Automated Author Profile

Tkacz, Itai Dov

Current S-Index

2.5

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.6

Average Dataset Index per dataset

Total Datasets

4

Total datasets for this author

Average FAIR Score

29.3%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Genome-wide analysis of small nucleolar RNAs of <i>Leishmania major</i> reveals a rich repertoire of RNAs involved in modification and processing of rRNA

Trypanosomatids are protozoan parasites and the causative agent of infamous infectious diseases. These organisms regulate their gene expression mainly at the post-transcriptional level and possess characteristic RNA processing mechanisms. In this study, we analyzed the complete repertoire of Leishmania major small nucleolar (snoRNA) RNAs by performing RNA-seq analysis on RNAs that were affinity-purified using the C/D snoRNA core protein, SNU13, and the H/ACA core protein, NHP2. This study revealed a large collection of C/D and H/ACA snoRNAs, organized in gene clusters generally containing both snoRNA types. Abundant snoRNAs were identified and predicted to guide trypanosome-specific rRNA cleavages. The repertoire of snoRNAs was compared to that of the closely related Trypanosoma brucei, and 80% of both C/D and H/ACA molecules were found to have functional homologues. The comparative analyses elucidated how snoRNAs evolved to generate molecules with analogous functions in both species. Interestingly, H/ACA RNAs have great flexibility in their ability to guide modifications, and several of the RNA species can guide more than one modification, compensating for the presence of single hairpin H/ACA snoRNA in these organisms. Placing the predicted modifications on the rRNA secondary structure revealed hypermodification regions mostly in domains which are modified in other eukaryotes, in addition to trypanosome-specific modifications.

Authors

  • Eliaz, Dror ;
  • Doniger, Tirza ;
  • Tkacz, Itai Dov ;
  • Viplov Kumar Biswas ;
  • Gupta, Sachin Kumar ;
  • Kolev, Nikolay G ;
  • Unger, Ron ;
  • Ullu, Elisabetta ;
  • Tschudi, Christian ;
  • Michaeli, Shulamit
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.1412749January 2015

Genome-wide analysis of small nucleolar RNAs of <i>Leishmania major</i> reveals a rich repertoire of RNAs involved in modification and processing of rRNA

ABSTRACTTrypanosomatids are protozoan parasites and the causative agent of infamous infectious diseases. These organisms regulate their gene expression mainly at the post-transcriptional level and possess characteristic RNA processing mechanisms. In this study, we analyzed the complete repertoire of Leishmania major small nucleolar (snoRNA) RNAs by performing RNA-seq analysis on RNAs that were affinity-purified using the C/D snoRNA core protein, SNU13, and the H/ACA core protein, NHP2. This study revealed a large collection of C/D and H/ACA snoRNAs, organized in gene clusters generally containing both snoRNA types. Abundant snoRNAs were identified and predicted to guide trypanosome-specific rRNA cleavages. The repertoire of snoRNAs was compared to that of the closely related Trypanosoma brucei, and 80% of both C/D and H/ACA molecules were found to have functional homologues. The comparative analyses elucidated how snoRNAs evolved to generate molecules with analogous functions in both species. Interestingly, H/ACA RNAs have great flexibility in their ability to guide modifications, and several of the RNA species can guide more than one modification, compensating for the presence of single hairpin H/ACA snoRNA in these organisms. Placing the predicted modifications on the rRNA secondary structure revealed hypermodification regions mostly in domains which are modified in other eukaryotes, in addition to trypanosome-specific modifications.

Authors

  • Eliaz, Dror ;
  • Doniger, Tirza ;
  • Tkacz, Itai Dov ;
  • Viplov Kumar Biswas ;
  • Gupta, Sachin Kumar ;
  • Kolev, Nikolay G ;
  • Unger, Ron ;
  • Ullu, Elisabetta ;
  • Tschudi, Christian ;
  • Michaeli, Shulamit
0 Citations0 Mentions77% FAIR1.7 Dataset Index
10.6084/m9.figshare.1412749.v1January 2015

Genome-wide analysis of small nucleolar RNAs of <i>Leishmania major</i> reveals a rich repertoire of RNAs involved in modification and processing of rRNA

Trypanosomatids are protozoan parasites and the causative agent of infamous infectious diseases. These organisms regulate their gene expression mainly at the post-transcriptional level and possess characteristic RNA processing mechanisms. In this study, we analyzed the complete repertoire of Leishmania major small nucleolar (snoRNA) RNAs by performing RNA-seq analysis on RNAs that were affinity-purified using the C/D snoRNA core protein, SNU13, and the H/ACA core protein, NHP2. This study revealed a large collection of C/D and H/ACA snoRNAs, organized in gene clusters generally containing both snoRNA types. Abundant snoRNAs were identified and predicted to guide trypanosome-specific rRNA cleavages. The repertoire of snoRNAs was compared to that of the closely related Trypanosoma brucei, and 80% of both C/D and H/ACA molecules were found to have functional homologues. The comparative analyses elucidated how snoRNAs evolved to generate molecules with analogous functions in both species. Interestingly, H/ACA RNAs have great flexibility in their ability to guide modifications, and several of the RNA species can guide more than one modification, compensating for the presence of single hairpin H/ACA snoRNA in these organisms. Placing the predicted modifications on the rRNA secondary structure revealed hypermodification regions mostly in domains which are modified in other eukaryotes, in addition to trypanosome-specific modifications.

Authors

  • Eliaz, Dror ;
  • Doniger, Tirza ;
  • Tkacz, Itai Dov ;
  • Viplov Kumar Biswas ;
  • Gupta, Sachin Kumar ;
  • Kolev, Nikolay G ;
  • Unger, Ron ;
  • Ullu, Elisabetta ;
  • Tschudi, Christian ;
  • Michaeli, Shulamit
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.1412749.v2January 2015

Genome-wide analysis of small nucleolar RNAs of <i>Leishmania major</i> reveals a rich repertoire of RNAs involved in modification and processing of rRNA

Trypanosomatids are protozoan parasites and the causative agent of infamous infectious diseases. These organisms regulate their gene expression mainly at the post-transcriptional level and possess characteristic RNA processing mechanisms. In this study, we analyzed the complete repertoire of Leishmania major small nucleolar (snoRNA) RNAs by performing RNA-seq analysis on RNAs that were affinity-purified using the C/D snoRNA core protein, SNU13, and the H/ACA core protein, NHP2. This study revealed a large collection of C/D and H/ACA snoRNAs, organized in gene clusters generally containing both snoRNA types. Abundant snoRNAs were identified and predicted to guide trypanosome-specific rRNA cleavages. The repertoire of snoRNAs was compared to that of the closely related Trypanosoma brucei, and 80% of both C/D and H/ACA molecules were found to have functional homologues. The comparative analyses elucidated how snoRNAs evolved to generate molecules with analogous functions in both species. Interestingly, H/ACA RNAs have great flexibility in their ability to guide modifications, and several of the RNA species can guide more than one modification, compensating for the presence of single hairpin H/ACA snoRNA in these organisms. Placing the predicted modifications on the rRNA secondary structure revealed hypermodification regions mostly in domains which are modified in other eukaryotes, in addition to trypanosome-specific modifications.

Authors

  • Eliaz, Dror ;
  • Doniger, Tirza ;
  • Tkacz, Itai Dov ;
  • Viplov Kumar Biswas ;
  • Gupta, Sachin Kumar ;
  • Kolev, Nikolay G ;
  • Unger, Ron ;
  • Ullu, Elisabetta ;
  • Tschudi, Christian ;
  • Michaeli, Shulamit
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.1412749.v3January 2015