cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14205152
title: Additional file 1 of Next-generation sequencing facilitates differentiating between multiple primary lung cancer and intrapulmonary metastasis: a case series

description: Additional file 1. List of the 520 genes in the OncoScreen panel.
DOI: 10.6084/m9.figshare.14205152.v1
title: Additional file 1 of Next-generation sequencing facilitates differentiating between multiple primary lung cancer and intrapulmonary metastasis: a case series

description: Additional file 1. List of the 520 genes in the OncoScreen panel.
DOI: 10.25582/data.2021-12.2389840/2285959
title: Data for EMSL Project 51834 from December 2021
DOI: 10.6084/m9.figshare.6887423.v2
title: PTENα regulates mitophagy and maintains mitochondrial quality control

description: PTEN plays an important role in tumor suppression, and PTEN family members are involved in multiple biological processes in various subcellular locations. Here we report that PTENα, the first identified PTEN isoform, regulates mitophagy through promotion of PARK2 recruitment to damaged mitochondria. We show that PTENα-deficient mice exhibit accumulation of cardiac mitochondria with structural and functional abnormalities, and PTENα-deficient mouse hearts are more susceptible to injury induced by isoprenaline and ischemia-reperfusion. Mitochondrial clearance by mitophagy is also impaired in PTENα-deficient cardiomyocytes. In addition, we found PTENα physically interacts with the E3 ubiquitin ligase PRKN, which is an important mediator of mitophagy. PTENα binds PRKN through the membrane binding helix in its N-terminus, and promotes PRKN mitochondrial translocation through enhancing PRKN self-association in a phosphatase-independent manner. Loss of PTENα compromises mitochondrial translocation of PRKN and resultant mitophagy following mitochondrial depolarization. We propose that PTENα functions as a mitochondrial quality controller that maintains mitochondrial function and cardiac homeostasis. <b>Abbreviations:</b> BECN1 beclin 1; CCCP carbonyl cyanide m-chlorophenylhydrazone; FBXO7 F-box protein 7; FS fraction shortening; HSPA1L heat shock protein family A (Hsp70) member 1 like; HW: BW heart weight:body weight ratio; I-R ischemia-reperfusion; ISO isoprenaline; MAP1LC3/LC3 microtubule associated protein 1 light chain 3; MBH membrane binding helix; MFN1 mitofusin 1; MFN2 mitofusin 2; Nam nicotinamide; TMRM tetramethylrhodamine ethyl ester; WGA wheat germ agglutinin
DOI: 10.25582/data.2022-10.2621194/2285960
title: Data for EMSL Project 51834 from October 2022
DOI: 10.6084/m9.figshare.6887423.v1
title: PTENα regulates mitophagy and maintains mitochondrial quality control

description: PTEN plays an important role in tumor suppression, and PTEN family members are involved in multiple biological processes in various subcellular locations. Here we report that PTENα, the first identified PTEN isoform, regulates mitophagy through promotion of PARK2 recruitment to damaged mitochondria. We show that PTENα-deficient mice exhibit accumulation of cardiac mitochondria with structural and functional abnormalities, and PTENα-deficient mouse hearts are more susceptible to injury induced by isoprenaline and ischemia-reperfusion. Mitochondrial clearance by mitophagy is also impaired in PTENα-deficient cardiomyocytes. In addition, we found PTENα physically interacts with the E3 ubiquitin ligase PRKN, which is an important mediator of mitophagy. PTENα binds PRKN through the membrane binding helix in its N-terminus, and promotes PRKN mitochondrial translocation through enhancing PRKN self-association in a phosphatase-independent manner. Loss of PTENα compromises mitochondrial translocation of PRKN and resultant mitophagy following mitochondrial depolarization. We propose that PTENα functions as a mitochondrial quality controller that maintains mitochondrial function and cardiac homeostasis. <b>Abbreviations:</b> BECN1 beclin 1; CCCP carbonyl cyanide m-chlorophenylhydrazone; FBXO7 F-box protein 7; FS fraction shortening; HSPA1L heat shock protein family A (Hsp70) member 1 like; HW: BW heart weight:body weight ratio; I-R ischemia-reperfusion; ISO isoprenaline; MAP1LC3/LC3 microtubule associated protein 1 light chain 3; MBH membrane binding helix; MFN1 mitofusin 1; MFN2 mitofusin 2; Nam nicotinamide; TMRM tetramethylrhodamine ethyl ester; WGA wheat germ agglutinin
DOI: 10.25582/data.2021-09.2329628/2285961
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2022-01.2417089/2285962
title: Data for EMSL Project 51834 from January 2022
DOI: 10.25582/data.2021-10.2368134/2285963
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2021-12.2411318/2285964
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2021-09.2327121/2285965
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-10.2352765/2285966
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2021-10.2368671/2285967
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2021-08.2305222/2285968
title: Data for EMSL Project 51834 from August 2021
DOI: 10.25582/data.2021-09.2322502/2285969
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2022-09.2608871/2285970
title: Data for EMSL Project 51834 from September 2022
DOI: 10.25582/data.2022-10.2620789/2285971
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2021-09.2322357/2285972
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2022-10.2621736/2285973
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2021-10.2346863/2285974
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2022-09.2608755/2285975
title: Data for EMSL Project 51834 from September 2022
DOI: 10.25582/data.2021-12.2399881/2285976
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2022-10.2616421/2285977
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2022-10.2623286/2285978
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2021-08.2304616/2285979
title: Data for EMSL Project 51834 from August 2021
DOI: 10.25582/data.2021-09.2318499/2285980
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-11.2389179/2285981
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2021-09.2328545/2285982
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-09.2332479/2285983
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-09.2327197/2285984
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2022-04.2479125/2285985
title: Data for EMSL Project 51834 from April 2022
DOI: 10.25582/data.2022-01.2417433/2285986
title: Data for EMSL Project 51834 from January 2022
DOI: 10.25582/data.2021-11.2387646/2285987
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2022-09.2609695/2285988
title: Data for EMSL Project 51834 from September 2022
DOI: 10.25582/data.2021-08.2304744/2285989
title: Data for EMSL Project 51834 from August 2021
DOI: 10.25582/data.2022-09.2610361/2285990
title: Data for EMSL Project 51834 from September 2022
DOI: 10.25582/data.2021-10.2361393/2285991
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2021-10.2361851/2285992
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2021-11.2388308/2285993
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2021-11.2387370/2285994
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2021-12.2389825/2285995
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2021-10.2368064/2285996
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2022-10.2623082/2285997
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2022-01.2417020/2285998
title: Data for EMSL Project 51834 from January 2022
DOI: 10.6084/m9.figshare.15253774
title: Additional file 9 of Extended mining of the oil biosynthesis pathway in biofuel plant Jatropha curcas by combined analysis of transcriptome and gene interactome data

description: Additional file 9. Prediction of oil-biosynthesis-related genes.
DOI: 10.6084/m9.figshare.15253711
title: Additional file 11 of Extended mining of the oil biosynthesis pathway in biofuel plant Jatropha curcas by combined analysis of transcriptome and gene interactome data

description: Additional file 11. Expression clusters of predicited oil-biosynthesis-related genes.
DOI: 10.25582/data.2021-10.2361596/2285999
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2021-08.2304655/2286000
title: Data for EMSL Project 51834 from August 2021
DOI: 10.6084/m9.figshare.15253705.v1
title: Additional file 10 of Extended mining of the oil biosynthesis pathway in biofuel plant Jatropha curcas by combined analysis of transcriptome and gene interactome data

description: Additional file 10. BP and MF enrichment.
DOI: 10.6084/m9.figshare.15253714.v1
title: Additional file 12 of Extended mining of the oil biosynthesis pathway in biofuel plant Jatropha curcas by combined analysis of transcriptome and gene interactome data

description: Additional file 12. Predicited oil-biosynthesis-related genes in different sub-pathways.
DOI: 10.6084/m9.figshare.15253723.v1
title: Additional file 1 of Extended mining of the oil biosynthesis pathway in biofuel plant Jatropha curcas by combined analysis of transcriptome and gene interactome data

description: Additional file 1. Arabidopsis oil-biosynthesis-related genes.
DOI: 10.6084/m9.figshare.15253735
title: Additional file 4 of Extended mining of the oil biosynthesis pathway in biofuel plant Jatropha curcas by combined analysis of transcriptome and gene interactome data

description: Additional file 4. PPI network statistics of Jatropha curcas.
DOI: 10.6084/m9.figshare.15253738
title: Additional file 5 of Extended mining of the oil biosynthesis pathway in biofuel plant Jatropha curcas by combined analysis of transcriptome and gene interactome data

description: Additional file 5. The results of NBD algorithm on co-expression networks with different SCC cutoffs.
DOI: 10.6084/m9.figshare.15253756.v1
title: Additional file 7 of Extended mining of the oil biosynthesis pathway in biofuel plant Jatropha curcas by combined analysis of transcriptome and gene interactome data

description: Additional file 7. GO consistency.
DOI: 10.6084/m9.figshare.15253729
title: Additional file 3 of Extended mining of the oil biosynthesis pathway in biofuel plant Jatropha curcas by combined analysis of transcriptome and gene interactome data

description: Additional file 3. Homologous correspondence of oil-biosynthesis-related genes between Arabidopsis and Jatropha curcas.
DOI: 10.6084/m9.figshare.15253723
title: Additional file 1 of Extended mining of the oil biosynthesis pathway in biofuel plant Jatropha curcas by combined analysis of transcriptome and gene interactome data

description: Additional file 1. Arabidopsis oil-biosynthesis-related genes.
DOI: 10.25582/data.2021-09.2322565/2286001
title: Data for EMSL Project 51834 from September 2021
DOI: 10.6084/m9.figshare.15253726
title: Additional file 2 of Extended mining of the oil biosynthesis pathway in biofuel plant Jatropha curcas by combined analysis of transcriptome and gene interactome data

description: Additional file 2. Jatropha curcas oil-biosynthesis-related genes based on homology search.
DOI: 10.6084/m9.figshare.15253711.v1
title: Additional file 11 of Extended mining of the oil biosynthesis pathway in biofuel plant Jatropha curcas by combined analysis of transcriptome and gene interactome data

description: Additional file 11. Expression clusters of predicited oil-biosynthesis-related genes.
DOI: 10.25582/data.2022-09.2609597/2286002
title: Data for EMSL Project 51834 from September 2022
DOI: 10.6084/m9.figshare.15253756
title: Additional file 7 of Extended mining of the oil biosynthesis pathway in biofuel plant Jatropha curcas by combined analysis of transcriptome and gene interactome data

description: Additional file 7. GO consistency.
DOI: 10.25582/data.2022-09.2610435/2286003
title: Data for EMSL Project 51834 from September 2022
DOI: 10.25582/data.2021-12.2390338/2286004
title: Data for EMSL Project 51834 from December 2021
DOI: 10.6084/m9.figshare.15253774.v1
title: Additional file 9 of Extended mining of the oil biosynthesis pathway in biofuel plant Jatropha curcas by combined analysis of transcriptome and gene interactome data

description: Additional file 9. Prediction of oil-biosynthesis-related genes.
DOI: 10.6084/m9.figshare.19448246
title: Circ<i>RIMKLB</i> promotes myoblast proliferation and inhibits differentiation by sponging <i>miR-29c</i> to release <i>KCNJ12</i>

description: Muscle development is a complex process that was regulated by many factors, among which non-coding RNAs (ncRNAs) play a vital role in regulating multiple life activities of muscle cells. Circular RNA (circRNA), a type of non-coding RNA with closed-loop structure, has been reported to affect multiple life processes. However, the roles of circRNAs on muscle development have not been fully elucidated. The present study aimed to determine whether and how circ<i>RIMKLB</i> affects muscle development. Our study revealed that circ<i>RIMKLB</i> promoted myoblast proliferation and inhibited differentiation. Besides, <i>miR-29</i>c was proved as a downstream target of circ<i>RIMKLB</i> using dual-luciferase reporter assay and RNA-binding protein immunoprecipitation (RIP) assay. Also, potassium inwardly rectifying channel subfamily J member 12 (<i>KCNJ12</i>) was identified as a novel target of <i>miR-29c</i> via dual-luciferase reporter assay, quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR), and western blot. Circ<i>RIMKLB</i> and <i>KCNJ12</i> were both proved to regulate cell cycle on muscle regeneration after injury <i>in vivo</i>. In conclusion, we demonstrated that circ<i>RIMKLB</i> sponged <i>miR-29c</i>, releasing <i>KCNJ12</i> to regulate myoblast proliferation and differentiation and regulating cell cycle during muscle regeneration after injury <i>in vivo</i>.
DOI: 10.6084/m9.figshare.19448246.v1
title: Circ<i>RIMKLB</i> promotes myoblast proliferation and inhibits differentiation by sponging <i>miR-29c</i> to release <i>KCNJ12</i>

description: Muscle development is a complex process that was regulated by many factors, among which non-coding RNAs (ncRNAs) play a vital role in regulating multiple life activities of muscle cells. Circular RNA (circRNA), a type of non-coding RNA with closed-loop structure, has been reported to affect multiple life processes. However, the roles of circRNAs on muscle development have not been fully elucidated. The present study aimed to determine whether and how circ<i>RIMKLB</i> affects muscle development. Our study revealed that circ<i>RIMKLB</i> promoted myoblast proliferation and inhibited differentiation. Besides, <i>miR-29</i>c was proved as a downstream target of circ<i>RIMKLB</i> using dual-luciferase reporter assay and RNA-binding protein immunoprecipitation (RIP) assay. Also, potassium inwardly rectifying channel subfamily J member 12 (<i>KCNJ12</i>) was identified as a novel target of <i>miR-29c</i> via dual-luciferase reporter assay, quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR), and western blot. Circ<i>RIMKLB</i> and <i>KCNJ12</i> were both proved to regulate cell cycle on muscle regeneration after injury <i>in vivo</i>. In conclusion, we demonstrated that circ<i>RIMKLB</i> sponged <i>miR-29c</i>, releasing <i>KCNJ12</i> to regulate myoblast proliferation and differentiation and regulating cell cycle during muscle regeneration after injury <i>in vivo</i>.
DOI: 10.25582/data.2022-10.2617114/2286005
title: Data for EMSL Project 51834 from October 2022
DOI: 10.6084/m9.figshare.15253705
title: Additional file 10 of Extended mining of the oil biosynthesis pathway in biofuel plant Jatropha curcas by combined analysis of transcriptome and gene interactome data

description: Additional file 10. BP and MF enrichment.
DOI: 10.6084/m9.figshare.3567531
title: Appendix E. Estimating species detection probabilities by matrix type.

description: Estimating species detection probabilities by matrix type.
DOI: 10.6084/m9.figshare.3567531.v1
title: Appendix E. Estimating species detection probabilities by matrix type.

description: Estimating species detection probabilities by matrix type.
DOI: 10.6084/m9.figshare.3567528
title: Appendix F. Traits of native resident Jamaican birds.

description: Traits of native resident Jamaican birds.
DOI: 10.6084/m9.figshare.3567528.v1
title: Appendix F. Traits of native resident Jamaican birds.

description: Traits of native resident Jamaican birds.
DOI: 10.6084/m9.figshare.3567525
title: Appendix A. Additional methodological details about the statistical model.

description: Additional methodological details about the statistical model.
DOI: 10.6084/m9.figshare.3567519
title: Supplement 2. R code that simulates the dynamics of populations of Dicerandra frutescens ssp. frutescens experiencing alternative fire regimes, using BUGS output.

description: File List Supplement2Code.r Description The code is commented throughout (following pound signs, ###). A path must be specified to the Bugs output files.
DOI: 10.6084/m9.figshare.3567519.v1
title: Supplement 2. R code that simulates the dynamics of populations of Dicerandra frutescens ssp. frutescens experiencing alternative fire regimes, using BUGS output.

description: File List Supplement2Code.r Description The code is commented throughout (following pound signs, ###). A path must be specified to the Bugs output files.
DOI: 10.6084/m9.figshare.3567507
title: Appendix A. Results of repeated-measures generalized linear models and general linear models on the effects of river reach and treatment and their interaction.

description: Results of repeated-measures generalized linear models and general linear models on the effects of river reach and treatment and their interaction.
DOI: 10.6084/m9.figshare.3567507.v1
title: Appendix A. Results of repeated-measures generalized linear models and general linear models on the effects of river reach and treatment and their interaction.

description: Results of repeated-measures generalized linear models and general linear models on the effects of river reach and treatment and their interaction.
DOI: 10.6084/m9.figshare.3567285
title: Appendix B. Results of multiple comparison tests in cases when repeated-measures generalized or general linear models indicated a significant reach type or treatment effect.

description: Results of multiple comparison tests in cases when repeated-measures generalized or general linear models indicated a significant reach type or treatment effect.
DOI: 10.6084/m9.figshare.3567285.v1
title: Appendix B. Results of multiple comparison tests in cases when repeated-measures generalized or general linear models indicated a significant reach type or treatment effect.

description: Results of multiple comparison tests in cases when repeated-measures generalized or general linear models indicated a significant reach type or treatment effect.
DOI: 10.6084/m9.figshare.3567282
title: Appendix C. Generalized linear models of mean plot-scale species richness as a function of treatment and environmental covariables.

description: Generalized linear models of mean plot-scale species richness as a function of treatment and environmental covariables.
DOI: 10.6084/m9.figshare.3567282.v1
title: Appendix C. Generalized linear models of mean plot-scale species richness as a function of treatment and environmental covariables.

description: Generalized linear models of mean plot-scale species richness as a function of treatment and environmental covariables.
DOI: 10.6084/m9.figshare.3567279
title: Appendix D. Generalized linear models of cumulative site-scale species richness as a function of treatment, insolation, number of upstream tributaries, and reservoir area for impounded reaches.

description: Generalized linear models of cumulative site-scale species richness as a function of treatment, insolation, number of upstream tributaries, and reservoir area for impounded reaches.
DOI: 10.6084/m9.figshare.3567279.v1
title: Appendix D. Generalized linear models of cumulative site-scale species richness as a function of treatment, insolation, number of upstream tributaries, and reservoir area for impounded reaches.

description: Generalized linear models of cumulative site-scale species richness as a function of treatment, insolation, number of upstream tributaries, and reservoir area for impounded reaches.
DOI: 10.6084/m9.figshare.3567276
title: Appendix A. Prior distributions, conditional relationships and distribution theory needed for algorithm development, algorithms used for Metropolis within Gibbs, and some issues related to MCMC diagnostics.

description: Prior distributions, conditional relationships and distribution theory needed for algorithm development, algorithms used for Metropolis within Gibbs, and some issues related to MCMC diagnostics.
DOI: 10.6084/m9.figshare.3567276.v1
title: Appendix A. Prior distributions, conditional relationships and distribution theory needed for algorithm development, algorithms used for Metropolis within Gibbs, and some issues related to MCMC diagnostics.

description: Prior distributions, conditional relationships and distribution theory needed for algorithm development, algorithms used for Metropolis within Gibbs, and some issues related to MCMC diagnostics.
DOI: 10.6084/m9.figshare.3567270
title: Appendix B. Parameter estimates, by species.

description: Parameter estimates, by species.
DOI: 10.6084/m9.figshare.3567270.v1
title: Appendix B. Parameter estimates, by species.

description: Parameter estimates, by species.
DOI: 10.6084/m9.figshare.3567267
title: Appendix A. Additional locality and paleoclimate data.

description: Additional locality and paleoclimate data.
DOI: 10.6084/m9.figshare.3567174
title: Appendix B. Woody dicot species and morphotypes in the Bighorn Basin floras.

description: Woody dicot species and morphotypes in the Bighorn Basin floras.
DOI: 10.6084/m9.figshare.3567174.v1
title: Appendix B. Woody dicot species and morphotypes in the Bighorn Basin floras.

description: Woody dicot species and morphotypes in the Bighorn Basin floras.
DOI: 10.6084/m9.figshare.3567171
title: Appendix C. Leaf mass per area estimates.

description: Leaf mass per area estimates.
DOI: 10.6084/m9.figshare.3567168
title: Appendix D. New insect feeding damage types from the Bighorn Basin floras.

description: New insect feeding damage types from the Bighorn Basin floras.
DOI: 10.6084/m9.figshare.3567168.v1
title: Appendix D. New insect feeding damage types from the Bighorn Basin floras.

description: New insect feeding damage types from the Bighorn Basin floras.