Automated Author Profile

A., Bhattacherjee

Current S-Index

1.4

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.7

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

84.6%

Average FAIR Score per dataset

Total Citations

1

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

Supplementary Material for: Cytogenomic Characterization of a Novel de novo Balanced Reciprocal Translocation t(1;12) by Genome Sequencing Leading to Fusion Gene Formation of <b><i>EYA3/EFCAB4b</i></b>

Introduction: The accurate detection of breakpoint regions of disease-associated chromosomal rearrangements helps understand the molecular mechanisms and identify the risks involved with disrupted genes. Methods: In this study, a girl with growth retardation is characterized using positional cloning and genome sequencing. The techniques include fluorescence in situ hybridization (FISH) with paint (WCP) and bacterial-artificial chromosomes (BAC) probes, PCR, real-time PCR, and short and long-read sequencing. Results: The translocation was identified by GTG banding and confirmed by WCP FISH. Microarray ruled out the involvement of other copy number variations except for 6 homozygous regions which are not disease-causing variants. Fine mapping with FISH showed split signals with BAC clone RP11-312A3. Genome sequencing of short-read with an average 30× depth and long-read sequencing technology with a 3.8× coverage identified both breakpoints, confirmed by Sanger sequencing, that showed microhomology. The breakpoint at 1p and 12p regions disrupted EYA3 and EFCAB4B genes. Expression analysis of EYA3 showed a 7-fold increase, suggesting the formation of a fusion gene with EFCAB4B. EYA3 is involved in skeleton development, and EFCAB4B plays a role in calcium metabolism, which may be relevant for the patient’s phenotype. Conclusion: The systematic application of genome techniques to translocations and their advantages is discussed.

Authors

  • U.R., Dutta ;
  • A., Bhattacherjee ;
  • A., Bahal ;
  • L.P., Posanapally ;
  • K.A., Lone ;
  • S., Bathula ;
  • A., Dalal
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.193680412022

Supplementary Material for: Cytogenomic Characterization of a Novel de novo Balanced Reciprocal Translocation t(1;12) by Genome Sequencing Leading to Fusion Gene Formation of <b><i>EYA3/EFCAB4b</i></b>

Introduction: The accurate detection of breakpoint regions of disease-associated chromosomal rearrangements helps understand the molecular mechanisms and identify the risks involved with disrupted genes. Methods: In this study, a girl with growth retardation is characterized using positional cloning and genome sequencing. The techniques include fluorescence in situ hybridization (FISH) with paint (WCP) and bacterial-artificial chromosomes (BAC) probes, PCR, real-time PCR, and short and long-read sequencing. Results: The translocation was identified by GTG banding and confirmed by WCP FISH. Microarray ruled out the involvement of other copy number variations except for 6 homozygous regions which are not disease-causing variants. Fine mapping with FISH showed split signals with BAC clone RP11-312A3. Genome sequencing of short-read with an average 30× depth and long-read sequencing technology with a 3.8× coverage identified both breakpoints, confirmed by Sanger sequencing, that showed microhomology. The breakpoint at 1p and 12p regions disrupted EYA3 and EFCAB4B genes. Expression analysis of EYA3 showed a 7-fold increase, suggesting the formation of a fusion gene with EFCAB4B. EYA3 is involved in skeleton development, and EFCAB4B plays a role in calcium metabolism, which may be relevant for the patient’s phenotype. Conclusion: The systematic application of genome techniques to translocations and their advantages is discussed.

Authors

  • U.R., Dutta ;
  • A., Bhattacherjee ;
  • A., Bahal ;
  • L.P., Posanapally ;
  • K.A., Lone ;
  • S., Bathula ;
  • A., Dalal
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.19368041.v12022