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Mediterranea
Mediterranea
Mediterranea: A comprehensive AI-powered platform for optimizing reproducibility and accuracy in Mediterranean research protocols.
PubCompare.ai enables easy access to protocols from literature, preprints, and patents, empowering researchers to identify the best protocols and products for their Meditrranean studies.
Leveraging intelligent comparisons, this innovative tool improves the quality and efficeincy of Mediterranean research, driving advancements in this crucial field of study.
PubCompare.ai enables easy access to protocols from literature, preprints, and patents, empowering researchers to identify the best protocols and products for their Meditrranean studies.
Leveraging intelligent comparisons, this innovative tool improves the quality and efficeincy of Mediterranean research, driving advancements in this crucial field of study.
Most cited protocols related to «Mediterranea»
Hapten-labeled anti-sense RNA probes were generated from in vitro transcription reactions containing either DIG-12-UTP (Roche), DNP-11-UTP (PerkinElmer), or FAM-12-UTP (Roche) according to the manufacturer’s suggested protocol (Roche). DNA template for the in vitro transcription reaction was generated by PCR amplifying sequences from gene clones obtained from either the S. mediterranea EST Database [48 (link)] or from cDNA clones generated using standard methods. Primers and unincorporated nucleotides were removed from PCR products using a DNA clean and concentrator kit (Zymo Research) prior to use as template in transcription reactions. Probes were precipitated using LiCl/ethanol according to the manufacturer’s suggested protocol (Roche) and resuspended in 50 μl RNAse-free water. Probe quality and concentration were assessed on a 1% agarose gel and using a NanoDrop ND-1000 spectrophotometer. Probe concentration was adjusted to 50 ng/μl by adding hybridization buffer (see Additional file 1 ) and probes were stored at −20°C. In some cases, FAM-labeled probes were further purified using a sephadex G-50 quick spin column (Roche) according to the manufacturer’s recommendations.
Acid Hybridizations, Nucleic
Buffers
Clone Cells
DNA, A-Form
DNA, Complementary
Endoribonucleases
Ethanol
Genes
Haptens
Mediterranea
Nucleotides
Oligonucleotide Primers
RNA Probes
sephadex G 50
Sepharose
Transcription, Genetic
Illumina MiSeq reads were trimmed to Q ≥30 and adaptors removed using Sickle and Perl and assembled using Newbler (Roche GS-Assembler v2.6) with flags set for large genome and a heterozygote sample. Mate-pair reads were first mapped to these contigs using Bowtie2 [64 (link)] to remove duplicates and wrongly orientated reads, and scaffolded into contigs using SSPACE [65 (link)]. Gap filling was achieved using GapFiller for 2× 250 bp and 2× 100 bp paired-end reads and run for three iterations (available as ENA accessions LN627018-LN647175). RNAseq data were mapped to scaffolds within the assembled genome greater than 3 Kbp using TopHat2 to identify transcribed regions and splice junctions. These, together with RNAseq data assembled using Trinity and S. mansoni protein sequence, were passed to the MAKER pipeline [66 (link)] to predict genes. Repeatmasker, Windowmasker and Dustmasker were used to identify repetitive regions. CEGMA v2.4 [67 (link)], which searches for 248 highly conserved genes, was used to assess the completeness of genome with the settings for vertebrates to allow long introns. REAPR [68 (link)] was used to assess the quality of scaffolding within the assembly and to produce an alternative, more conservative assembly by splitting scaffolds at locations with lower support (available as ENA accessions LN736597-LN774150). Homologs of F. hepatica predicted protein sequences were identified within UniProt using BLAST and functional domains identified using InterPro. InParanoid and MultiParanoid [69 (link)] were used to identify ortholog clusters from Schistosoma mansoni (v3.1.16), Clonorchis sinensis (v3.7), Schmidtea mediterranea and Echinococcus multilocularis (v29042013) predicted proteins [11 (link)-15 (link),70 (link)].
Amino Acid Sequence
Clonorchis sinensis
Echinococcus multilocularis
Genes
Genome
Hepatica
Heterozygote
Introns
Mediterranea
Proteins
Repetitive Region
Schistosoma mansoni
Vertebrates
Animals
Beef
Cells
Chickens
Connective Tissue
Gene Knockdown Techniques
Intestines
Liver
Meat
Mediterranea
Neoplasm Metastasis
Paste
Phenotype
Planarians
RNA, Double-Stranded
RNA Interference
Sepharose
Two distinct bioinformatic approaches were used to identify prohormone genes in the S. mediterranea genome. First, similarity searches were performed with collections of peptides or prohormones from invertebrate species such as Drosophila melanogaster, Aplysia californica, Apis mellifera[32] (link), Caenorhabditis elegans[73] (link), and various Platyhelminthes [39] (link) with stand-alone BLAST (BLOSSUM62 or PAM30 matrices and Expect values ≥10). Peptides and prohormones were obtained from genome databases (i.e. Wormbase, http://www.wormbase.org ), from NCBI, or from an online catalog of bioactive peptides (http://www.peptides.be , [103] (link)). Additionally, sequence tags generated by de novo MS sequencing of unassigned peptides were also used as queries for genomic BLAST searches (BLOSSUM62 or PAM30 matrices and Expect values ≥10). As an alternative to similarity searching we analyzed translated S. mediterranea EST [98] (link),[104] (link) and 454 (Roche, Mannheim, Germany) sequence data (Y. Wang and P.A. Newmark, unpublished) for sequences that possessed characteristics of prohormone genes including multiple dibasic cleavage sites and a signal sequence (www.cbs.dtu.dk/services/SignalP ). Translations of nucleotide sequences were performed with longorf.pl, a script that translates the longest open reading frame in a nucleotide sequence (www.bioperl.org/wiki/Bioperl_scripts ). Putative prohormone genes identified using these two approaches were used as queries to search the S. mediterranea genome to determine if additional related prohormones existed in the genome. The full-length coding sequences of prohormone genes were predicted using a variety of gene and splice-site prediction tools, including NetGene2 (http://www.cbs.dtu.dk/services/NetGene2 ), FSPLICE (http://www.softberry.com ), GENSCAN (http://genes.mit.edu/GENESCAN.html ), and GeneQuest (v8.0.2, DNASTAR, Madison, WI). Where full-length sequences could not be predicted in silico, 5′ and 3′ Rapid Amplification of cDNA Ends (RACE) (FirstChoice RLM-Race Kit, Ambion, Austin, TX) analyses were performed following the manufacturer's protocol. The predictions of all genes reported here were independently verified by cDNA analysis (see below). Once verified, genes were considered to be genuine prohormone genes if they (1) possessed a signal sequence, (2) possessed basic cleavage sites that flanked predicted or MS-confirmed peptides, and (3) were less than 200 amino acids in length. Sequences were excluded if they shared similarity with genes previously annotated to be other than neuropeptide prohormones. All genes were named according to the S. mediterranea genome nomenclature guidelines [105] (link).
Amino Acids
Apis
Aplysia
austin
Base Sequence
Caenorhabditis elegans
Cytokinesis
DNA, Complementary
Drosophila melanogaster
Exons
Flatworms
Genes
Genes, vif
Genome
Invertebrates
Mediterranea
Neuropeptides
Peptides
Signal Peptides
For the Caenorhabditis elegans map, we analyzed the whole-organism single-cell dataset published by Cao et al. [42 (link)] and generated using methanol-fixed larval L2 stage cells and a split&pool scRNA-seq strategy. We started from a UMI matrix containing 41,449 single cells. We filtered out cells with less than 100 and more than 8000 total UMIs. We used MetaCell to select marker genes with the following criteria: (1) a normalized size correlation below − 0.1 and/or a niche score over 0.1, (2) a minimum of 300 total UMIs observed, and (3) a minimum of 3 UMIs observed in at least three single cells. For MetaCell, we used MC size parameter K = 150 and 1000 down-samples of 0.75 of the data during the graph resampling stage. We computed the final partition from the co-occurrence matrix using a size parameter K = 30, a minimum MC size parameter of 30 and alpha = 2. We filtered outlier cells using a filtering parameter T_lfc = 4, resulting in a final filtered set of 38,149 cells.
For Schmidtea mediterranea, we analyzed the whole-adult single-cell dataset published by Fincher et al. [43 (link)] and generated using fresh cells from whole-adult and head area planarian samples and the Drop-seq scRNA-seq technology. We started from a UMI matrix containing 58,328 single cells. We filtered out cells with less than 500 and more than 18,000 total UMIs. We used MetaCell to select marker genes with the following criteria: (1) a normalized size correlation below − 0.1 and/or a niche score over 0.05, (2) a minimum of 300 total UMIs observed, and (3) a minimum of 3 UMIs observed in at least three single cells. In the graph partitioning stage, we used the same parameters as in the C. elegans analysis. We filtered outlier cells using a filtering parameter T_lfc = 4.5, resulting in a final filtered set of 56,627 cells.
For Schmidtea mediterranea, we analyzed the whole-adult single-cell dataset published by Fincher et al. [43 (link)] and generated using fresh cells from whole-adult and head area planarian samples and the Drop-seq scRNA-seq technology. We started from a UMI matrix containing 58,328 single cells. We filtered out cells with less than 500 and more than 18,000 total UMIs. We used MetaCell to select marker genes with the following criteria: (1) a normalized size correlation below − 0.1 and/or a niche score over 0.05, (2) a minimum of 300 total UMIs observed, and (3) a minimum of 3 UMIs observed in at least three single cells. In the graph partitioning stage, we used the same parameters as in the C. elegans analysis. We filtered outlier cells using a filtering parameter T_lfc = 4.5, resulting in a final filtered set of 56,627 cells.
A 300
Adult
Caenorhabditis elegans
Genetic Markers
Head
Larva
Mediterranea
Methanol
Planarians
RNA, Small Cytoplasmic
Single-Cell RNA-Seq
Most recents protocols related to «Mediterranea»
Asexual (Clone CIW4) and sexual (Clone S2F1L3F2) strains of Schmidtea mediterranea were maintained in Montjuïc water at 20°C.34 (link) Animals were starved for 7–14 days before each experiment. Animals exposed to 6,000 rads of γ rays were used as transplant hosts.8 (link) After transplantation, hosts were maintained in Montjuïc water with 50 μg/mL of Gentamicin (GEMINI, 400-100P). For transplant rescue experiments, host animals were kept in 3.5 cm Petri dishes (1 worm/dish), and Montjuïc water was changed every 2–3 days.
Animals
Clone Cells
Gentamicin
Grafts
Helminths
Hyperostosis, Diffuse Idiopathic Skeletal
Mediterranea
Radiation
RRAD protein, human
Strains
Transplantation
An HPLC-FLD from Shimadzu (Prominence-i LC-2030C Plus) was used to conduct the PST analyses. This equipment comprises a quaternary pump, a refrigerator autosampler, a column oven and a spectrofluorometric detector (RF-20A XS). The temperatures used were 10 °C, 25 °C and 30 °C, in the autosampler, column oven and cell detector, respectively. A reversed-phase C18 column (Mediterranea Sea18, Teknokroma), 25 cm × 0.46 cm (5 µm), and an ultraguardTM column (Sea18 10 × 3.2 mm, Teknokroma) were used. Ammonium formate 0.1 M (adjusted to pH 6 with acetic acid 0.1 M) and acetonitrile (HPLC grade, Honeywell) were applied as mobile phase A and B, correspondingly. All eluents and solvents for HPLC were filtered, using PVDF membrane filters (0.22 μm, 47 mm, Teknokroma). The gradient elution conditions were as follows. First 6 min: 1–5% phase B; between 6 and 13 min: 5–28% phase B; between 13 and 16 min: 28–1% phase B; between 16 and 19 min: 1% phase B. The flow rate was 1.5 mL/min. The injected volume was 30 µL or 100 µL, for standards and samples oxidised with peroxide or periodate, respectively. Three injections of each sample were performed. Fluorescence detection was achieved at 340 nm (excitation) and 395 nm (emission).
To quantify PST, calibration solutions ranging 0.03 and 2.00 µM were prepared from certified reference materials (CRM): dcGTX2&3, C1&2, GTX2&3, GTX5 (or B1), GTX6 (or B2), GTX1&4, C3&4, NEO, dcNEO, STX (from CIFGA laboratory S.A., Lugo, Spain) and dcSTX (from National Research Council of Canada, Halifax, Canada). To prepare the solutions, the following mixtures were considered: (I) dcGTX2&3, C1&2 and dcSTX (for peroxide oxidation); (II) GTX2&3, GTX5 and STX (for peroxide oxidation); (III) GTX1,4 and NEO (for periodate oxidation); (IV) C3&4 and GTX6 (for periodate oxidation); (V) dcNEO (for periodate oxidation); (VI) dcGTX2&3 and dcSTX (for periodate oxidation). The quantification of each toxin in the samples was performed by interpolation of data in the corresponding calibration curve. The contribution of the chromatographic peaks corresponding to the matrix modifier were subtracted (before interpolation) from the chromatograms of the samples and standards pre-oxidized with periodate in the presence of the matrix modifier. The limits of detection and quantification (LOD and LOQ) were determined as (3σ)/m and (10σ)/m, where σ is the residual standard deviation of the regression line and m is the slope of the calibration curve [33 ,34 ]. For the several calibration curves, all determination coefficients (R2) were above 0.9981. LOD and LOQ ranged from 0.003 µM (1 µg STX.2HCl eqv/Kg) to 0.03 µM (169 µg STX.2HCl eqv/Kg) and from 0.01 µM (3 µg STX.2HCl eqv/Kg) to 0.11 µM (615 µg STX.2HCl eqv/Kg), respectively (Table S3 ). The least concentrated standard solution of each calibration curve was always equal to or greater than the corresponding LOQ. To avoid misinterpretation, the following solutions were also analysed under the same conditions as the standards and samples: a chemical blank of the entire procedure—extraction, cleaning, fractionation, and oxidation (1% acetic acid), samples without the oxidizing agent (using the same volume of ultrapure water instead of the peroxide or periodate oxidant), the matrix modifier oxidised with periodate (the same volume of ultrapure water instead the sample/standard) (some examples in SI, Figures S1–S3 ).
To quantify PST, calibration solutions ranging 0.03 and 2.00 µM were prepared from certified reference materials (CRM): dcGTX2&3, C1&2, GTX2&3, GTX5 (or B1), GTX6 (or B2), GTX1&4, C3&4, NEO, dcNEO, STX (from CIFGA laboratory S.A., Lugo, Spain) and dcSTX (from National Research Council of Canada, Halifax, Canada). To prepare the solutions, the following mixtures were considered: (I) dcGTX2&3, C1&2 and dcSTX (for peroxide oxidation); (II) GTX2&3, GTX5 and STX (for peroxide oxidation); (III) GTX1,4 and NEO (for periodate oxidation); (IV) C3&4 and GTX6 (for periodate oxidation); (V) dcNEO (for periodate oxidation); (VI) dcGTX2&3 and dcSTX (for periodate oxidation). The quantification of each toxin in the samples was performed by interpolation of data in the corresponding calibration curve. The contribution of the chromatographic peaks corresponding to the matrix modifier were subtracted (before interpolation) from the chromatograms of the samples and standards pre-oxidized with periodate in the presence of the matrix modifier. The limits of detection and quantification (LOD and LOQ) were determined as (3σ)/m and (10σ)/m, where σ is the residual standard deviation of the regression line and m is the slope of the calibration curve [33 ,34 ]. For the several calibration curves, all determination coefficients (R2) were above 0.9981. LOD and LOQ ranged from 0.003 µM (1 µg STX.2HCl eqv/Kg) to 0.03 µM (169 µg STX.2HCl eqv/Kg) and from 0.01 µM (3 µg STX.2HCl eqv/Kg) to 0.11 µM (615 µg STX.2HCl eqv/Kg), respectively (
Acetic Acid
acetonitrile
Cells
Chromatography
Fluorescence
formic acid, ammonium salt
Fractionation, Chemical
High-Performance Liquid Chromatographies
Mediterranea
metaperiodate
Oxidants
Peroxides
polyvinylidene fluoride
Solvents
Spectrometry, Fluorescence
Tissue, Membrane
Toxins, Biological
Lemon byproduct samples (Citrus limon (L.) Osbeck) containing peels, pulp and seeds were supplied by the Agrumaria Reggina company located in Gallico (Reggio Calabria, Italy) after the extraction of lemon juice and essential oils. Lemon byproducts were transported to the Food Technology Laboratory of the University Mediterranea of Reggio Calabria, immediately dried at a temperature of 50 °C up to a final moisture content of 12% and stored in polyethylene bags under a vacuum to avoid rehydration until the subsequent extraction procedures of the bioactive compounds.
Radishes were supplied by a local distributor in the province of Reggio Calabria (Italy) and transported to the Food Technology Laboratory of the University Mediterranea of Reggio Calabria, where leaves were completely removed before subjecting the radish roots to processing.
Radishes were supplied by a local distributor in the province of Reggio Calabria (Italy) and transported to the Food Technology Laboratory of the University Mediterranea of Reggio Calabria, where leaves were completely removed before subjecting the radish roots to processing.
Citrus limon
Dental Pulp
Mediterranea
Oils, Volatile
Plant Embryos
Plant Roots
Polyethylene, High-Density
Raphanus
Rehydration
Vacuum
Mouse ASIC1a was used as a query in tBLASTn searches of DEG/ENaC genes in xenacoelomorphs (C. macropyga, C. submaculatum, H. miamia, I. pulchra, X. bocki, X. profunda, N. westbladi, and M. stichopi from transcriptomes published in Andrikou et al., 2019b (link)), spiralians (Spadella spp., Dimorphilus gyrociliatus, Epiphanes senta, Lepidodermella squamata, Lineus longissimus, Lineus ruber, M. membranacea, N. anomala, O. fusiformis, P. harmeri, P. vittatus, and T. transversa from our transcriptomes in preparation; A. granulata, C. gigas, and Brachionus plicatilis from NCBI; L. anatina and N. geniculatus from OIST; and S. mediterranea from SmedGD), ecdysozoans (H. spinulosus, P. caudatus, P. vulgare from our transcriptomes; D. melanogaster, D. pulex, C. sculpturatus, and C. elegans from NCBI) and a hemichordate (S. californicum, our transcriptome). Other DEG/ENaC genes were retrieved via BlastP at public databases NCBI, Compagen, JGI, OIST, OikoBase, Aniseed, or UniProt targeting cnidarians (hexacorallian N. vectensis, octacorallian Dendronephthya gigantea, scyphozoan Aurelia aurita, hydrozoan H. vulgaris), poriferan (Amphimedon queenslandica), the placazoan Trichoplax adhaerens, ctenophores (cydippid Pleurobrachia bachei and lobate Mnemiopsis leidyi), and deuterostomes (chordates Rattus norvegicus, Ciona robusta, Oikopleura dioica, and Branchiostoma belcheri; hemichordate Ptychodera flava; and echinoderm Acanthaster planci). Amino acid sequences were aligned using MAFFT (Katoh and Standley, 2013 (link)), variable N- and C-termini were removed and highly similar sequences were not considered (Supplementary file 1 ), and homologies were assigned by phylogenetic tree analyses based on ML inferences calculated with PhyML v3.0 (Guindon et al., 2010 (link)). Robustness of tree topologies was assessed under automatic model selection based on Akaike information criteria. Due to computational load of bootstrap performance, trees were inferred using the fast likelihood-based methods: aLRT SH-like; and aBayes (Anisimova et al., 2011 (link)). Cell marker genes (Supplementary file 2 ) were identified similarly, but whereas homology of synaptotagmin, Gata, and Six3 was obvious, homology of PH, TH, and TpH genes was confirmed phylogenetically with reference to earlier work (Siltberg-Liberles et al., 2008 (link)).
Amino Acid Sequence
Aurelia aurita
Branchiostoma belcheri
Caenorhabditis elegans
Cells
Chordata
Ciona robusta
Cnidaria
Ctenophora
Drosophila melanogaster
Echinodermata
Genes
Hydrozoa
Mediterranea
Mnemiopsis
Mus
Nucleus, Caudate
Rattus norvegicus
Synaptotagmins
Transcriptome
Trees
Trichoplax
We used asexually reproducing S. mediterranea (strain CIW4 (Newmark and Sánchez Alvarado, 2000 (link))) for all experiments. Planarians were housed in Montjuïc salts (Cebrià and Newmark, 2005 (link)) at 18°C in the dark. We fed animals organic beef liver puree (White Oak Pastures, Bluffton, GA) approximately once per week. Animals for in situ hybridization or RNA interference (RNAi) were starved at least one week prior to experiments. We also used gentamicin sulfate (50 μg/mL final concentration, Gemini Bio-Products) to treat animals as needed and during all RNAi experiments.
Animals
Beef
In Situ Hybridization
Liver
Mediterranea
Planarians
RNA Interference
Salts
Strains
Sulfate, Gentamicin
Top products related to «Mediterranea»
Sourced in Spain
The Mediterranea Sea18 column is a liquid chromatography column used for separation and purification of chemical compounds. The column is packed with a C18 stationary phase and is designed for reverse-phase chromatography. The core function of the column is to facilitate the separation and isolation of analytes based on their polarity and hydrophobicity.
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The CLC Genomics Workbench is a comprehensive software platform for analyzing and visualizing biological sequence data. It provides a range of tools and functionalities for tasks such as sequence alignment, genome assembly, variant calling, and data exploration.
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TRIzol is a monophasic solution of phenol and guanidine isothiocyanate that is used for the isolation of total RNA from various biological samples. It is a reagent designed to facilitate the disruption of cells and the subsequent isolation of RNA.
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The HiSeq 2500 is a high-throughput DNA sequencing system designed for a wide range of applications, including whole-genome sequencing, targeted sequencing, and transcriptome analysis. The system utilizes Illumina's proprietary sequencing-by-synthesis technology to generate high-quality sequencing data with speed and accuracy.
Sourced in Spain
The Mediterranea Sea C18 column is a chromatography column designed for liquid chromatography applications. It features a C18 stationary phase for the separation and purification of a variety of compounds.
Sourced in Germany, Switzerland, United States
The Stemi 2000 is a stereo microscope designed for routine laboratory and industrial applications. It provides a wide field of view and high-quality optical performance. The Stemi 2000 is equipped with a zoom system that offers a continuous magnification range.
Sourced in United States, Canada
Gentamicin is a broad-spectrum antibiotic commonly used in cell culture media. It is effective against a wide range of Gram-negative and some Gram-positive bacteria. Gentamicin functions by inhibiting bacterial protein synthesis, thereby preventing the growth and replication of susceptible microorganisms.
Sourced in United States
Gentamicin sulfate is a potent antibiotic used in various laboratory applications. It is a water-soluble salt that exhibits broad-spectrum antimicrobial activity against a variety of Gram-negative and some Gram-positive bacteria. Gentamicin sulfate is commonly used as a selective agent in cell and tissue culture applications to prevent bacterial contamination.
The Unc-22 is a lab equipment product. It serves as a core function in laboratory work, but a detailed description without interpretation or extrapolation is not available.
More about "Mediterranea"
Mediterranea is a comprehensive AI-powered platform designed to optimize reproducibility and accuracy in Mediterranean research protocols.
PubCompare.ai, a key feature of Mediterranea, enables easy access to protocols from literature, preprints, and patents, empowering researchers to identify the best protocols and products for their Mediterranean studies.
Leveraging intelligent comparisons, this innovative tool improves the quality and effeciency of Mediterranean research, driving advancements in this crucial field of study.
Mediterranea Sea18 column, CLC Genomics Workbench, and TRIzol are some of the key technologies and tools integrated within the platform, providing researchers with a seamless and efficient workflow.
Additionally, the HiSeq 2500 sequencing platform, Mediterranea Sea C18 column, Stemi 2000 microscope, Gentamicin and Gentamicin sulfate antibiotics, and the Unc-22 gene are all relevant to Mediterranean research and can be leveraged within the Mediterranea ecosystem.
This innovative platform streamlines the research process, enhances reproducibility, and accelerates discoveries in the field of Mediterranean studies.
PubCompare.ai, a key feature of Mediterranea, enables easy access to protocols from literature, preprints, and patents, empowering researchers to identify the best protocols and products for their Mediterranean studies.
Leveraging intelligent comparisons, this innovative tool improves the quality and effeciency of Mediterranean research, driving advancements in this crucial field of study.
Mediterranea Sea18 column, CLC Genomics Workbench, and TRIzol are some of the key technologies and tools integrated within the platform, providing researchers with a seamless and efficient workflow.
Additionally, the HiSeq 2500 sequencing platform, Mediterranea Sea C18 column, Stemi 2000 microscope, Gentamicin and Gentamicin sulfate antibiotics, and the Unc-22 gene are all relevant to Mediterranean research and can be leveraged within the Mediterranea ecosystem.
This innovative platform streamlines the research process, enhances reproducibility, and accelerates discoveries in the field of Mediterranean studies.