophila—possible human disease homologsA link to Homophila which provides a fly to human disease gene cross-reference
    Gene OntologyGO identifiers for the gene targeted by this amplicon
    Protein domainsProtein domains contained in the gene targeted by this amplicon
Amplicon 21 bp fragment information
    Number of potential off-targets based on 21 bp fragmentsSelf-explanatory
    Maximum continuous sequence overlap of potential off-target(s)Maximum sequence length of a match to an off-target
Quality control information
    RNA concentrationRNA concentration provided for quality control purposes
    Gel evaluationGel-based quality control assay result
    PCR evaluationPCR-based quality control assay result
    PCR T7 evaluationPCR-based quality control assay result
    Gel eval commentAdditional comments about the gel-based quality control assay result
For further details about any row, the user can click the triangle icon at the start of the row to go to the amplicon detail page for that amplicon.

INFORMATIC TOOLS

This page provides a link to the Gene and Amplicon Lookup page (Figure 3). The Gene and Amplicon Lookup function provides a simple interface that allows visitors to get information on any amplicon in the DRSC library related to a particular gene. The search function is flexible and accepts queries by gene name, gene alias, FlyBase gene number (FBgn), CG accession number or by our internal DRSC ID number. When a gene is queried, the user is presented with a detailed page of information about the amplicon(s) found and any gene(s) targeted by it. A gene may have more than one amplicon as the original collection was based on early annotations of the Drosophila genome (5). Subsequent revision of the annotation resulted in several cases in the merging of two ORFs into a single gene. Currently, 1365 genes are targeted by more than one amplicon in our collection. If any amplicon targeting a queried gene has been associated with a phenotype in any public screens, then that information is presented at the top of the page.
Figure 3

Gene Lookup Results page. This master page of amplicon information is available from the Gene and Amplicon Lookup and Data Display pages.

The top section of the results page shows whether a particular gene and its related amplicon(s) have been identified in a public screen as ‘hit’(s). If so, the targeting amplicon is listed with the name of the screen, the phenotype and the screener's evaluation of the strength of that hit (see also Table 1). Below that, there is a section for each amplicon in the DRSC library that targets that gene. It is broken into subsections detailing general information about the amplicon (predicted sequence, primer sequences, length, etc.), genomic position, detailed information about the gene, links to other databases and some historical information relating to the creation of the amplicon. An additional important tool is the off-target sequence search tool. As in the mammalian field, the issue of off-target effects caused by siRNAs is emerging as a significant issue in Drosophila (14,15) and potential off-targets associated with dsRNAs for Caenorhabditis elegans have been annotated at RNAiDB (16). An initial review of the data at the DRSC confirms that off-target effects do happen in Drosophila and need to be taken into account when interpreting knock-down data by long dsRNAs (M. Booker, S. Silver, M. Kulkarni, A. Friedman, N. Perrimon and B. Mathey-Prevot, manuscript in preparation). As discussed earlier, long dsRNA (typically 400 nt) are processed to 21–23 nt siRNAs by the Dicer protein. Dicer does not appear to have a sequence preference for where processing will occur and as a result we do not know in advance which and how many siRNAs are produced from any particular dsRNA. However, we can check any possible 21mer sequence that is included in a given dsRNA (or within its corresponding amplicon) for a possible match with other mRNAs which are not the intended target. Ideally, only one match corresponding to the targeted mRNA should be found. To facilitate this search, we have developed a bioinformatics tool based on our own faster algorithm, somewhat similar to that published by Arziman et al. (17) except that it does not have a built-in primer design component. Our off-target search tool allows a user to provide one or more DNA sequences in FASTA format and search those sequences for predicted off-targets among all fly gene transcripts. The user can specify an off-target length (16–50 bp) with a default value of 21 bp. A color-coded map of gene matches for a given sequence is returned to the user. The map shows regions of the submitted sequences that are devoid of predicted matches with genes other than the intended target (no off-target) as well as stretches which do have matches with off-target genes. The intended or primary target is determined based on a match over all or most of the length of submitted sequence. The tool also reports the number of off-target genes. The sequence extraction tool allows users to retrieve multiple FASTA-formatted DRSC amplicon sequences. It can also be used to retrieve fly gene sequences. The FlyBase Identifier retrieval tool allows the user to do a batch query for FlyBase FBgn identifiers by giving a list of fly gene symbols, names, synonyms and CG accessions. The genetic interactions tool allows the user to construct a graph of genes of interest for their reported genetic interactions based on data stored at FlyBase. The user may query for these by submitting one or more gene symbols, synonyms or FBgn identifiers. The Screen Analysis Tutorial is a series of web pages that provides screen analysis assistance to DRSC screeners as well as to public users interested in mining the data available in our database. This guide offers the user multiple resources and some graphical approaches to help integrate and explore relational associations between DRSC hits and other gene function, ontology or expression data sources.

FUTURE DEVELOPMENTS

The DRSC database/interface is constantly evolving and new experimental data accrue at a pace of ∼20–30 genome-wide screens a year. The DRSC library of amplicons (and dsRNAs) is also evolving as new Drosophila genome annotations come on line, and new insights about the specificity of our dsRNAs come to our attention (e.g. the need to replace amplicons associated with off-target effects). We are committed to the idea that our database be an important resource for public data mining and will make available all screen data as soon as it is permitted by the general agreement signed between the screeners and the DRSC. We will work to provide additional bioinformatic tools and search capabilities to enhance our current database, and we welcome any suggestion or collaboration to improve the integration of our database with others. Finally, we encourage comments to make our database more useful to scientists and hope that similar databases will be created to collect information from RNAi screens in mammalian cells.
  17 in total

1.  Genome-wide RNAi analysis of growth and viability in Drosophila cells.

Authors:  Michael Boutros; Amy A Kiger; Susan Armknecht; Kim Kerr; Marc Hild; Britta Koch; Stefan A Haas; Renato Paro; Norbert Perrimon
Journal:  Science       Date:  2004-02-06       Impact factor: 47.728

2.  RNAiDB and PhenoBlast: web tools for genome-wide phenotypic mapping projects.

Authors:  Kristin C Gunsalus; Wan-Chen Yueh; Philip MacMenamin; Fabio Piano
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

Review 3.  Mechanisms of gene silencing by double-stranded RNA.

Authors:  Gunter Meister; Thomas Tuschl
Journal:  Nature       Date:  2004-09-16       Impact factor: 49.962

4.  High-throughput RNA interference screens in Drosophila tissue culture cells.

Authors:  Susan Armknecht; Michael Boutros; Amy Kiger; Kent Nybakken; Bernard Mathey-Prevot; Norbert Perrimon
Journal:  Methods Enzymol       Date:  2005       Impact factor: 1.600

5.  Genome-wide RNAi screen reveals a specific sensitivity of IRES-containing RNA viruses to host translation inhibition.

Authors:  Sara Cherry; Tammy Doukas; Susan Armknecht; Sean Whelan; Hui Wang; Peter Sarnow; Norbert Perrimon
Journal:  Genes Dev       Date:  2005-02-15       Impact factor: 11.361

6.  Drosophila RNAi screen reveals CD36 family member required for mycobacterial infection.

Authors:  Jennifer A Philips; Eric J Rubin; Norbert Perrimon
Journal:  Science       Date:  2005-07-14       Impact factor: 47.728

7.  The genome sequence of Drosophila melanogaster.

Authors:  M D Adams; S E Celniker; R A Holt; C A Evans; J D Gocayne; P G Amanatides; S E Scherer; P W Li; R A Hoskins; R F Galle; R A George; S E Lewis; S Richards; M Ashburner; S N Henderson; G G Sutton; J R Wortman; M D Yandell; Q Zhang; L X Chen; R C Brandon; Y H Rogers; R G Blazej; M Champe; B D Pfeiffer; K H Wan; C Doyle; E G Baxter; G Helt; C R Nelson; G L Gabor; J F Abril; A Agbayani; H J An; C Andrews-Pfannkoch; D Baldwin; R M Ballew; A Basu; J Baxendale; L Bayraktaroglu; E M Beasley; K Y Beeson; P V Benos; B P Berman; D Bhandari; S Bolshakov; D Borkova; M R Botchan; J Bouck; P Brokstein; P Brottier; K C Burtis; D A Busam; H Butler; E Cadieu; A Center; I Chandra; J M Cherry; S Cawley; C Dahlke; L B Davenport; P Davies; B de Pablos; A Delcher; Z Deng; A D Mays; I Dew; S M Dietz; K Dodson; L E Doup; M Downes; S Dugan-Rocha; B C Dunkov; P Dunn; K J Durbin; C C Evangelista; C Ferraz; S Ferriera; W Fleischmann; C Fosler; A E Gabrielian; N S Garg; W M Gelbart; K Glasser; A Glodek; F Gong; J H Gorrell; Z Gu; P Guan; M Harris; N L Harris; D Harvey; T J Heiman; J R Hernandez; J Houck; D Hostin; K A Houston; T J Howland; M H Wei; C Ibegwam; M Jalali; F Kalush; G H Karpen; Z Ke; J A Kennison; K A Ketchum; B E Kimmel; C D Kodira; C Kraft; S Kravitz; D Kulp; Z Lai; P Lasko; Y Lei; A A Levitsky; J Li; Z Li; Y Liang; X Lin; X Liu; B Mattei; T C McIntosh; M P McLeod; D McPherson; G Merkulov; N V Milshina; C Mobarry; J Morris; A Moshrefi; S M Mount; M Moy; B Murphy; L Murphy; D M Muzny; D L Nelson; D R Nelson; K A Nelson; K Nixon; D R Nusskern; J M Pacleb; M Palazzolo; G S Pittman; S Pan; J Pollard; V Puri; M G Reese; K Reinert; K Remington; R D Saunders; F Scheeler; H Shen; B C Shue; I Sidén-Kiamos; M Simpson; M P Skupski; T Smith; E Spier; A C Spradling; M Stapleton; R Strong; E Sun; R Svirskas; C Tector; R Turner; E Venter; A H Wang; X Wang; Z Y Wang; D A Wassarman; G M Weinstock; J Weissenbach; S M Williams; K C Worley; D Wu; S Yang; Q A Yao; J Ye; R F Yeh; J S Zaveri; M Zhan; G Zhang; Q Zhao; L Zheng; X H Zheng; F N Zhong; W Zhong; X Zhou; S Zhu; X Zhu; H O Smith; R A Gibbs; E W Myers; G M Rubin; J C Venter
Journal:  Science       Date:  2000-03-24       Impact factor: 47.728

8.  An integrated gene annotation and transcriptional profiling approach towards the full gene content of the Drosophila genome.

Authors:  M Hild; B Beckmann; S A Haas; B Koch; V Solovyev; C Busold; K Fellenberg; M Boutros; M Vingron; F Sauer; J D Hoheisel; R Paro
Journal:  Genome Biol       Date:  2003-12-22       Impact factor: 13.583

9.  A functional genomic analysis of cell morphology using RNA interference.

Authors:  A A Kiger; B Baum; S Jones; M R Jones; A Coulson; C Echeverri; N Perrimon
Journal:  J Biol       Date:  2003-10-01

10.  Parallel chemical genetic and genome-wide RNAi screens identify cytokinesis inhibitors and targets.

Authors:  Ulrike S Eggert; Amy A Kiger; Constance Richter; Zachary E Perlman; Norbert Perrimon; Timothy J Mitchison; Christine M Field
Journal:  PLoS Biol       Date:  2004-10-05       Impact factor: 8.029

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  46 in total

1.  The FLIGHT Drosophila RNAi database: 2010 update.

Authors:  David Sims; Borisas Bursteinas; Ekta Jain; Qiong Gao; Buzz Baum; Marketa Zvelebil
Journal:  Fly (Austin)       Date:  2010-10-01       Impact factor: 2.160

Review 2.  In vivo RNAi: today and tomorrow.

Authors:  Norbert Perrimon; Jian-Quan Ni; Lizabeth Perkins
Journal:  Cold Spring Harb Perspect Biol       Date:  2010-06-09       Impact factor: 10.005

3.  One hundred years of high-throughput Drosophila research.

Authors:  Mathias Beller; Brian Oliver
Journal:  Chromosome Res       Date:  2006       Impact factor: 5.239

Review 4.  Applications of high-throughput RNA interference screens to problems in cell and developmental biology.

Authors:  Norbert Perrimon; Bernard Mathey-Prevot
Journal:  Genetics       Date:  2007-01       Impact factor: 4.562

5.  The proteins of human chromosome 21.

Authors:  Katheleen Gardiner; Alberto C S Costa
Journal:  Am J Med Genet C Semin Med Genet       Date:  2006-08-15       Impact factor: 3.908

6.  UP-TORR: online tool for accurate and Up-to-Date annotation of RNAi Reagents.

Authors:  Yanhui Hu; Charles Roesel; Ian Flockhart; Lizabeth Perkins; Norbert Perrimon; Stephanie E Mohr
Journal:  Genetics       Date:  2013-06-21       Impact factor: 4.562

7.  The Drosophila ubiquitin-specific protease Puffyeye regulates dMyc-mediated growth.

Authors:  Ling Li; Sarah Anderson; Julie Secombe; Robert N Eisenman
Journal:  Development       Date:  2013-10-30       Impact factor: 6.868

8.  Specific requirement of NMDA receptors for long-term memory consolidation in Drosophila ellipsoid body.

Authors:  Chia-Lin Wu; Shouzhen Xia; Tsai-Feng Fu; Huaien Wang; Ying-Hsiu Chen; Daniel Leong; Ann-Shyn Chiang; Tim Tully
Journal:  Nat Neurosci       Date:  2007-11-04       Impact factor: 24.884

9.  Steroid hormone control of cell death and cell survival: molecular insights using RNAi.

Authors:  Suganthi Chittaranjan; Melissa McConechy; Ying-Chen Claire Hou; J Douglas Freeman; Lindsay Devorkin; Sharon M Gorski
Journal:  PLoS Genet       Date:  2009-02-13       Impact factor: 5.917

10.  Evidence of a tick RNAi pathway by comparative genomics and reverse genetics screen of targets with known loss-of-function phenotypes in Drosophila.

Authors:  Sebastian Kurscheid; Ala E Lew-Tabor; Manuel Rodriguez Valle; Anthea G Bruyeres; Vivienne J Doogan; Ulrike G Munderloh; Felix D Guerrero; Roberto A Barrero; Matthew I Bellgard
Journal:  BMC Mol Biol       Date:  2009-03-26       Impact factor: 2.946

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