nanopore_update_241030.typ 29 KB

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  1. #import "@local/presentation_lib:0.1.0": *
  2. #show: setup-emoji.with(font: noto)
  3. #show: dia-theme.with("16-9")
  4. #title_dia(
  5. [
  6. 🧬 TAGC --- Implementation of whole genome longreads sequencing to decode somatic
  7. genotypes in T-ALL
  8. ],
  9. [
  10. Dr. Thomas Steimlé (MD)
  11. ---
  12. Thèse co-dirigée par Pr. Vahid Asnafi (PU-PH Necker) et Dr. Salvatore Spicuglia
  13. (DR1 Inserm)
  14. ],
  15. )
  16. #simple_dia(
  17. [
  18. ❓Main Hypothesis
  19. ],
  20. [
  21. #set align(center + horizon)
  22. #double_boxes(
  23. auto,
  24. auto,
  25. [
  26. #set align(center + horizon)
  27. #v(10pt)
  28. #set text(20pt)
  29. = Tumor proliferations harbor within their genome *intergenic somatic mutations* that disrupts the expression of oncogenes.
  30. #v(10pt)
  31. ],
  32. [],
  33. )
  34. ],
  35. )
  36. #simple_dia(
  37. [👨‍⚕️ Model --- T-ALL ],
  38. [
  39. #double_boxes(
  40. auto,
  41. auto,
  42. [
  43. #set align(center + horizon)
  44. #v(10pt)
  45. Acute lymphoblastic leukemia is a rare disease (#sym.tilde.eq 120/yr in Fr)
  46. resulting from a tumoral process driven by the clonal *proliferation of immature
  47. T lymphocytes*.
  48. #v(10pt)
  49. ],
  50. [],
  51. )
  52. #double_boxes(
  53. auto,
  54. auto,
  55. [
  56. #image("./Images/histo_ages.png")
  57. ],
  58. [Internal unpublished data],
  59. )
  60. ],
  61. )
  62. #simple_dia(
  63. [👨‍⚕️ Model --- T-ALL ],
  64. [
  65. #double_boxes(
  66. auto,
  67. auto,
  68. [
  69. #set align(center + horizon)
  70. #v(10pt)
  71. Acute lymphoblastic leukemia is a rare disease (#sym.tilde.eq 120/yr in Fr)
  72. resulting from a tumoral process driven by the clonal proliferation of *immature
  73. T lymphocytes*.
  74. #v(10pt)
  75. ],
  76. [],
  77. )
  78. #set align(horizon + center)
  79. #double_boxes(
  80. auto,
  81. auto,
  82. [
  83. #grid(
  84. columns: (50%, 50%),
  85. gutter: 5pt,
  86. [
  87. - Adults OS 3 years: 67% (GRAALL-2005)
  88. ],
  89. image("./Images/OS_graall.png", height: 67%),
  90. )
  91. ],
  92. [#set align(right)
  93. Trinquand A et al. J Clin Oncol. 2013;31(34):4333-4342],
  94. )
  95. ],
  96. )
  97. #simple_dia(
  98. [👨‍⚕️ Model --- T-ALL ],
  99. [
  100. #double_boxes(
  101. auto,
  102. auto,
  103. [
  104. #set align(center + horizon)
  105. #v(10pt)
  106. Acute lymphoblastic leukemia is a rare disease (#sym.tilde.eq 120/yr in Fr)
  107. resulting from a tumoral process driven by the clonal proliferation of *immature
  108. T lymphocytes*.
  109. #v(10pt)
  110. ],
  111. [],
  112. )
  113. #set align(horizon + center)
  114. #double_boxes(
  115. auto,
  116. auto,
  117. [
  118. #grid(
  119. columns: (50%, 50%),
  120. gutter: 5pt,
  121. [
  122. - Adults OS 3 years: 67% (GRAALL-2005)
  123. - Youths OS 5 years: 77% (FRALLE)
  124. ],
  125. align(center, image("./Images/os_KM_FRALLE2000.png", height: 67%)),
  126. )
  127. ],
  128. [Petit A et al. Blood. 2018;131(3):289-300.],
  129. )
  130. ],
  131. )
  132. #simple_dia(
  133. [👨‍⚕️ Model --- T-ALL ],
  134. [
  135. #uncover(
  136. (1, 2, 3),
  137. [
  138. #double_boxes(
  139. auto,
  140. auto,
  141. [
  142. #set align(center + horizon)
  143. #v(10pt)
  144. *Refractory* cases to standard chemotherapy as well as *relapses* (UKALL12: adults at 5
  145. years 42%) have a poor prognosis.
  146. #v(10pt)
  147. ],
  148. [],
  149. )
  150. ],
  151. )
  152. #uncover(
  153. (2, 3),
  154. [
  155. #double_boxes(
  156. auto,
  157. auto,
  158. [
  159. #set align(center + horizon)
  160. #v(10pt)
  161. *We need new treatments to address these cases !*
  162. #v(10pt)
  163. ],
  164. [],
  165. )
  166. ],
  167. )
  168. #uncover(
  169. 3,
  170. [
  171. #double_boxes(
  172. auto,
  173. auto,
  174. [
  175. #set align(center + horizon)
  176. #v(10pt)
  177. The tumor phenotype emerges from alterations in their genotype.
  178. #sym.arrow.r.stroked A better description of the genotype will lead to a better
  179. understanding of oncogenic mechanisms and to the discovery of more *effective
  180. therapies tailored to specific alterations*.
  181. #v(10pt)
  182. ],
  183. [],
  184. )
  185. ],
  186. )
  187. ],
  188. )
  189. #simple_dia(
  190. [🦀 Intergenic alterations],
  191. [
  192. #set align(center + horizon)
  193. #double_boxes(
  194. auto,
  195. auto,
  196. [
  197. #set align(center + horizon)
  198. *Somatic intergenic alterations are responsible of the deregulation of
  199. oncogenes.*
  200. #image("./Images/bradner_cis_small.png", height: 50%)
  201. ],
  202. [Bradner JE, et al. Cancer. Cell. 2017 Feb9 ;168(4):629-643],
  203. )
  204. ],
  205. )
  206. #simple_dia(
  207. [🍹 Preliminary results],
  208. [
  209. #set align(center + horizon)
  210. #double_boxes(
  211. auto,
  212. auto,
  213. [
  214. - Our laboratory has shown that a somatic insertion upstream of _TAL1_ leads to the
  215. formation of a *neo-enhancer* and thus leads to the overexpression of _TAL1_.
  216. #set align(center)
  217. #image("./Images/tal_ins.png", height: 66%)
  218. ],
  219. [Smith, C et al. “TAL1 activation in T-cell acute lymphoblastic leukemia: a novel
  220. oncogenic 3' neo-enhancer.” Haematologica vol. 108,5 1259-1271. 1 May. 2023],
  221. )
  222. ],
  223. )
  224. #simple_dia(
  225. [🎯 Goals],
  226. [
  227. #set align(center + horizon)
  228. #set text(22pt)
  229. #double_boxes(
  230. auto,
  231. auto,
  232. [
  233. #line-by-line[
  234. - *Implement* a method for sequencing the *whole tumoral genome*.
  235. - *Detect* structural variations (SV) and SNV with good sensitivity/specificity.
  236. - *Describe* a set of somatic intergenic alterations likely responsible for the deregulation of known oncogenes.
  237. - *Discover* similar alterations deregulating genes not known to be oncogenes.
  238. ]
  239. // #uncover(
  240. // (1, 2, 3, 4, 5),
  241. // [- *Implement* a method for sequencing the *whole tumoral genome*.],
  242. // )
  243. // #uncover(
  244. // (2, 3, 4, 5),
  245. // [- *Detect* structural variations (SV) and SNV with good sensitivity/specificity.],
  246. // )
  247. // #uncover(
  248. // (3, 4, 5),
  249. // [- *Describe* a set of somatic intergenic alterations likely responsible for the deregulation of known oncogenes.],
  250. // )
  251. // #uncover(
  252. // (4, 5),
  253. // [- *Discover* similar alterations deregulating genes not known to be oncogenes.
  254. // ],
  255. // )
  256. ],
  257. [],
  258. )
  259. #uncover(
  260. 5,
  261. [
  262. #double_boxes(
  263. auto,
  264. auto,
  265. [
  266. #set align(center)
  267. *#sym.arrow.r.stroked* Implementation of the *Oxford Nanopore sequencing
  268. method* and integrate multi-omics data.
  269. ],
  270. [],
  271. )
  272. ],
  273. )
  274. ],
  275. )
  276. #simple_dia(
  277. [🖥️ Infrastucture],
  278. [
  279. #double_boxes(
  280. auto,
  281. auto,
  282. [
  283. *Computer A* for processing and analyzing the signal generated by the sequencer
  284. (MAD).
  285. - 2x Intel Xeon Platinum 8380 CPU 2.30GHz
  286. - 160 cores
  287. - 503 GB RAM
  288. - 4 nVidia A100 GPU
  289. ],
  290. [],
  291. )
  292. #image("./Images/promethions_stock.jpg", height: 35%)
  293. #uncover(
  294. 2,
  295. [
  296. #double_boxes(
  297. auto,
  298. auto,
  299. [
  300. *Computer B* for data archiving and sharing.
  301. - 52 To fo HD in raidz1 mode (redundancy)
  302. - LTO: magnetic tape drive (raw data archiving)
  303. ],
  304. [],
  305. )
  306. ],
  307. )
  308. ],
  309. )
  310. #simple_dia(
  311. [🧪 Wet lab],
  312. [
  313. #set align(center + horizon)
  314. #double_boxes(
  315. auto,
  316. auto,
  317. [
  318. - Intermediate difficulty level.
  319. - 3 half-days of work.
  320. ],
  321. [],
  322. )
  323. #uncover(
  324. 2,
  325. [
  326. #double_boxes(
  327. auto,
  328. auto,
  329. align(
  330. center,
  331. [
  332. 1. Genomic DNA *shearing* Covaris g-TUBE (3µg, 8,000rpm, 1min)
  333. #image("./Images/covaris.png", height: 20%)
  334. ],
  335. ),
  336. [],
  337. )
  338. ],
  339. )
  340. ],
  341. )
  342. #simple_dia(
  343. [🧪 Wet lab],
  344. [
  345. #set align(center + horizon)
  346. #double_boxes(
  347. auto,
  348. 70%,
  349. [
  350. #set align(center + horizon)
  351. 2. *Preparation of the sequence library*
  352. DNA *repair* and end-prep #sym.arrow.r.stroked *barcode* ligation #sym.arrow.r.stroked *adapter* ligation
  353. #image("./Images/library_construction.png", height: 70%)
  354. ],
  355. [],
  356. )
  357. ],
  358. )
  359. #simple_dia(
  360. [🧪 Wet lab],
  361. [
  362. #set align(center + horizon)
  363. #double_boxes(
  364. auto,
  365. 75%,
  366. [
  367. #set align(center + horizon)
  368. 3. Flowcells *loading* and *sequencing run*
  369. #grid(
  370. columns: (auto, auto),
  371. gutter: 45pt,
  372. image("./Images/fc_loading.png", height: 65%),
  373. image("./Images/sequencing_principle.png", height: 75%),
  374. )
  375. ],
  376. [],
  377. )
  378. ],
  379. )
  380. #simple_dia(
  381. [💾 Bioinformatic Pipeline ],
  382. [
  383. #double_boxes(
  384. auto,
  385. auto,
  386. [
  387. 1. *Base calling* and *Alignement* on hs1 (T2T).
  388. Latest version of Dorado 0.8.1 with latest AI model of 5mC 5hmC modified
  389. basecalling (v5.0).
  390. #set align(center + horizon)
  391. #grid(
  392. columns: (0.6fr, 0.1fr, 1fr),
  393. gutter: 15pt,
  394. image("./Images/pod5_signal.png", height: 30%),
  395. [$#sym.arrow.r.long$],
  396. text(
  397. 10pt,
  398. raw(
  399. "059b2db8-416c-4fdf-b7eb-3cdd3390a3bd 0 chr1 2 1 1075S5M1D8M1D36M1D4M1D116M1D111M1I485M3I595M...69M1I12M1I16M1D48M1641S * 0 0 AAGGTTAAAACCAAGACTCGCTGTGC 8;88;;<<<:::98...87877676645654456798997 qs:i:22 du:f:14.
  400. 137 ns:i:70685 ts:i:904 mx:i:2 ch:i:1307 st:Z:2023-12-14T18:30:59.187+00:00 rn:i:36917 fn:Z:PAS34492_pass_barcode
  401. 09_2e65ae3a_a7dfa7d7_4228.pod5 sm:f:-764.172 sd:f:0.00798761 sv:Z:pa dx:i:0 RG:Z:a7dfa7d727c0e04ecb6e9c5c3dac8080fe7cffaa_dna_r10.4.1_e8.2_400bps_sup@v4.3.0 MN:i:5392 MM:Z:C+h.,1,0,1,0,0,4,5,117,36,0,93,99,56,0,65...; ML:B:C,152,3,5,3,3,1,...; NM:i:1
  402. 71 ms:i:4485 AS:i:4438 nn:i:0 de:f:0.0502045 tp:A:P cm:i:11 s1:i:82 s2:i:148 MD:Z:5^A8^C36^C4^A116^C...; rl:i
  403. :3576 SA:Z:chr8,146252402,-,1604M1D3788S,36,10;",
  404. block: true,
  405. ),
  406. ),
  407. )
  408. ],
  409. [],
  410. )
  411. #uncover(
  412. 2,
  413. double_boxes(
  414. auto,
  415. auto,
  416. [2. *Variant calling*
  417. #set text(13pt)
  418. - DeepVariant (Google v1.6.1) on constit and tumoral BAMs.
  419. - ClairS (HK-UBAL v0.1.7) takes both constit and tumoral BAMs.
  420. - #strike[Sniffles (Fritz Sedlazeck v2.2) on constit and tumoral BAMs.]
  421. - NanoMonSV (Yuichi Shiraishi v0.7.2) takes both constit and tumoral BAMs.
  422. - Exogene (Z. Stephens v15) viral integration.
  423. ],
  424. [],
  425. ),
  426. )
  427. ],
  428. )
  429. #simple_dia(
  430. [💾 Bioinformatic Pipeline --- Aggregation],
  431. [
  432. #set align(center + horizon)
  433. #grid(
  434. columns: (40%, 40%),
  435. gutter: 8%,
  436. double_boxes(
  437. auto,
  438. auto,
  439. [1. VCF filter #align(center + horizon, image("./Images/first_pass_flow.png", height: 90%)) ],
  440. [],
  441. ),
  442. uncover(
  443. 2,
  444. double_boxes(
  445. auto,
  446. auto,
  447. [2. BAM filter #align(center + horizon, image("./Images/second_pass_flow.png", height: 90%)) ],
  448. [],
  449. ),
  450. ),
  451. )
  452. ],
  453. )
  454. #simple_dia(
  455. [📈 Results --- Number of somatic alterations],
  456. [
  457. #set align(center + horizon)
  458. #set text(16pt)
  459. #double_boxes(
  460. auto,
  461. 75%,
  462. [
  463. #set align(center + horizon)
  464. #image("./Images/n_somatic.png", height: 90%)
  465. ],
  466. [],
  467. )
  468. ],
  469. )
  470. #simple_dia(
  471. [💾 Bioinformatic Pipeline --- Annotation],
  472. [
  473. #double_boxes(
  474. auto,
  475. auto,
  476. [
  477. 3. Annotations
  478. - VEP for variant consequence prediction (ensembl v112)
  479. - Cosmic DB (latest)
  480. - dbSNP
  481. - NCBI genomic regions (latest)
  482. ],
  483. [],
  484. )
  485. #image("./Images/vep_consequences.svg", height: 60%)
  486. ],
  487. )
  488. #simple_dia(
  489. [📈 Results --- Number of somatic missense alterations],
  490. [
  491. #set align(center + horizon)
  492. #set text(16pt)
  493. #double_boxes(
  494. auto,
  495. 75%,
  496. [
  497. #set align(center + horizon)
  498. #image("./Images/n_somatic_missenses.png", height: 90%)
  499. ],
  500. [],
  501. )
  502. ],
  503. )
  504. #simple_dia(
  505. [🏎️ Performances --- Substitution calling],
  506. [
  507. #set align(center + horizon)
  508. #set text(16pt)
  509. #double_boxes(
  510. auto,
  511. 70%,
  512. [
  513. #set align(center + horizon)
  514. #image("./Images/perf.png", height: 90%)
  515. ],
  516. [],
  517. )
  518. ],
  519. )
  520. #simple_dia(
  521. [💾 Bioinformatic Pipeline --- _de novo_],
  522. [
  523. #double_boxes(
  524. auto,
  525. auto,
  526. [
  527. Implementation of _de novo assemblage_ for LRS: \
  528. Inspired by *SV-finder* (local de novo assembly)
  529. - *Scan* alignements and select locally misaligned reads (outliers detection).
  530. - *Assemble* them together (wtdbg2 v2.5 and spades v4.0).
  531. - *Describe* the resulting consensus sequence (Blast, minimap2).
  532. ],
  533. [],
  534. )
  535. #align(
  536. center,
  537. double_boxes(
  538. auto,
  539. 70%,
  540. image("./Images/sc-finder.png", height: 55%),
  541. [],
  542. ),
  543. )
  544. ],
  545. )
  546. #simple_dia(
  547. [📈 Results --- Number of somatic SV],
  548. [
  549. #set align(center + horizon)
  550. #set text(16pt)
  551. #double_boxes(
  552. auto,
  553. 75%,
  554. [
  555. #set align(center + horizon)
  556. #image("./Images/n_somatic_SV.png", height: 90%)
  557. ],
  558. [],
  559. )
  560. ],
  561. )
  562. #simple_dia(
  563. [🔬 Visualization and interpretation of results],
  564. [
  565. #set align(center + horizon)
  566. #set text(22pt)
  567. #double_boxes(
  568. auto,
  569. auto,
  570. [
  571. #set align(center + horizon)
  572. Development of a web service (HTMX + Bun) for *sharing, visualization, and
  573. interpretation of the results*.
  574. #link("http://localhost")[*DEMO*] (C.... ex.: _PHF6_ et _AEBP2_)
  575. ],
  576. [],
  577. )
  578. ],
  579. )
  580. #simple_dia(
  581. [📝 Reporting],
  582. [
  583. #set align(center + horizon)
  584. #double_boxes(
  585. auto,
  586. 80%,
  587. [
  588. #set align(center + horizon)
  589. After the manual interpretation of the results and the redaction of a conclusion.
  590. ],
  591. [],
  592. )
  593. #uncover(
  594. (2, 3),
  595. double_boxes(
  596. auto,
  597. 80%,
  598. [
  599. #set align(left)
  600. The system generates a detailed PDF report that seamlessly integrates:
  601. + Detailed quality metrics (with graphics generation)
  602. + Interpreted genetic mutations (Pathogenic, ...)
  603. + Analytical conclusions
  604. ],
  605. [],
  606. ),
  607. )
  608. #uncover(
  609. 3,
  610. double_boxes(
  611. auto,
  612. 25%,
  613. align(
  614. center,
  615. link("http://localhost/data/longreads_basic_pipe/CHAMPION/diag/report/CHAMPION_report.pdf")[Example...],
  616. ),
  617. [],
  618. ),
  619. )
  620. ],
  621. )
  622. #simple_dia(
  623. [👥 Cohorts],
  624. [
  625. #set align(center + horizon)
  626. #set text(22pt)
  627. #double_boxes(
  628. auto,
  629. auto,
  630. [
  631. Initially, to investigate our hypothesis, we decided to sequence T-ALLs
  632. harboring deregulation of the expression of known frequent oncogenes in T-ALL:
  633. - *_TAL1_* (cis-deregulated),
  634. - *_HOXA9_* (RT-MLPA neg),
  635. - * _TLX1_* deregulated without genetic explanation (FISH neg and NGS panel neg).
  636. ],
  637. [],
  638. )
  639. #uncover(
  640. 2,
  641. [
  642. #double_boxes(
  643. auto,
  644. auto,
  645. [
  646. We also decided to sequence a cohort of pediatric T-ALLs and an adult one with
  647. deregulation of _TLX3_ (Pediac/Manon project). As well as a cohort of T-ALLs *<
  648. 3 years*.
  649. ],
  650. [],
  651. )
  652. ],
  653. )
  654. ],
  655. )
  656. #simple_dia(
  657. [👥 Bilan des flowcells],
  658. image("./Images/Bilan_Nanopore_20241030.png")
  659. )
  660. #simple_dia(
  661. [👥 Cohort _HOXA_ --- n = 14],
  662. [
  663. #set align(center + horizon)
  664. #set text(16pt)
  665. #double_boxes(
  666. auto,
  667. auto,
  668. [
  669. #table(
  670. columns: (1fr, auto, auto, auto, auto),
  671. inset: 5pt,
  672. align: (auto, center, center, center, center),
  673. stroke: colors.indigo,
  674. [*id*],
  675. [*X*],
  676. [*mécanisme*],
  677. [*interpretation*],
  678. [*info*],
  679. [ALLEMAND], text(fill: red)[11], [Multiples mutations de _MLLT3_ + hotspot _CSF3R_], [❓], [],
  680. [BELARBI], text(fill: yellow)[13], [Altération de _GATA3_ + _KMT2C_], [❓], [],
  681. [BERNIER], text(fill: green)[15], [DPP10::SET], [✅], [],
  682. [BOUDJELTHIA], text(fill: yellow)[13], [_KMT2E_ ter], [❓], [JAK/STAT],
  683. [GARAGNON], text(fill: green)[13], [TRB::HOXA *inv7*], [✅], [JAK/STAT],
  684. [HATTAB], text(fill: red)[11], [AFDN::KMT2A *t(6;11)*], [✅], [],
  685. [KENNOUCHE], [_en cours_], [], [], [],
  686. [LAVIDALE], [_en cours_], [], [], [],
  687. [MANCUSO], text(fill: red)[10], [TNRC18::KMT2A], [✅], [],
  688. [MERY], text(fill: green)[16], [TRB::HOXA *inv7*], [✅], [JAK/STAT],
  689. [MICHELAS], [_en cours_], [], [], [],
  690. [MIGAUD], text(fill: green)[26], [mutation _EN1_ (homeobox)], [❓], [],
  691. [MORIN], text(fill: green)[22], [TRB::HOXA *inv7*], [✅], [JAK/STAT],
  692. [SAUTRE], text(fill: green)[28], [AFDN::KMT2A *t(6;11)*], [✅], []
  693. )
  694. ],
  695. [],
  696. )
  697. ],
  698. )
  699. // #simple_dia(
  700. // [👥 Cohorts],
  701. // [
  702. // #set align(center + horizon)
  703. // #set text(16pt)
  704. // #double_boxes(
  705. // auto,
  706. // auto,
  707. // [
  708. // #table(
  709. // columns: (1fr, auto, auto, auto, auto, auto, auto),
  710. // align: (auto, center, center, center, center, center, center),
  711. // inset: 10pt,
  712. // stroke: colors.indigo,
  713. // [*Projet*],
  714. // [*Demandés*],
  715. // [*#sym.emptyset MRD*],
  716. // [*Possibles*],
  717. // [*En attente*],
  718. // [*Séquencés ($1/2$)*],
  719. // [*> 10X*],
  720. //
  721. // [*_HOXA_ + / RT-MLPA #sym.emptyset*],
  722. // [30],
  723. // [23],
  724. // [7],
  725. // [2],
  726. // [2 (3)],
  727. // [2],
  728. //
  729. // [*_HOXA_ + / RT-MLPA -*], [29], [20], [9], [2], [3 (4)], [3],
  730. // [*_TAL1_ + / mono-alléliques*], [10], [3], [7], [0], [5 (2)], [5],
  731. // [*_TLX1_ + / FISH -*], [14], [6], [8], [5], [1 (2)], [1],
  732. // [*< 3 ans*], [24], [8], [16], [5], [6 (5)], [6],
  733. // [*_TLX3_ + adultes*], [21], [9], [12], [4], [3 (5)], [3],
  734. // [*_TLX3_ + pédiatriques*], [14], [1], [13], [2], [5 (6)], [5],
  735. // )
  736. // ],
  737. // [],
  738. // )
  739. //
  740. // #uncover(
  741. // 2,
  742. // [
  743. // #set text(20pt)
  744. // #double_boxes(
  745. // auto,
  746. // auto,
  747. // [
  748. // - Samples remaining: 62
  749. // - Remaining flow cells for 58 samples.
  750. // ],
  751. // [],
  752. // )
  753. // ],
  754. // )
  755. // ],
  756. // )
  757. //
  758. // #simple_dia([Results --- Number of somatic alterations], [
  759. // #set align(center + horizon)
  760. //
  761. // #double_boxes(auto, auto, [
  762. // Callers overlapps
  763. // #image("./Images/hist_callers.png")
  764. // ], [])
  765. // ])
  766. // #simple_dia(
  767. // [Results --- Number of somatic alterations],
  768. // [
  769. // #set align(center + horizon)
  770. // #double_boxes(
  771. // auto,
  772. // 60%,
  773. // [
  774. // #set align(center + horizon)
  775. // Variants consequences
  776. // #image("./Images/hist_consequences.png", height: 90%)
  777. // ],
  778. // [],
  779. // )
  780. // ],
  781. // )
  782. //
  783. // #simple_dia(
  784. // [Results --- Number of somatic alterations],
  785. // [
  786. // #set align(center + horizon)
  787. // #double_boxes(
  788. // auto,
  789. // 90%,
  790. // [
  791. // #set align(center + horizon)
  792. // Variants in NCBI regions
  793. // #image("./Images/hist_regions.png", height: 90%)
  794. // ],
  795. // [],
  796. // )
  797. // ],
  798. // )
  799. // #simple_dia(
  800. // [Performances --- Phasing],
  801. // [
  802. // #set align(center + horizon)
  803. // #set text(16pt)
  804. // #double_boxes(
  805. // auto,
  806. // auto,
  807. // [
  808. // #set align(center + horizon)
  809. // #image("./Images/phasing_sch.png", height: 90%)
  810. // ],
  811. // [],
  812. // )
  813. // ],
  814. // )
  815. //
  816. // #simple_dia(
  817. // [Performances --- Phasing],
  818. // [
  819. // #set align(center + horizon)
  820. // #set text(16pt)
  821. // #double_boxes(
  822. // auto,
  823. // 70%,
  824. // [
  825. // #set align(center + horizon)
  826. // #image("./Images/phases.png", height: 90%)
  827. // ],
  828. // [],
  829. // )
  830. // ],
  831. // )
  832. //
  833. // #simple_dia(
  834. // [🤖 SV calling -- inv7 case -- bp chromosome order],
  835. // [
  836. // #set align(center + horizon)
  837. // #set text(16pt)
  838. // #double_boxes(
  839. // auto,
  840. // auto,
  841. // [
  842. // #set align(center + horizon)
  843. // #image("./Images/graphviz_01.svg", height: 90%)
  844. // ],
  845. // [],
  846. // )
  847. // ],
  848. // )
  849. //
  850. // #simple_dia(
  851. // [🤖 SV calling -- inv7 case -- paths visiting max bp],
  852. // [
  853. // #set align(center + horizon)
  854. // #set text(16pt)
  855. // #double_boxes(
  856. // auto,
  857. // auto,
  858. // [
  859. // #set align(center + horizon)
  860. // #image("./Images/graphviz_02.svg", height: 90%)
  861. // ],
  862. // [],
  863. // )
  864. // ],
  865. // )
  866. //
  867. // #simple_dia(
  868. // [🤖 SV calling -- inv7 case -- simplification],
  869. // [
  870. // #set align(center + horizon)
  871. // #set text(16pt)
  872. // #double_boxes(
  873. // auto,
  874. // auto,
  875. // [
  876. // #set align(center + horizon)
  877. // #image("./Images/graphviz_03.svg", height: 90%)
  878. // ],
  879. // [],
  880. // )
  881. // ],
  882. // )
  883. #simple_dia(
  884. [🧬 Interesting results --- _HOXA9_],
  885. [
  886. #set align(center + horizon)
  887. #uncover(
  888. 1,
  889. [
  890. #grid(
  891. columns: (60%, auto),
  892. gutter: 15pt,
  893. double_boxes(
  894. auto,
  895. auto,
  896. [
  897. #align(center, [*ME*])
  898. #v(12pt)
  899. - *Inv(7)(p15q34)* TRB/HOXA10
  900. - #raw("chr7:27,287,813_delins[ATGGGGGGGG_chr7:144,128,326inv]")
  901. - #raw("chr7:27,313,165_delins[GATGG_chr7:144,161,537inv]")
  902. ],
  903. [],
  904. ),
  905. double_boxes(
  906. auto,
  907. auto,
  908. figure(
  909. image("./Images/inv7.png", height: 60%),
  910. numbering: none,
  911. caption: [
  912. #set text(14pt)
  913. Résultats FISH break apart.
  914. #set text(10pt)
  915. Speleman, F et al. “A new recurrent inversion, inv(7)(p15q34), leads to
  916. transcriptional activation of HOXA10 and HOXA11 in a subset of T-cell acute
  917. lymphoblastic leukemias.” Leukemia vol. 19,3 (2005): 358-66.
  918. ],
  919. ),
  920. [],
  921. ),
  922. )
  923. ],
  924. )
  925. ],
  926. )
  927. #simple_dia(
  928. [🧬 Interesting results --- _HOXA9_],
  929. [
  930. #double_boxes(
  931. auto,
  932. auto,
  933. [
  934. #align(center, [*MA*])
  935. #v(12pt)
  936. - t(7;11)(p22;q23) likely *_KMT2A::TNRC18_*
  937. - #raw("chr11:118,503,451(KMT2A)_delins[CCCC_chr7:5476973(TNRC18)]")
  938. - Known fusion transcript (2 pediatric cases / 759 LAL. Meyer, C et al.
  939. Leukemia 2009)
  940. - RT-MLPA probes w/o TNRC18
  941. ],
  942. [],
  943. )
  944. #image("./Images/MANCUS_7_11.svg")
  945. ],
  946. )
  947. #simple_dia(
  948. [🧬 Interesting results --- _HOXA9_],
  949. [
  950. #double_boxes(
  951. auto,
  952. auto,
  953. [
  954. #align(center, [*BE*])
  955. #v(12pt)
  956. - Translocation t(2;9)(q14.1;q34.11) likely fusion transcript *_SET::DPP10_*
  957. - #raw("chr9:140,901,114(SET)_delins[GAACATAAAGAAAAAAA_chr2:116,043,899(DPP10)]")
  958. - *New fusion transcript in T-ALL* (only described one time in CRC: Xia, Li C et al.
  959. “Identification of large rearrangements in cancer genomes with barcode linked
  960. reads.” Nucleic acids research vol. 46,4 2018)
  961. ],
  962. [],
  963. )
  964. #image("./Images/bernier_set.svg")
  965. ],
  966. )
  967. #simple_dia(
  968. [👥 Cohort _TAL1_ --- n = 12],
  969. [
  970. #set align(center + horizon)
  971. #set text(16pt)
  972. #double_boxes(
  973. auto,
  974. auto,
  975. [
  976. #table(
  977. columns: (1fr, auto, auto, auto),
  978. inset: 5pt,
  979. align: (auto, center, center, center),
  980. stroke: colors.indigo,
  981. [*id*],
  982. [*X*],
  983. [*mécanisme*],
  984. [*interpretation*],
  985. [ACHITE], text(fill: yellow)[12], [TAL1::RPTOR t(1;17)], [✅],
  986. [BECERRA], text(fill: yellow)[12], [TCR::LMO2], [❓],
  987. [CAMARA], text(fill: green)[20], [insertion intronique _MYB_], [❓],
  988. [COLLE], text(fill: red)[7], [], [],
  989. [DAHAN], text(fill: yellow)[13], [duplication intronique en tandem _TAL1_ (ex2-3)], [❓],
  990. [DOUYERE], text(fill: yellow)[22 pas mrd], [(BCL11B::TLX3)], [❓],
  991. [FALLE], [_en cours_], [], [],
  992. [GILLOUX], text(fill: yellow)[15 pas mrd], [pas d'altération locus _TAL1_], [❓],
  993. [HENAUX], text(fill: yellow)[12], [insertion intronique de 9nt dans _TAL1_ (ex3-4)], [❓],
  994. [JEANSELME], text(fill: yellow)[14], [duplication inversée intronique de 19nt dans _DAB1_], [❓],
  995. [ROBIN], text(fill: yellow)[14], [LMO2::RAG1 del 11q], [❓],
  996. [SCHOLZ], text(fill: yellow)[18 pas mrd], [Probable dup inversée chr2:26,269,840-32,135,324], [❓],
  997. )
  998. ],
  999. [],
  1000. )
  1001. ],
  1002. )
  1003. #simple_dia(
  1004. [🧬 Interesting results --- _TAL1_],
  1005. [
  1006. #align(
  1007. center + horizon,
  1008. grid(
  1009. columns: (auto, auto),
  1010. gutter: 10pt,
  1011. double_boxes(
  1012. auto,
  1013. auto,
  1014. [
  1015. #align(center, [*DAH*])
  1016. #v(12pt)
  1017. - Mono-allelic surexpression of TAL1.
  1018. - Somatic tandem duplication between exon 2 and 3 of TAL1.
  1019. - Also observed in ChIP-seq data showing broad H3K4me3 coverage.
  1020. ],
  1021. [],
  1022. ),
  1023. double_boxes(
  1024. auto,
  1025. auto,
  1026. image("./Images/DAH_TAL1_ins.png", height: 75%),
  1027. [],
  1028. ),
  1029. ),
  1030. )
  1031. ],
  1032. )
  1033. // #simple_dia(
  1034. // [🧬 Interesting results: _TAL1_],
  1035. // align(
  1036. // center + horizon,
  1037. // double_boxes(
  1038. // auto,
  1039. // 60%,
  1040. // align(center)[🌐 show CAMA MYB insertion on line…],
  1041. //
  1042. // [],
  1043. // ),
  1044. // ),
  1045. // )
  1046. #simple_dia(
  1047. [👥 Cohort _TLX1_ --- n = 8],
  1048. [
  1049. #set align(center + horizon)
  1050. #set text(16pt)
  1051. #double_boxes(
  1052. auto,
  1053. auto,
  1054. [
  1055. #table(
  1056. columns: (1fr, auto, auto, auto),
  1057. inset: 5pt,
  1058. align: (auto, center, center, center),
  1059. stroke: colors.indigo,
  1060. [*id*],
  1061. [*X*],
  1062. [*mécanisme*],
  1063. [*interpretation*],
  1064. [AUBERT], text(fill: green)[17], [del 10q (10mb) ~ _TLX1_], [✅],
  1065. [CHAMPION], text(fill: green)[32], [inv10], [✅],
  1066. [LEVASSEUR], text(fill: green)[20], [inv10 (avec 5’ UTR ralongé)], [✅],
  1067. [PARACHINI], text(fill: green)[17], [t(10;14)], [✅],
  1068. [PASSARD], text(fill: green)[18], [chromothripsis du 10], [✅],
  1069. [PAYSAN], [_en cours_], [], [],
  1070. [RIVOALEN], text(fill: green)[19], [inv10], [✅],
  1071. [SALICETTO], text(fill: yellow)[12 pas mrd], [inv10], [✅],
  1072. )
  1073. ],
  1074. [],
  1075. )
  1076. ],
  1077. )
  1078. #simple_dia(
  1079. [🧬 Interesting results --- _TLX1_],
  1080. [
  1081. #align(
  1082. center + horizon,
  1083. grid(
  1084. columns: (auto, auto),
  1085. gutter: 10pt,
  1086. [ #double_boxes(
  1087. auto,
  1088. auto,
  1089. [
  1090. #align(center, [*LEV*])
  1091. #v(12pt)
  1092. - Surexpression of TLX1.
  1093. #uncover((2, 3), [- Inv10 ])
  1094. #uncover(3, [- Modification of 3' UTR.])
  1095. ],
  1096. [],
  1097. )
  1098. #uncover(
  1099. 3,
  1100. double_boxes(auto, auto, image("./Images/utr_tlx1.png"), []),
  1101. )
  1102. ],
  1103. uncover(
  1104. (2, 3),
  1105. double_boxes(
  1106. auto,
  1107. auto,
  1108. image("./Images/LEV_inv10_tlx1.png", height: 75%),
  1109. [],
  1110. ),
  1111. ),
  1112. ),
  1113. )
  1114. ],
  1115. )
  1116. #simple_dia(
  1117. [🗣️ Discussion --- Poisson distribution & rare variants strategy] ,
  1118. double_boxes(auto, auto, align(center, image("./Images/freq_TRD_partners.png")), [])
  1119. )
  1120. #simple_dia(
  1121. [🏁 Conclusions],
  1122. [
  1123. #set align(center + horizon)
  1124. #double_boxes(
  1125. auto,
  1126. auto,
  1127. [
  1128. #align(center, [What is *done*])
  1129. #v(12pt)
  1130. #set list(marker: [✅])
  1131. - The implementation of a robust and more informative whole-genome sequencing method.
  1132. - The development of a pipeline for detecting somatic alterations (SNV, SV, viral insertion) as well as a simple way to visualize and interpret the results.
  1133. - Compare missense/indels variant calling with NGS panel.
  1134. - The integration, if available, of RNAseq / ChIPseq.
  1135. - Develop a de novo assembly pipeline (better accuracy and visualization of SV).
  1136. - Automate reporting.
  1137. ],
  1138. [],
  1139. )
  1140. #uncover(
  1141. 2,
  1142. [
  1143. #double_boxes(
  1144. auto,
  1145. auto,
  1146. [
  1147. #align(center, [*TODO*])
  1148. #v(12pt)
  1149. #set list(marker: [❌])
  1150. - Functional experiments ?
  1151. - Complete sequencing of cases (> 200).
  1152. - Aggregate results by cohorts and tag recurrency (at gene and mutation levels).
  1153. ],
  1154. [],
  1155. )
  1156. ],
  1157. )
  1158. ],
  1159. )
  1160. #simple_dia(
  1161. [💐 Remerciements],
  1162. [
  1163. #set align(center + horizon)
  1164. #grid(
  1165. columns: (auto, auto),
  1166. double_boxes(
  1167. auto,
  1168. auto,
  1169. [
  1170. #set align(center + horizon)
  1171. *The Necker team*
  1172. Pr. Vahid Asnafi
  1173. Dr. Patrick Villarese
  1174. Dr. Agata Cieslak
  1175. Coline Lefevre
  1176. ],
  1177. [],
  1178. ),
  1179. image("./Images/necker.svg"),
  1180. )
  1181. #grid(
  1182. columns: (auto, auto),
  1183. gutter: 10pt,
  1184. image("./Images/amu.png", height: 33%),
  1185. double_boxes(
  1186. auto,
  1187. auto,
  1188. [
  1189. #set align(center + horizon)
  1190. *The TAGC team*
  1191. Dr. Salvatore Spicuglia
  1192. Dr. Guillaume Charbonnier
  1193. Gaëlle Farah
  1194. ],
  1195. [],
  1196. ),
  1197. )
  1198. ],
  1199. )