LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 4 of total 4

Search options

  1. Article ; Online: Next-generation sequencing of BRCA1 and BRCA2 genes in Moroccan prostate cancer patients with positive family history.

    Fatiha Salmi / Fatima Maachi / Amal Tazzite / Rachid Aboutaib / Jamal Fekkak / Houssine Azeddoug / Hassan Jouhadi

    PLoS ONE, Vol 16, Iss 7, p e

    2021  Volume 0254101

    Abstract: Prostate cancer is the most common male cancer in Morocco. Although sporadic forms account for a large proportion of patients, familial forms of prostate cancer are observed in 20% of cases and about 5% are due to hereditary transmission. Indeed, ... ...

    Abstract Prostate cancer is the most common male cancer in Morocco. Although sporadic forms account for a large proportion of patients, familial forms of prostate cancer are observed in 20% of cases and about 5% are due to hereditary transmission. Indeed, germline mutations in BRCA1/2 genes have been associated with prostate cancer risk. However, the spectrum of these mutations was not investigated in Moroccan Prostate cancer patients. Thereby, the aim of this study was to characterize and to estimate the prevalence of germline BRCA1/2 mutations and large rearrangements in Moroccan patients with familial prostate cancer. The entire coding regions and intron/exon boundaries of BRCA1 and BRCA2 genes have been analyzed by next generation sequencing (NGS) in a total of 30 familial prostate cancer patients. Three pathogenic mutations were detected in four unrelated patients (13.3%). One BRCA1 mutation (c.1953_1956delGAAA) and two BRCA2 mutations (c.7234_7235insG and BRCA2ΔE12). In addition, sixty-three distinct polymorphisms and unclassified variants have been found. Early identification of germline BRCA1/2 mutations may be relevant for the management of Moroccan prostate cancer patients.
    Keywords Medicine ; R ; Science ; Q
    Subject code 610 ; 616
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  2. Article ; Online: A simple and fast spectroscopy-based technique for Covid-19 diagnosis

    Driss Lahlou Kitane / Salma Loukman / Nabila Marchoudi / Alvaro Fernandez-Galiana / Fatima Zahra El Ansari / Farah Jouali / Jamal Badir / Jean-Luc Gala / Dimitris Bertsimas / Nawfal Azami / Omar Lakbita / Omar Moudam / Rachid Benhida / Jamal Fekkak

    Scientific Reports, Vol 11, Iss 1, Pp 1-

    2021  Volume 11

    Abstract: Abstract The coronavirus pandemic, which appeared in Wuhan, China, in December 2019, rapidly spread all over the world in only a few weeks. Faster testing techniques requiring less resources are key in managing the pandemic, either to enable larger scale ...

    Abstract Abstract The coronavirus pandemic, which appeared in Wuhan, China, in December 2019, rapidly spread all over the world in only a few weeks. Faster testing techniques requiring less resources are key in managing the pandemic, either to enable larger scale testing or even just provide developing countries with limited resources, particularly in Africa, means to perform tests to manage the crisis. Here, we report an unprecedented, rapid, reagent-free and easy-to-use screening spectroscopic method for the detection of SARS-CoV-2 on RNA extracts. This method, validated on clinical samples collected from 280 patients with quantitative predictive scores on both positive and negative samples, is based on a multivariate analysis of FTIR spectra of RNA extracts. This technique, in agreement with RT-PCR, achieves 97.8% accuracy, 97% sensitivity and 98.3% specificity while reducing the testing time post RNA extraction from hours to minutes. Furthermore, this technique can be used in several laboratories with limited resources.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2021-08-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  3. Article ; Online: Large scale genomic analysis of 3067 SARS-CoV-2 genomes reveals a clonal geo-distribution and a rich genetic variations of hotspots mutations

    Meriem Laamarti / Tarek Alouane / Souad Kartti / M.W. Chemao-Elfihri / Mohammed Hakmi / Abdelomunim Essabbar / Mohamed Laamart / Haitam Hlali / Loubna Allam / Naima EL Hafidi / Rachid EL Jaoudi / Imane Allali / Nabila Marchoudi / Jamal Fekkak / Houda Benrahma / Chakib Nejjari / Saaid Amzazi / Lahcen Belyamani / Azeddine Ibrahimi

    Abstract: AbstractIn late December 2019, an emerging viral infection COVID-19 was identified in Wuhan, China, and became a global pandemic. Characterization of the genetic variants of SARS-CoV-2 is crucial in following and evaluating their spread across countries. ...

    Abstract AbstractIn late December 2019, an emerging viral infection COVID-19 was identified in Wuhan, China, and became a global pandemic. Characterization of the genetic variants of SARS-CoV-2 is crucial in following and evaluating their spread across countries. In this study, we collected and analyzed 3,067 SARS-CoV-2 genomes isolated from 59 countries during the first three months after the onset of this virus. Using comparative genomics analysis, we traced the profiles of the whole-genome mutations and compared the frequency of each mutation in the studied population. The accumulation of mutations during the epidemic period with their geographic locations was also monitored. The results showed 716 site mutations, of which 457 (64%) had a non-synonymous effect. Frequencies of mutated alleles revealed the presence of 39 recurrent non-synonymous mutations, including 10 hotspot mutations with a prevalence higher than 0.10 in this population and distributed in six genes of SARS-CoV-2. The distribution of these recurrent mutations on the world map revealed certain genotypes specific to the geographic location. We also found co-occurring mutations resulting in the presence of several haplotypes. Thus, evolution over time has shown a mechanism of co-accumulation and the phylogenetic analysis of this population indicated that this virus can be divided into 3 clades, including a subgroup-specific to the genomes of the United States. On the other hand, analysis of the selective pressure revealed the presence of several negatively selected residues that could be useful for considerations as therapeutic target design.We have also created an inclusive unified database (http://moroccangenomes.ma/covid/) that lists all of the genetic variants of the SARS-CoV-2 genomes found in this study with phylogeographic analysis around the world.
    Keywords covid19
    Publisher biorxiv
    Document type Article ; Online
    DOI 10.1101/2020.05.03.074567
    Database COVID19

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  4. Article ; Online: Large scale genomic analysis of 3067 SARS-CoV-2 genomes reveals a clonal geo-distribution and a rich genetic variations of hotspots mutations.

    Meriem Laamarti / Tarek Alouane / Souad Kartti / M W Chemao-Elfihri / Mohammed Hakmi / Abdelomunim Essabbar / Mohamed Laamarti / Haitam Hlali / Houda Bendani / Nassma Boumajdi / Oussama Benhrif / Loubna Allam / Naima El Hafidi / Rachid El Jaoudi / Imane Allali / Nabila Marchoudi / Jamal Fekkak / Houda Benrahma / Chakib Nejjari /
    Saaid Amzazi / Lahcen Belyamani / Azeddine Ibrahimi

    PLoS ONE, Vol 15, Iss 11, p e

    2020  Volume 0240345

    Abstract: In late December 2019, an emerging viral infection COVID-19 was identified in Wuhan, China, and became a global pandemic. Characterization of the genetic variants of SARS-CoV-2 is crucial in following and evaluating it spread across countries. In this ... ...

    Abstract In late December 2019, an emerging viral infection COVID-19 was identified in Wuhan, China, and became a global pandemic. Characterization of the genetic variants of SARS-CoV-2 is crucial in following and evaluating it spread across countries. In this study, we collected and analyzed 3,067 SARS-CoV-2 genomes isolated from 55 countries during the first three months after the onset of this virus. Using comparative genomics analysis, we traced the profiles of the whole-genome mutations and compared the frequency of each mutation in the studied population. The accumulation of mutations during the epidemic period with their geographic locations was also monitored. The results showed 782 variants sites, of which 512 (65.47%) had a non-synonymous effect. Frequencies of mutated alleles revealed the presence of 68 recurrent mutations, including ten hotspot non-synonymous mutations with a prevalence higher than 0.10 in this population and distributed in six SARS-CoV-2 genes. The distribution of these recurrent mutations on the world map revealed that certain genotypes are specific to geographic locations. We also identified co-occurring mutations resulting in the presence of several haplotypes. Moreover, evolution over time has shown a mechanism of mutation co-accumulation which might affect the severity and spread of the SARS-CoV-2. The phylogentic analysis identified two major Clades C1 and C2 harboring mutations L3606F and G614D, respectively and both emerging for the first time in China. On the other hand, analysis of the selective pressure revealed the presence of negatively selected residues that could be taken into considerations as therapeutic targets. We have also created an inclusive unified database (http://covid-19.medbiotech.ma) that lists all of the genetic variants of the SARS-CoV-2 genomes found in this study with phylogeographic analysis around the world.
    Keywords Medicine ; R ; Science ; Q
    Subject code 572
    Language English
    Publishing date 2020-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

To top